The Unique Informational Effciency of the Lindahl Allocation Process in Economies with Public Goods

Size: px
Start display at page:

Download "The Unique Informational Effciency of the Lindahl Allocation Process in Economies with Public Goods"

Transcription

1 MPRA Munch Personal RePEc Archve The Unque Informatonal Effcency of the Lndahl Allocaton Process n Economes wth Publc Goods Guoqang Tan 2001 Onlne at MPRA Paper No , posted 12 September :54 UTC

2 The Unque Informatonal Effcency of the Lndahl Allocaton Process n Economes wth Publc Goods Guoqang TIAN Department of Economcs Texas A&M Unversty College Staton, Texas (gtan@tamu.edu) May, 2003/revsed October, 2005 Abstract Ths paper nvestgates the nformatonal requrements of resource allocaton processes n publc goods economes wth any number of frms and commodtes. We show that the Lndahl mechansm s nformatonally effcent n the sense that t uses the smallest message space among smooth resource allocaton processes that are nformatonally decentralzed and realze Pareto optmal allocatons over the class of publc goods economes where Lndahl equlbra exst. Furthermore, we show that the Lndahl mechansm s the unque nformatonally effcent decentralzed mechansm that realzes Pareto effcent and ndvdually ratonal allocatons n publc goods economes wth Cobb-Douglas utlty functons and quadratc producton functons. Journal of Economc Lterature Classfcaton Number: D5, D61, D71, D83, P51. 1 Introducton Snce the poneerng work of Hurwcz (1960) and Mount and Reter (1974), there has been a lot of work on studyng the nformatonal requrements of decentralzed resource allocaton mechansms. The focus n ths lterature has partcularly been on the dmenson of the message space beng used for communcaton among agents. These nformatonal requrements depend upon two basc components: the class and types of economc envronments over whch a mechansm s supposed to operate and the partcular outcomes that a mechansm s requred to realze. Ths paper wll study the nformatonal requrements of resource allocaton mechansms that select Pareto optmal allocatons for publc goods economes wth general convex producton technologes and any number of producers and goods. Fnancal support from the Texas Advanced Research Program as well as from the Prvate Enterprse Research Center, and the Lews Faculty Fellowshp at Texas A&M Unversty s gratefully acknowledged. 1

3 The nterest n studyng the nformatonal requrements and the desgn of resource allocaton mechansms was greatly stmulated by the socalst controversy the debate over the feasblty of central plannng between Mses-Hayek and Lange-Lerner. In lne wth the prevalng tradton, nterest n ths area was focused on Pareto-optmalty and nformatonally decentralzed decson makng. Allocatve effcency (Pareto optmalty) and nformatonal effcency are two hghly desred propertes for an economc mechansm to have. Pareto optmalty requres resources be allocated effcently whle nformatonal effcency requres an economc system have the mnmal nformatonal cost of operaton. The noton of an allocaton mechansm was frst formalzed by Hurwcz (1960). Such a mechansm can be vewed as an abstract plannng procedure; t conssts of a message space n whch communcaton takes place, rules by whch the agents form messages, and an outcome functon that translates messages nto outcomes (allocatons of resources). Mechansms are magned to operate teratvely. Attenton, however, may be focused on mechansms that have statonary or equlbrum messages for each possble economc envronment. A mechansm realzes a prespecfed welfare crteron (called socal choce rule, or socal choce correspondence) f the outcomes gven by the outcome functon agree wth the welfare crteron at the statonary messages. The realzaton theory studes the queston of how much communcaton must be provded to realze a gven performance, or more precsely, studes the mnmal nformatonal cost of operatng a gven performance n terms of the sze of the message space and determnes whch economc system or socal choce rule s nformatonally the most effcent n the sense that a mnmal nformatonal cost s used to operate the system. Such studes can be found n Hurwcz (1972, 1977), Mount and Reter (1974), Calsamgla (1977), Walker (1977), Sato (1981), Hurwcz, Reter, and Saar (1985), Calsamgla and Krman (1993), Tan (1990, 1994, 2004, 2006) among others. One of the well-known results n ths lterature establshes the mnmalty of the compettve mechansm n usng nformaton for pure exchange economes. Hurwcz (1972), Mount and Reter (1974), Walker (1977), Hurwcz (1986b) among others proved that, for pure exchange prvate goods economes, the Walrasan allocaton process s the nformatonally effcent process n the sense that any smooth nformatonlly decentralzed allocaton mechansm that acheves Pareto optmal allocatons must use nformaton as least as large as the compettve mechansm,.e., the compettve allocaton process has a message space of mnmal dmenson among smooth resource allocaton processes that are prvacy preservng (nformatonally decentralzed) and non-wasteful (.e., yeldng Pareto effcent allocatons). 1 For brevty, these results have been referred to as the Effcency Theorem. Jordan (1982) and Calsamgla and Krman (1993) further provded the Unqueness Theorem for prvate goods pure exchange economes. Jordan (1982) 1 The term smoothness used here s not referred as the usual dfferentablty of a functon. Instead, the smoothness of a mechansm referees that the statonary message correspondence s ether locally threaded or f the nverse of the statonary message correspondence has a Lpschzan-contnuous selecton n the subset. Ths termnology was used by Hurwcz (1999). We wll gve the defnton of the local threadedness below. 2

4 proved that the compettve allocaton process s unquely nformatonally effcent. Calsamgla and Krman (1993) proved the equal ncome Walrasan mechansm s unquely nformatonally effcent among all allocatons mechansms that realze far allocatons. Recently, Tan (2004) nvestgates the nformatonal requrements of resource allocaton processes n pure exchange economes wth consumpton externaltes. It s shown that the dstrbutve Lndahl mechansm s a unquely nformatonally effcent allocaton process that s nformatonally decentralzed and realzes Pareto effcent allocatons over the class of economes that nclude non-malevolent economes. Tan (2006) further proved the unque nformatonal effcency of the compettve market mechansm for prvate ownershp producton economes. These effcency and unqueness results are of fundamental mportance from the pont of vew of poltcal economy. They show the unqueness of the compettve market mechansm n terms of allocatve effcency and nformatonal effcency for prvate goods economes. The concept of Lndahl equlbrum n economes wth publc goods s, n many ways, a natural generalzaton of the Walrasan equlbrum noton n prvate goods economes, wth attenton to the well-known dualty that reverses the role of prces and quanttes between prvate and publc goods, and between Walrasan and Lndahl allocatons. In the Walrasan case, prces must be equalzed whle quanttes are ndvdualzed; n the Lndahl case the quanttes of the publc good must be the same for everyone, whle prces charged for publc goods are ndvdualzed. In addton, the concepts of Walrasan and Lndahl equlbra are both relevant to prvate-ownershp economes. Furthermore, they are characterzed by purely prce-takng behavor on the part of agents. It s essentally ths property that one can also explot to defne the Lndahl process as an nformatonally decentralzed process. For the class of publc goods economes, Sato (1981) obtaned a smlar result showng that the Lndahl allocaton process has a message space of mnmal dmenson among a certan class of resource allocaton processes that are prvacy preservng and non-wasteful. However, Sato (1981) only dealt wth the class of publc goods economes wth ust a sngle producer, and n such a case, a specal class of economes s constructed usng a class of lnear producton sets for the producer. Qute clearly, more complex producton sets must be devsed when the number of frms ncreases. So one of the purpose of the paper s to fll ths gap, although our man purpose n the paper s to establsh the unque nformatonal effcency of the Lndahl mechansm. In ths paper we establsh the nformatonal optmalty and unqueness of the Lndahl mechansm for publc goods economes wth any number of producers. The task of ths paper s three-fold. Frst, we establsh the lower bound of nformaton, as measured by the Fréchet topologcal sze of the message space, that s requred to guarantee an nformatonally decentralzed mechansm to realze Pareto effcent allocatons over the class of publc goods economes. Theorem 1 shows that any smooth nformatonally decentralzed mechansm that realzes Pareto effcent allocatons on a class of publc goods economes that ncludes a test famly of Cobb- Douglas utlty functons and quadratc producton functons as a subclass has a message space of dmenson no smaller than (L + K 1)I + (L + K)J, where I s the number of consumers, J 3

5 s the number of frms, L s the number of prvate goods, and K s the number of publc goods. Second, we establsh the nformatonal optmalty of the Lndahl mechansm. Theorem 2 shows that the lower bound s exactly the sze of the message space of the Lndahl mechansm, and thus any smooth nformatonally decentralzed mechansm that realzes Pareto effcent allocatons over the class of publc goods economes n whch Lndahl equlbra exst has a message space of dmenson no smaller than the one for the Lndahl allocaton mechansm, and thus the Lndahl mechansm s nformatonally the most effcent process among smooth prvacy preservng and non-wasteful resource allocaton mechansms. Thrd, we show that the Lndahl mechansm s actually the unque nformatonally effcent process that realzes Pareto effcent and ndvdually ratonal allocatons over the class of publc goods economes wth Cobb-Douglas utlty functons and quadratc producton functons. Theorem 3 shows that any nformatonally decentralzed, ndvdually ratonal, and non-wasteful mechansm wth the (L+K 1)I +(L+L)J-dmensonal message space and a contnuous snglevalued statonary message functon s essentally the Lndahl mechansm on the test famly wth Cobb-Douglas utlty functons and quadratc producton functons. Thus, any other economc nsttuton that acheves Pareto effcent and ndvdually ratonal allocatons for publc goods economes must use a message space whose nformatonal sze s bgger than that of the Lndahl mechansm. In an unpublshed paper, Nayak (1982) attempted to establsh the nformatonal effcency of the Lndahl mechansm for publc goods economes. However, he consdered an unusual class of producton technology sets that results n postve outputs wth zero nputs. Nevertheless, to the author s knowledge, there s no Unqueness Theorem on the Lndahl mechansm for publc goods economes n the lterature. It may also be worthwhle to menton that the proof of Lemma 6 reles on the local homology of manfolds. However, no knowledge of algebrac topology s requred to understand the statements of the other lemmas and theorems. The remander of ths paper s as follows. In Secton 2, we provde a formal descrpton of the model. We specfy publc goods economc envronments wth any number of goods and frms, and gve notaton and defntons on resource allocaton, performance correspondence, outcome functon, allocaton mechansm, etc. Secton 3 establshes a lower bound of the sze of the message space that s requred to guarantee that a smooth nformatonally decentralzed mechansm that realzes Pareto effcent allocatons on the class of publc goods economes. Secton 4 gves an Effcency Theorem on the allocatve effcency and nformatonal effcency of the Lndahl mechansm for the class of publc goods economes where Lndahl equlbra exst. Secton 5 gves a Unqueness Theorem that shows that only the Lndahl mechansm s nformatonally effcent over the class of publc goods economes wth Cobb-Douglas utlty functons and quadratc producton functons. Concludng remarks are presented n secton 6. 4

6 2 Model In ths secton we wll gve notaton, defntons, and a framework that wll be used n the paper. 2.1 Publc Goods Economc Envronments Consder publc goods economes wth L prvate goods, K publc goods, I consumers (characterzed by ther consumpton sets, preferences, and endowments), and J frms (characterzed by ther producton sets). It wll often be convenent to dstngush a vector representng a prvate commodty bundle wth an ndex ρ, a vector of publc goods wth an ndex σ. Throughout ths paper, subscrpts are used to ndex consumers or frms, and superscrpts are used to ndex goods unless otherwse stated. By an agent, we wll mean ether a consumer or a producer, thus there are N := I + J 2 agents. 2 For the th consumer, hs characterstc s denoted by e = (X, w, R ), where X R L+K s hs consumpton set, w R L s hs ntal endowments of the prvate goods, and R s a preference orderng on X whch s assumed to be strctly monotoncally ncreasng, convex 3, and contnuous. Let P be the strct preference (asymmetrc part) of R. We assume that there are no ntal endowments of publc goods, and the publc goods wll be produced from prvate goods. For producer, hs characterstc s denoted by e = (Y ) where Y R L+K s hs producton possblty set. We assume that, for = I + 1,..., N, Y s nonempty, closed, convex, and 0 Y. Denote by E the set of the -th agent s characterstcs. An economy s the full vector e = (e 1,..., e I, e I+1,..., e N ) and the set of all such producton economes s denoted by E that s endowed wth the product topology. 2.2 Allocatons Let x = (x ρ, xσ ) denote a consumpton bundle of commodtes by consumer, where xρ s the net exchange of prvate goods and x σ s a consumpton vector of the publc goods by consumer. Denote by x = (x 1,..., x I ) a (net) consumpton dstrbuton. A consumpton dstrbuton x s sad to be ndvdually feasble f (x ρ + w, x σ ) X for all = 1,..., I. Smlarly, let y = (y ρ, yσ ) denote producer s (net) output vector that has postve components for outputs and negatve ones for nputs. Here y ρ s a producton vector of the prvate goods and yσ s a producton vector of the publc goods by producer. Note that, by the assumpton of no publc goods nputs, y σ 0. Denote by y = (y I+1,..., y N ) a producton plan. A producton plan y s sad to be ndvdually feasble f y Y for all = I + 1,..., I + J. An allocaton of the economy e s a vector z := (x, y) R N(L+K) wth (x ρ + w, x σ ) X for = 1,..., I and y Y for = I = 1,..., I + J. An allocaton z = (x, y) s sad to be consstent 2 As usual, vector nequaltes are defned as follows: Let a, b R m. Then a b means a s b s for all s = 1,..., m; a b means a b but a b; a > b means a s > b s for all s = 1,..., m. 3 R s convex f for bundles a, b, c wth 0 < λ 1 and c = λa + (1 λ)b, the relaton a P b mples c P b. Note that the term convex s defned as n Debreu (1959), not as n some recent textbooks. 5

7 f and x σ = I x ρ = =1 N =I+1 N =I+1 y ρ, (1) y σ, = 1,..., I, (2).e., the total net demand for the prvate goods by consumers s equal to the total net supply of prvate goods by producers, and the consumpton of the publc goods by each consumer s equal to the total producton of publc goods by producers, and thus all consumers consume the same amounts of publc goods. An allocaton z = (x, y) s sad to be feasble f t s consstent and ndvdually feasble for all ndvduals. An allocaton z = (x, y) s sad to be Pareto effcent f t s feasble and there does not exst another feasble allocaton z = (x, y ) such that (x ρ + w, x σ )R (x ρ + w, x σ ) for all = 1,..., I and (x ρ + w, x σ )P (x ρ + w, x σ ) for some = 1,..., I. Denote by P (e) the set of all such allocatons. An mportant characterzaton of a Pareto optmal allocaton s assocated wth the followng concept. A prce system (p, q) = (p, q 1,..., q I ) R L+IK + s called a vector of effcency prces for a Pareto optmal allocaton (x, y) f (a) p x ρ +q x σ p x ρ +q x σ for all = 1,..., I and all x such that (x ρ +w, x σ ) X fo and (x ρ + w, x σ )R (x ρ + w, x σ ); (b) p y ρ + ˆq yσ p yρ + ˆq yσ for all y Y, = I + 1,..., N. Here ˆq = I =1 q. Smlar to Debreu (1959, p. 93), we may call (x, y) an equlbrum relatve to the prce system p. It s well known that under certan regularty condtons such as convexty, contnuty, etc, as we assumed n the paper, every Pareto optmal allocaton (x, y) has an effcency prce assocated wth t (see Foley (1970) and Mlleron (1972)). Note that by the strct monotoncty of preferences, we must have (p, q) R L+IK ++ It s perhaps not obvous what the approprate generalzaton of the ndvdual ratonalty concept should be for publc goods economes n the presence of decreasng returns to scale. It s natural to seek a dstrbuton (called the reference dstrbuton) that would play a role analogous to that played by the ntal endowment n the case of constant returns. The reference dstrbuton then should depend on the envronment as well as how much was produced, by whom, and other factors. Thus, smlar to Hurwcz (1979), we ntroduce the followng defnton of ndvdual ratonalty of an allocaton for publc goods economes, whch ncludes the usual ndvdual ratonalty for publc goods economes wth constant returns as a specal case. An allocaton z = (x, y) s sad to be ndvdually ratonal wth respect to the fxed share guarantee structure γ (e; θ) f (x ρ + w, x σ )R (γ (e; θ) + w, 0) for all = 1,..., I. Here, γ (e; θ) 6

8 s gven by γ (e; θ) = N =I+1 θ [p y ρ + ˆq yσ ] p w w, = 1,..., I, (3) where (p; q) s an effcency prce system for e and the θ are non-negatve fractons such that n =1 θ = 1 for = I + 1,..., N. Denote by I θ (e) the set of all such allocatons. Now we defne the Lndahl equlbra of a prvate ownershp economy wth publc goods n whch the -th consumer owns the share θ of the -th producer, and s, consequently enttled to the correspondng fracton of ts profts. Thus, the ownershp structure can be denoted by the matrx θ = (θ ). Denote by Θ the set of all such ownershp structures. An allocaton z = (x, y) = (x 1, x 2,..., x I, y I+1, y I+2,..., y N ) R I(L+K) ++ Y s a θ-lndahl allocaton for an economy e f t s feasble and there s a prce system (p, q) = (p, q 1,..., q I ) wth the prce vector p R L ++ and personalzed prce vectors q R K ++, one for each, such that: (1) p x ρ + q x σ = N =I+1 θ [p y ρ + ˆq yσ ] for all = 1,..., I; (2) (x ρ + w, x σ ) P (x ρ + w, x σ for all = 1,..., I; (3) p y ρ + ˆq yσ p yρ ) mples p xρ + q x σ > N =I+1 θ [p y ρ + ˆq yσ ] + ˆq yσ for all y Y and = I + 1,..., N. Here ˆq = I =1 q. Denote by L θ (e) the set of all such allocatons, and by L θ (e) the set of all such prce-allocaton trple (p, q, z). It may be remarked that, every θ-lndahl allocaton s clearly ndvdually ratonal wth respect to γ (e; θ), and also, by the strct monotoncty of preferences, t s Pareto effcent. Thus we have L θ (e) I θ (e) P (e) for all e E. 2.3 Allocaton Mechansms Let Z = {(x, y) R (L+K)(I+J) : I =1 xρ = N =I+1 yρ & x σ = N =I+1 yσ ( = 1,..., I)} and let F be a socal choce rule,.e., a correspondence from E to Z. Followng Mount and Reter (1974), a message process s a par M, µ, where M s a set of abstract messages and called message space, and µ : E M s a statonary or equlbrum message correspondence that assgns to every economy e the set of statonary (equlbrum) messages. An allocaton mechansm (process) s a trple M, µ, h defned on E, where h : M Z s the outcome functon that assgns every equlbrum message m µ(e) to the correspondng trade z Z. An allocaton mechansm M, µ, h, defned on E, realzes the socal choce rule F, f for all e E, µ(e) and h(m) F (e) for all m µ(e). In ths paper, nformatonal propertes wll be nvestgated for a class of mechansms that realze Pareto effcent outcomes. Let P(e) be a set of Pareto effcent allocatons for e E. An allocaton mechansm M, µ, h s sad to be non-wasteful on E wth respect to P f for all e E, µ(e) and h(m) P(e) for all m µ(e). If an allocaton mechansm M, µ, h s non-wasteful on E wth respect to P, the set of all Pareto effcent outcomes, then t s sad smply to be non-wasteful on E. 7

9 An allocaton mechansm M, µ, h s sad to be prvacy-preservng or nformatonally decentralzed on E f there exsts a correspondence µ : E M for each such that µ(e) = n =1 µ (e ) for all e E. Thus, when a mechansm s prvacy-preservng, each ndvdual s messages are dependent on the envronments only through the characterstcs of the ndvdual and the ndvdual does not need to know the characterstcs of the other ndvduals. Remark 1 Ths mportant feature of the communcaton process mples that the so called crossng condton has to be satsfed. Mount and Reter (Lemma 5, 1974) showed that an allocaton mechansm M, µ, h s prvacy-preservng on E f and only f for every and every e and e n E, µ(e) µ(e ) = µ(e, e ) µ(e, e ), where (e, e ) = (e 1,..., e 1, e, e +1,..., e N ),.e., the th element of e s replaced by e. Thus, f two economes have the same equlbrum message, then any crossed economy n whch one agent from one of the two ntal economes s swtched wth the agent from the other must have the same equlbrum message. Hence, for a gven mechansm, f two economes have the same equlbrum message m, the mechansm leads to the same outcome for both, and further, ths outcome must also be the outcome of the mechansm for any of the crossed economes because of the crossng condton. Let M, µ, h be an allocaton mechansm on E. The statonary message correspondence µ s sad to be locally threaded at e E f t has a locally contnuous sngle-valued selecton at e. That s, there s a neghborhood N(e) E and a contnuous functon f : N(e) M such that f(e ) µ(e ) for all e N(e). The statonary message correspondence µ s sad to be locally threaded on E f t s locally threaded at every e E. 2.4 The Lndahl Process We now gve a prvacy-preservng process that realzes the Lndahl correspondence L θ, and n whch messages consst of prces and trades of all agents. To do so, we restrct ourselves to the subset, denoted by E L, of producton economes on whch L(e) for all e E L. For convenence, n ths secton, we normalze the prce system by makng the frst prvate goods the numerare so that p 1 = 1. by Defne the demand correspondence of consumer ( = 1,..., I) D : R L ++ R IK ++ Θ R J + E D (p, q, θ, π I+1,..., π N, e ) = (4) N {x : (x ρ + w, x σ ) X, p x ρ + q x σ = θ π =I+1 (x ρ + w, x σ ) P (x ρ + w, x σ ) mples p x ρ + q x σ > where π s the proft of frm ( = I + 1,..., N). N =I+1 θ π, } (5) 8

10 Defne the supply correspondence of producer ( = I + 1,..., N) S : R L ++ R IK ++ E by S (p, q, e ) = {y : y Y, p y ρ + ˆq yσ p y ρ + ˆq yσ y Y }. (6) Note that (p, q, x, y) s a θ-lndahl equlbrum for economy e wth the prvate ownershp structure θ f p R L ++, q R IK ++, x D (p, q, θ, p y ρ I+1 + ˆq yσ I+1,..., p yρ N + ˆq yσ N, ) for = 1,..., I, y S (p, q, e ) for = I + 1,..., N, and the allocaton (x, y) s consstent. The Lndahl process M L, µ L, h L s defned as follows. Defne M L = R L ++ R IK ++ Z. Defne µ L : E M L by µ L (e) = where µ L : E M L s defned as follows: N µ L (e ), (7) =1 (1) For = 1,..., I, µ L (e ) = {(p, q, x, y) : p R L ++, q R IK ++, x D (p, q, θ, p y ρ I+1 +ˆq yσ I+1,..., p yρ N +ˆq yσ N, e ), I =1 xρ = N =I+1 yρ, and xσ = N =I+1 yσ, = 1,..., I}. (2) For = I + 1,..., N, µ L (e ) = {(p, q, x, y) : p R L ++, q R IK ++, y S (p, q, e ), I =1 xρ = N =I+1 yρ, and xσ = N =I+1 yσ, = 1,..., I}. Thus, we have µ L (e) = L θ (e) for all e E. Fnally, the Lndahl outcome functon h L : M L Z s defned by whch s an element n L θ (e). h L (p, q, x, y) = (x, y), (8) The Lndahl process can be vewed as a formalzaton of resource allocaton, whch s nonwasteful and ndvdually ratonal wth respect to the fxed share guarantee structure γ (e; θ). The Lndahl message process s prvacy-preservng by the constructon of the Lndahl process. Remark 2 For a gven prvate ownershp structure matrx θ, snce an element, m = (p, q, x 1,..., x I, y I+1,..., y N ) R L ++ R IK ++ R N(L+K), of the Lndahl message space M L satsfes the condtons p 1 = 1, I =1 xρ = N =I+1 yρ, xσ = N =I+1 yσ, p xρ + q x σ = N =I+1 θ [p y ρ + ˆq yσ ] for = 1,..., I, and one of these equatons s not ndependent, any Lndahl message s contaned wthn a Eucldean space of dmenson (L+IK +IL+IK +JL+JK) (1+L++IK +I)+1 = (L + K 1)I + (L + K)J and thus, an upper bound on the Eucldean dmenson of M L s (L + K 1)I + (L + K)J. 2.5 Informatonal Sze of Message Spaces The noton of nformatonal sze can be consdered as a concept that characterzes the relatve szes of topologcal spaces that are used to convey nformaton n the resource allocaton process. 9

11 It would be natural to consder that a space, say S, has more nformaton than the other space T whenever S s topologcally larger than T. Ths suggests the followng defnton, whch was ntroduced by Walker (1977). Let S and T be two topologcal spaces. The space S s sad to have as much nformaton as the space T by the Fréchet orderng, denoted by S F T, f T can be embedded homeomorphcally n S,.e., f there s a subspace of S of S whch s homeomorphc to T. Let S and T be two topologcal spaces and let ψ : T S be a correspondence. The correspondence ψ s sad to be nectve f ψ(t) ψ(t ) mples t = t for any t, t T. That s, the nverse, (ψ) 1, of ψ s a sngle-valued functon. A topologcal space M s an n-dmensonal manfold f t s locally homeomorphc to R n. 2.6 Cobb-Douglas-Quadratc Economes To establsh the nformatonal effcency of the Lndahl mechansm, we wll adopt a standard approach that s wdely used n the realzaton lterature: For a set of admssble economes and a smooth nformatonally decentralzed mechansm realzng a socal choce correspondence, f one can fnd a (parametrzed) subset (test famly) of the set such that the subset s of dmenson n, and the statonary message correspondence s nectve, that s, f the nverse of the statonary message correspondence s sngle-valued, then the dmenson of the message space requred for an nformatonally decentralzed mechansm to realze the socal choce correspondence cannot be lower than n on the subset. Thus, t cannot be lower than n for any superset of the subset, and n partcular, for the entre class of economes. It s ths result that was used by Hurwcz (1977), Mount and Reter (1974), Walker (1977), Sato (1981), Calsamgla and Krman (1993) among others to show the mnmal dmenson and thus nformatonal effcency of the compettve mechansm, Lndahl mechansm, and the equal-ncome Walrasan mechansm over the varous classes of economc envronments. It s also ths result that was used by Calsamgla (1977) and Hurwcz (1999) to show the non-exstence of a smooth fnte-dmensonal message space mechansm that realze Pareto effcent allocatons n certan economes wth ncreasng returns and economes wth producton externaltes that result n non-convex producton sets. It s the same result that wll be used n the present paper to establsh the lower bound of the sze of the message space requred for an nformatonally decentralzed and non-wasteful smooth mechansm on the test famly that we wll specfy below, and consequently over the entre class of publc goods economes wth general convex preferences and producton sets. The test famly, denoted by E cq = N =1 Ecq, are a specal class of publc goods economes, where preference orderngs are characterzed by Cobb-Douglas utlty functons, and effcent producton technology are characterzed by quadratc functons. For = 1,..., I, consumer s admssble economc characterstcs n E cq are gven by the set of all e = (X, w, R ) such that X = R L+K +, w > 0, and R s represented by a Cobb- Douglas utlty functon u(, a, c ) wth a R L 1 ++ and c R K ++ such that u(x ρ +w, x σ, a, c ) = 10

12 (x ρ1 + w 1)[ L l=2 (xρl + w l )al ][ K k=1 (xσk ) ck ]. For = I + 1,..., N, producer s admssble economc characterstcs are gven by the set of all e = Y(b, d ) such that Y(b, d ) = {y R L : b 1 y y ρl 1 b l L l=2 [y ρl for l = 2,..., L + bl 2 (yρl )2 ] + K [y σk k=1 + dk 2 (yσk ) 2 ] 0 0 y σk 1 d k for k = 1,..., K}, (9) where b = (b 1,..., bl ) wth bl > 1 for l = 1,..., L, and d = (d 1,..., dk ) wth dd > 1 for k = 1,..., K. It s clear that any economy n E cq s fully specfed by the parameters a = (a 2,..., a I ), b = (b I+1,..., b N ), c = (c 1,..., c I ), and d = (d I+1,..., d N ). Furthermore, producton sets are nonempty, closed, and convex by notng that 0 Y(b, d ) and ther effcent ponts are represented by quadratc producton functons n whch y ρ1 components of y are outputs. s an nput, and all other Gven an ntal endowment w R LI ++, wth w 1 2(L + K 1)J, defne a subset Ēcq of E cq by Ēcq = {e E cd : w = w = 1,..., I}. That s, endowments are constant over Ēcq. A topology s ntroduced to the class Ēcq as follows. Let be the usual Eucldean norm on R L+K. For each consumer, ( = 1,..., I), defne a metrc δ on Ēcq by δ[u (, a, c ), u(, ā, c )] = a ā + c c. Note that, snce endowments are fxed over Ēcq, ths defnes a topology on Ēcq. Smlarly, for each producer, ( = I + 1,..., N), defne a metrc δ on Ēcq by δ[y(b, d ), Y( b, d )] = b b + d d. We may endow Ēcq wth the product topology of the Ē cq ( = 1,..., N) and we call ths the parameter topology, whch wll be denoted by T p. Then t s clear that the topologcal space (Ēcq, T p ) s homeomorphc to the (L + K 1)I + (L + K)J dmensonal Eucldean space R (L+K 1)I+(L+K)J. 3 The Lower Bound of Informatonal Requrements of Mechansms In ths secton we establsh a lower bound (the mnmal amount) of nformaton, as measured by the Fréchet nformaton sze of the message space, that s requred to guarantee that an nformatonally decentralzed mechansm realzes Pareto effcent allocatons on, E, the class of publc goods economes. As usual, to establsh the effcency results, we need to mpose the nterorty assumpton that Pareto effcent allocatons are nteror. A suffcent condton that guarantees nteror outcomes s that a mechansm s ndvdually ratonal. In fact, a mechansm that gves everythng to a sngle ndvdual yelds Pareto effcent outcomes and no nformaton about prces s needed. Thus, gven a class E of economes that ncludes E cq, we defne an optmalty correspondence 11

13 P : E Z such that the restrcton P E cq assocates wth e E cq the set of P(e) of all the Pareto effcent allocatons that assgn strctly postve consumpton to every consumer. The followng lemma, whch s based on the test famly of Cob-Douglas Quadratc economes Ē cq specfed n the above secton, s central n fndng the lower bound of nformatonal requrements of resource allocaton processes by the Fréchet orderng. Lemma 1 Suppose M, µ, h s an allocaton mechansm on the specal class of economes Ēcq such that: () t s nformatonally decentralzed; () t s non-wasteful wth respect to P. Then, the statonary message correspondence µ s nectve on Ēcq. That s, ts nverse s a sngle-valued mappng on µ(ēcq ). Proof. Suppose that there s a message m µ(e) µ(ē) for e, ē Ēcq. It wll be proved that e = ē. Snce µ s a prvacy-preservng correspondence, for all = 1,..., N by Remark 1, and hence, n partcular, µ(e) µ(ē) = µ(ē, e ) µ(e, ē ) (10) m µ(e) µ(ē, e ) (11) for all = 1,..., N. Let z = (x, y) = h(m). Snce the process M, µ, h s non-wasteful wth respect to P, z = h(m) and (11 ) mply that z P(e) P(ē, e ). Snce Cobb-Douglas utlty functons u (x) are strctly quas-concave and producton functons defned by effcent ponts of L l=2 (yρl K k=1 (yσl producton sets, y ρ1 = 1 + bl b 1 2 (yρl )2 ) dk b 1 2 (yσk by the usual Lagrangan method of constraned maxmzaton, z P(e) mples ) 2 ), are strctly convex, a l (xρ1 + w 1) (x ρl + w l) = 1 + b l yρl b 1 l = 2,..., L, = 1,..., I, = I + 1,..., N, (12) and I =1 b 1 y 1 = c k (xρ1 + w 1 ) x σk L l=2 [y ρl = 1 + dk yσk b 1 + bl 2 (yρl )2 ] K [y σk k=1 k = 1,..., K, = I + 1,..., N, (13) + dk 2 (yσk ) 2 ] = I + 1,..., N. (14) (12) and (13) are well-known condtons for Pareto effcency for economes wth publc goods. At Pareto optmalty, (12) means the margnal rate of substtuton between two prvates goods for each consumer should be equal to the margnal rate of techncal substtuton between the two goods for all producers, and (13) means the sum of margnal rate of substtutons between 12

14 a publc good and a prvates good for all consumers should be equal to the margnal rate of techncal substtuton between these two goods for all producers. Smlarly, z P(ē, e ) mples ā l (xρ1 + w 1) (x ρl + w l) = 1 + b l yρl b 1 l = 2,..., L, = 1,..., I, = I + 1,..., N, (15) c k (xρ1 + w 1) x σk + I s c k s(x ρ1 s + w 1 s) x σk s From equatons (12) and (15), we have = 1 + dk yσk b 1 k = 1,..., K, = I + 1,..., N. (16) and from equatons (13) and (16), we have a l = ā l l = 2,..., L, = 1,..., I, (17) and thus we have c k (xρ1 + w 1 ) x σk = ck (xρ1 + w 1 ) x σk (18) c k = c k k = 1,..., K, = 1,..., I, (19).e., a = ā and c = c. and As for producers, z P(ē, e ) mples a l (xρ1 + w 1) (x ρl + w l) = I =1 b1 y 1 = c k (xρ1 + w 1 ) x σk L l=2 [y ρl 1 + b l yρl b1 l = 2,..., L, = 1,..., I, = I + 1,..., N, (20) = 1 + d k yσk k = 1,..., K, = I + 1,..., N, (21) b1 + bl 2 (yρl )2 ] From equatons (12) and (20), we derve K [y σk + k=1 d k 2 (yσk ) 2 ] = I + 1,..., N. (22) b 1 = 1 + bl yρl b1 1 + b l yρl l = 2,..., L, ; = I + 1,..., N. (23) Also, from equatons (13) and (21), we derve b 1 = 1 + dk yσk b1 1 + d l yσk k = 1,..., K, = I + 1,..., N. (24) From equatons (14) and (22), we derve b 1 L l=2 = (1 + bl b1 2 yρl )yρl + K k=1 (1 + dk L l=2 (1 + b l 2 yρl )yρl + K k=1 (1 + d k 2 yσk 2 yσk )y σk )y σk = I + 1,..., N. (25) 13

15 Thus, from equatons (23) and (25), we have 1 + b l yρl L l=2 (1 + bl 2 yρl )yρl + K k=1 (1 + dk 2 yσk )y σk = 1 + b l yρl L l=2 (1 + b l 2 yρl )yρl + K k=1 (1 + d k for l = 2,..., L, = I + 1,..., N, and from equatons (24) and (25), we have 2 yσk )y σk (26) 1 + d k yσk L l=2 (1 + bk 2 yρl )yρl + K k=1 (1 + dk for l = 2,..., L, = I + 1,..., N. 2 yσk )y σk = 1 + d k yσk L l=2 (1 + b l 2 yρl )yρl + K k=1 (1 + d k 2 yσk Multplyng y ρl on the both sdes of equaton (26) and y σk on the both sdes of equaton (27), and then makng summatons oven these two equatons, we have )y σk (27) L l=2 (1 + bl yρl )yρl + K k=1 (1 + dk yσk L l=2 (1 + bl 2 yρl )yρl + K k=1 (1 + dk 2 yσk )y σk )y σk for = I + 1,..., N. Smplfyng equaton (28), we have = L l=2 (1 + b l yρl )yρl + K k=1 (1 + d k yσk L l=2 (1 + b l 2 yρl )yρl + K k=1 (1 + d k 2 yσk )y σk )y σk (28) L l=2 b l (y ρl )2 + K k=1 d k (y σk ) 2 = L l=2 bl (y ρl )2 + Multplyng 1/2 and addng L l=2 yρl + K k=1 yσk applyng equatons (14) and (22), we have b 1 y ρ1 K k=1 d k (y σk ) 2 = I + 1,..., N. (29) on the both sdes of equaton (29), and then = b 1 y ρ1 = I + 1,..., N, (30) whch mples b 1 = b 1 = I + 1,..., N. (31) Fnally, from equatons (23), (24) and (31), we have b l = b l l = 2,..., L, = I + 1,..., N. (32) and Thus, we have proved and d k = d k k = 1,..., K, = I + 1,..., N. (33) b = b = I + 1,..., N, (34) d = d = I + 1,..., N, (35) whch means b = b and d = d. Thus, equatons (17), (19), (34), and (35) mean that e = ē. Consequently, the nverse of the statonary message correspondence, (µ) 1 s a sngle-valued mappng from µ(ēcq ) to Ēcq. Q.E.D. The followng theorem establshes a lower bound of the Fréchet orderng nformatonal sze of messages spaces of any smooth allocaton mechansm that s nformatonally decentralzed and non-wasteful over the class of economes E. 14

16 Theorem 1 (Informatonal Boundedness Theorem) Suppose that M, µ, h s an allocaton mechansm on the class of publc goods economes E such that: () t s nformatonally decentralzed; () t s non-wasteful wth respect to P; () M s a Hausdorff topologcal space; (v) µ s locally threaded at some pont e Ēcq. Then, the sze of the message space M s at least as large as R (L+K 1)I+(L+K)J, that s, M F R (L+K 1)I+(L+K)J. Proof. As was noted above, Ē cq s homeomorphc to R (L+K 1)I+(L+K)J. Hence, t suffces to show M F Ē cq. By the nectveness of Lemma 1, we know that the restrcton µ Ē cq of the statonary message correspondence µ to Ēcq s an nectve correspondence. Snce µ s locally threaded at e Ēcq, there exsts a neghborhood N(e) of e and a contnuous functon f : N(e) M such that f(e ) µ(e ) for all e N(e). Then f s a contnuous necton from N(e) nto M. Snce µ s an nectve correspondence from Ēcq nto M, thus f s a contnuous one-to-one functon on N(e). Snce Ēcq s homeomorphc to R (L+K 1)I+(L+K)J, there exsts a compact set N(e) N(e) wth nonempty nteror pont. Also, snce f s a contnuous one-to-one functon on N(e), f s a contnuous one-to-one functon from the compact space N(e) onto a Hausdorff topologcal space f( N(e)). Hence, t follows that the restrcton f N(e) s a homeomorphc mbeddng on N(e) by Theorem 5.8 n Kelley (1955, p. 141). Choose an open ball N(e) N(e). Then N(e) and f( N(e)) are homeomorphc by a homeomorphsm f N(e) : N(e) f( N(e)). Ths, together wth the fact that Ēcq s homeomorphc to ts open ball N(e), mples that Ēcq s homeomorphc to f( N(e)) M, mplyng that µ L (E L ) = F Ē cd can be homeomorphcally mbedded n µ(e L ). Hence, t follows that M F Ē cd = F R (L+K 1)I+(L+K)J. Q.E.D. 4 Informatonal Effcency of Lndahl Mechansm In the prevous secton, we found that the lower bound of the Fréchet nformatonal sze of message spaces for smooth allocaton mechansms that are prvacy-preservng and non-wasteful over the class E of publc goods economes that ncludes Ēcq s the (L + K 1)I + (L + K)J-dmensonal Eucldean space R (L+K 1)I+(L+K)J. In ths secton we assert that the lower bound s exactly the sze of the message space of the Lndahl mechansm, and thus the Lndahl mechansm s nformatonally effcent among all smooth resource allocaton mechansms that are nformatonally decentralzed and non-wasteful over the set E L of producton economes on whch L(e) for all e E L. From Remark 2, we know that the upper bound dmenson of the message space of the Lndahl mechansm s also (L + K 1)I + (L + K)J. As a result, f we can show that ths 15

17 upper bound can be reached on the restrcton of the message space of the Lndahl mechansm to the test famly Ēcq of Cobb-Douglas Quadratc economes,.e., f we can show that µ L Ē cq s homeomorphc to the (L + K 1)I + (L + K)J-dmensonal Eucldean space R (L+K 1)I+(L+K)J, then we know that the Fréchet nformatonal sze of the message space of the Lndahl mechansm s R (L+K 1)I+(L+K)J and thus the Lndahl mechansm s nformatonally effcent among all resource allocaton mechansms that are nformatonally decentralzed and non-wasteful over the class of economes n whch Lndahl equlbra exst. Hence, to show the nformatonal effcency of the Lndahl mechansm, t suffces for us to show that ths upper bound can be actually reached on the test famly of economes for the Lndahl mechansm. We wll frst state the followng lemmas that shows that the Lndahl mechansm s snglevalued and contnuous so that t s locally threaded on the test famly set Ēcq of Cobb-Douglas Quadratc economes. Lemma 2 For any gven prvate ownershp structure matrx θ, every economy n Ēcq has a unque θ-lndahl equlbrum,.e., L θ (e) s a sngle-valued mappng from Ēcq to Z. Proof. To show the exstence and unqueness of θ-lndahl equlbrum, we want to frst derve the supply and demand functons of agents. Produce ( = I + 1,..., N) chooses hs producton plan so as to maxmze proft wthn Y(b, d ). Thus, he solves the followng proft maxmzng problem: max[p y ρ + ˆq yσ ] subect to b 1 y ρ1 + L l=2 [y ρl + bl 2 (yρl )2 ] + K [y σk k=1 + dk 2 (yσk ) 2 ] = 0, (36) and 0 y ρl 0 y σk 1 b l 1 d k for all l = 2,..., L, for all k = 1,..., K. An nteror soluton y must satsfy the followng frst-order condtons: p 1 = λ b 1 (37) p l = λ (1 + b l y l ), l = 2,..., L, (38) where λ s a Lagrange multpler. From (37) and (38), and the restrctons 0 y ρl l = 2,..., L and 0 y σk 1 for k = 1,..., K, we can obtan the supply functons d k y ρl (p, q) = 1 b l b 1 pl 1 b l p1 b l f pl p 1 f 1 b 1 0 f pl p b 1 < pl p 1 1 b 1 < 2 b 1 1 b l for

18 for l = 2,..., L, y σk (p, q) = 1 d k b 1 qk 1 d k p1 d k f qk p 1 f 1 b 1 0 f qk p 1 for k = 1,..., K and = 1,..., I, and thus, by (36), 2 b 1 < qk p 1 1 b 1 < 2 b 1 y ρ1 (p, q) = 1 b 1 L l=2 [y ρl (p, q) + bl 2 (yρl (p, q))2 ] 1 b 1 K [y σk k=1 (p, q) + dk 2 (yσk (p, q)) 2 ]. (39) It may be remarked that 3(L + K 1)/2 y 1 l = 2,..., L, f 1 < pl < 2, then y ρl b 1 p 1 b 1 (p, q) = b1 pl 1 b l p1 b l by notng that b l y ρl (p, q) + bl 2 (yρl (p, q))2 = = > 1 and b1 pl p 1 < 2. If b l 2 (y ρl (p, q))2 = < 3/2. If pl b l 2b l p 1 2,..., L, 0 y ρl (p, q) + bl 2 (y ρl 0 y σk [ 1 + bl [ 1 + bl 2 = 1 2b l = 1 2b l 1 b 1 p l p 1 2 b 1 (p, q) 0 for all (p, q) RL+K ++. Indeed, for 2 yρl < 1 b l ] (p, q) ( b 1 p l whch means b1 pl p 1 y ρl (p, q) )] [ b 1 p l < 2, and thus b l 1 p1 b l b l 1 p1 b l ) ( (1 + b1 pl b 1 p l ) p 1 p 1 1 [ (b 1 p l ) 2 1] < 3/2 (40) p 1, then y ρl (p, q) = 1 b l ] and thus y ρl (p, q) +, then y ρl (p, q) = 0 by (39). Thus, for each l = (p, q))2 < 3/2 for all (p, q) R++ L+K. Smlarly, we can show. Therefore by (39), we have (p, q) < 3/2 for k = 1,..., K and for all (p, q) R L+K ++ (p, q) 0 for all (p, q) R L+K 3(L + K 1)/2 < y ρ1 ++. Consumer (for = 1,..., I) chooses hs consumpton so as to maxmze hs utlty subect to hs budget constrant. Snce all utlty functons are Cobb-Douglas, the net demand functons for prvate goods are gven by x ρ1 (p, q) = and x ρl a (p, q) = 1 p 1 (1 + L l=2 al + L k=1 ck ) l p l (1 + L l=2 al + L k=1 ck ) p w + p w + N =I+1 N =I+1 θ [p y ρ (p, q) + ˆq yσ (p, q)] w 1, (41) θ [p y ρ (p, q) + ˆq yσ (p, q)] w l (42) for l = 2,..., L. The demand functons for publc goods are gven by x σk c k N (p, q) = q k(1 + L l=2 al + p L k=1 ck ) w + θ [p y ρ (p, q) + ˆq yσ (p, q)]. (43) =I+1 17

19 Defne the aggregate net excess demand functon for prvate goods by ẑ ρ (p, q) = I =1 x ρ (p, q) N =I+1 y ρ (p, q). (44) Defne the -the consumer s excess demand functon for publc goods by for = 1,..., I. ẑ σ (p, q) = x σ (p, q) N =I+1 y σ (p, q) (45) To show the exstence and unqueness of Lndahl equlbrum, we defne a transformed economy e wth only prvate commodtes such that there s one-to-one correspondence between the transformed prvate goods economy e and the orgnal publc goods economy e. Ths approach s standard and has been adopted by Foley (1970) and Mlleron (1972) to show the exstence of Lndahl equlbrum. Extend the commodty space by consderng each consumer s bundle of publc goods as a separate group of commodtes. In ths KI + L space, extend the sets X by wrtng zeros for all publc good components not correspondng to the -th consumer. The transformed producton sets are defned by Y (b, d ) = {(y ρ, yσ 1 ),..., (yρ, yσ I ) : yσ 1 =... = y σ I = yσ & (y ρ, yσ ) Y(b, d )} for = I + 1,..., I + J. Notce that, snce every consumer s budget constrant holds wth equalty, and the demand and supply functons are clearly contnuous, the aggregate excess demand functon ẑ(p, q) = (ẑ ρ, ẑ σ 1,..., ẑσ I ) s contnuous and satsfes Walras s Law,.e., p ẑρ (p, q) + q ẑ σ (p, q) = 0 for all p R L ++. Thus, by the exstence theorem on Walrasan equlbrum (cf. Varan (1992)), there exsts some (p, q) R L ++ such that ẑ(p, q) 0, whch means (p, q, ẑ(p, q)) s a θ-walrasan equlbrum for the transformed economy e and hence (p, q, ẑ(p, q)) s a θ-lndahl equlbrum for the orgnal publc goods economy e Ēcq. 4 Now we show that every economy e Ēcq has a unque θ-lndahl equlbrum, or, t s equvalent to show that the correspondng transformed economy e has a unque θ-walrasan equlbrum. For ths, t suffces to show that all goods for the economy e are gross substtutes at any prce (p, q) R L+IK ++,.e., an ncrease n prce, s, brngs about an ncrease n the excess demand for good t. When ẑ s dfferentable, the gross substtutes condton becomes ẑt (p,q) p > 0 s for t s. 4 Another way to show the exstence of a θ-lndahl equlbrum s to apply the exstence theorem of Mlleron (1972) drectly by notng that Y s closed and convex, 0 Y, ( R L +) Y and Y ( Y ) {0}. 18

20 For each = I + 1,..., N, from (39), f 1 b 1 < pl p 1 < 2 b 1, we have y ρl (p, q) p l = b1 b l > 0 l = 2,..., L, (46) p1 y ρl (p, q) p s = 0 s l, l 1, (47) y ρl (p, q) p 1 = b1 pl b l < 0 l = 2,..., L, (48) (p1 ) 2 y ρl (p, q) q k = 0 = 1,..., I, k = 1,..., K, l = 2,..., L. (49) From (39), f 1 b 1 < ql p 1 < 2 b 1, we have y σk (p, q) q k y σk (p, q) q t = b1 d k > 0 = 1,..., I, k = 1,..., K, (50) p1 = 0 t k, k = 1,..., K, = 1,..., I, (51) y σk (p, q) p 1 = b1 qk d k < 0 k = 1,..., K, = 1,..., I, (52) (p1 ) 2 y σk (p, q) p s = 0 s = 1,..., L, k = 1,..., K. (53) As a result, from (39), (48), and (52), we have When pl p 1 y ρ1 (p, q) p 1 = 1 b 1 L [1 + b l y ρl ] yρl p 1 1 b 1 l=2 K [1 + d k y σk k=1 ] yσk > 0, (54) p1 y ρ1 (p, q) p l = 1 b 1 [1 + b l y ρl ] yρl p l < 0, l = 2,..., L, (55) y ρ1 (p, q) q k 1 b 1 (resp. = 1 b 1 q k p 1 [1 + d k y σk 1 ) or pl b 1 p 1 ] yσk q k 2 b 1 < 0 k = 1,..., K, = 1,..., I. (56) (resp. q k p 1 2 b 1 ), y ρl (p, q) (resp. yσk (p, q)) are constant functons for l = 2,..., L (resp. for k = 1,..., K and = 1,..., I). Thus, y ρl (p, q) s a nonncreasng functon n p s and q t for any l s, t = 1,..., K, and any (p, q) RL+IK ++, and y σk (p, q) s a nonncreasng functon n q t and p l for any k t, l = 1,..., L, and any (p, q) R L+IK ++. Note that, by Hotellng s Lemma (cf. Varan (1992, p. 43), [p yρ (p,q)+ˆq yσ (p,q)] p s and [p yρ (p,q)+ˆq yσ (p,q)] q t = y σt (p, q). Also, note that yρl 0 for l = 2,..., L, y σk = y ρs (p, q), 0 for k = 1,..., K, and 3(L + K 1)/2 < y ρ1 0 for all = 1,..., I. Then, for each = 1,..., I, from (41), we have x ρl (p, q) p s = a l p l (1 + L l=2 al + L k=1 ck ) 19 w s + N =I+1 θ y ρs (p, q) > 0 (57)

21 for l s, s 1 by notng that y ρs (p, q) 0 for all s = 2,..., L, x ρl (p, q) q t = a l p l (1 + L l=2 al + L k=1 ck ) w s + N =I+1 θ y σt (p, q) > 0 (58) for t = 1,..., K, = 1,..., I by notng that y σk (p, q) 0 for all k = 1,..., K, and x ρl (p, q) p 1 = > a 1 p l (1 + L l=2 al + L k=1 ck ) a l p l (1 + L l=2 al + L k=1 ck ) w 1 + w 1 + N =I+1 N =I+1 θ y ρ1 (p, q) θ ( 3(L + K 1)/2) > a l p l (1 + L l=2 al + [2(L + K 1)J 3(L + K 1)J/2] > 0 (59) L k=1 ck ) for l 1. Smlarly, we can show that xσk and xσk (p,q) q t v (p,q) > 0 for all v = 1,..., I, t k, and k = 1,..., K, p > 0 for all s = 1,..., L and k = 1,..., K. Thus, the net demand functon x s s (p, q) s an ncreasng functon and the supply functon y s (p, q) s nonncreasng functon n prce t s and for every (p, q) R L+IK ++. Therefore, an ncrease n prce, t, brngs about an ncrease n the excess demand for good s, and thus all goods are gross substtutes. Hence, the θ-walrasan equlbrum must be unque for the transformed economy e (cf. Varan (1992)), and consequently θ-lndahl equlbrum s unque for the orgnal economy e. Q.E.D. Lemma 3 Let µ cq be the Lndahl equlbrum message correspondence on Ēcq. The µ cq s a contnuous functon. Proof. By Lemma 2, we know µ cq = (p, x, y) s a (sngle-valued) functon. Also, from (39), (39), (39), (41), (42), and (43), we know that the demand functon x(p, q; ξ) and supply functon y(p, q; ξ) are contnuous n (p, q) and ξ := (a, b, c, d). So we only need to show the prce system (p, q) s a contnuous functon on Ēcq. Snce the demand functon x(p, q; ξ) and supply functon y(p, q; ξ) are homogenous of degree zero n (p, q), we can normalze the prce system as an element n the compact smplex set L+IK 1 = {(p, q) R L+IK + : L l=1 p + I =1 K k=1 qk = 1}. Let {e(k)} be a sequence n Ēcq and e(k) e Ēcq. Snce any economy n Ēcq s fully specfed by the parameter vector ξ, e(k) e mples ξ(k) ξ. Let µ cq = (p, q, x(p, q; ξ), y(p, q; ξ)) and µ cq (k) = (p(k), q(k), x(p(k), q(k); ξ(k)), y(p(k), q(k); ξ(k))). 20

22 Then we have, ẑ(p, q; ξ) = 0 and ẑ(p(k); ξ(k)) = 0, e.., I N x ρ (p, q; ξ) = =1 x σ (p, q; ξ) = =I+1 N =I+1 I N x ρ (p(k); ξ(k)) = =1 x σ (p(k); ξ(k)) = =I+1 N =I+1 y ρ (p, q; ξ), (60) y σ (p, q; ξ) = 1,..., I, (61) y ρ (p(k); ξ(k)), (62) y σ (p(k); ξ(k)) = 1,..., I. (63) Snce the sequence {p(k)} s contaned n the compact set L+IK 1, there exsts a convergent subsequence {p(k t ), q(k t )} whch converges to, say, ( p, q) L+IK 1 and ẑ(p(k t ), q(k t ); ξ(k t )) = 0. Snce x (p(k), q(k); ξ(k)) and y (p(k), q(k); ξ(k)) are contnuous n ξ, ẑ(p, q; ξ) s contnuous n ξ and thus we have ẑ(p(k t ), q(k t ); ξ(k t )) ẑ( p, q, ξ) as k t and ξ(k t ) ξ. However, snce every e Ēcq has the unque θ-lndahl equlbrum prce system (p, q) whch s completely determned by ẑ(p, q; ξ) = 0, so we must have p = p and q = q. Q.E.D. Lemma 4 Let µ L be the Lndahl equlbrum message correspondence on E L, where E L E so that L(e) for all e E L. Then µ L (E L ) s homeomorphc to Ēcq. Proof. Let µ cq be the restrcton of µ L to Ēcq. By Lemmas 2 and 3, we know that µ cq s a contnuous functon. We want to show that the nverse of µ cq, (µ cq ) 1 s also a functon. Let m µ cq (Ēcq ) and let e, e (µ cq ) 1 (m). Then m µ cq (e) µ cq (e ) = µ c (e) µ c (e ) = µ c (e, e ) µ c (e, e ) for all = 1,..., N by Remark 1. Let z = h cd L(Ēcq ) be the Lndahl outcome functon. Snce u s monotoncally ncreasng, we know z s Pareto effcent by the Frst Theorem of Welfare Economcs. Then, the allocaton process M L, µ cq, h cq s prvacy-preservng and non-wasteful over Ēcq wth respect to P. Then, by Lemma 1, e = e and thus (µ cq ) 1 s a functon. Therefore, µ cq s a contnuous one-to-one functon on Ēcq. Snce every e s fully characterzed by (a, b, c, d) R (L+K 1)I+(L+K)J ++, Ē cq s homeomorphc to the fnte-dmensonal Eucldean space R (L+K 1)I+(L+K)J. Thus, t must be homeomorphc to any open ball centered on any of ts ponts, and also locally compact. It follows that for any e Ēcq, we can fnd a neghborhood N(e) of e and a compact set N(e) N(e) wth a nonempty nteror pont. Snce µ cd s a contnuous one-to-one functon on N(e), µ cd s a contnuous one-to-one functon from the compact space N(e) onto an Eucldean (and hence Hausdorff topologcal) space µ cd ( N(e)). Hence, t follows that the restrcton µ cd restrcted to N(e) s a homeomorphc mbeddng on N(e) by Theorem 5.8 n Kelley (1955, p. 141). Choose an open ball N(e) N(e). Then N(e) and µ cd ( N(e)) are homeomorphc by a homeomorphsm µ cd N(e) : N(e) µcd ( N(e)). Ths, together wth the fact that Ēcq s homeomorphc to ts 21

23 open ball N(e), mples that Ēcq s homeomorphc to µ cd ( N(e)) M L, mplyng that µ cd (E L ) can be homeomorphcally mbedded n µ L (E L ). Fnally, by Remark 2, the Lndahl message space M L s contaned wthn an Eucldean space of dmenson (L + K 1)I + (L + K)J. Ths necessarly mples that M L and thus µ L (Ēcq ) s homeomorphc to R (L+K 1)I+(L+K)J because ths restrcton µ cq (Ēcq ) s homeomorphc to R (L+K 1)I+(L+K)J, and consequently, µ L (E L ) s homeomorphc to Ēcq. Q.E.D. From the above lemmas and Theorem 1, we have the followng theorem that establsh the nformatonal effcency of the Lndahl mechansm wthn the class of all smooth resource allocaton mechansms that are nformatonally decentralzed and non-wasteful over the class of producton economes E L on whch L(e) for all e E L. Theorem 2 (Informatonal Effcency Theorem) Suppose that M, µ, h s an allocaton mechansm on the class E L of publc goods economes E L such that: () t s nformatonally decentralzed; () t s non-wasteful wth respect to P; () M s a Hausdorff topologcal space; (v) µ s locally threaded at some pont e Ēcq. Then, the sze of the message space M s at least as large as that of the Lndahl mechansm, that s, M F M L = F R (L+K 1)I+(L+K)J. Proof. Let M L, µ L, h L be the Lndahl mechansm and let Ēcq be the specal class of publc goods economes defned n the prevous secton. Snce L(e) for all e E L, the Lndahl mechansm s well defned. Furthermore, snce u s locally non-satated on E by assumpton, we know (x, y) s Pareto effcent by the Frst Theorem of Welfare Economcs. Then, the Lndahl process M L, µ L, h L s prvacy-preservng and non-wasteful over E L. Also, was noted above, Ē cq s homeomorphc to R (L+K 1)I+(L+K)J. Also by Lemma 4, µ L (Ēcq ) and M L are homeomorphc to Ēcq. Thus, by Theorem 1, we have M F M L = F R (L+K 1)I+(L+K)J. Q.E.D. 5 The Unqueness Theorem In ths secton we establsh that the Lndahl allocaton process s the only nformatonally effcent decentralzed mechansm for publc goods economes among smooth mechansms that acheve Pareto optmal and ndvdually ratonal allocatons. We frst show the followng lemmas. Lemma 5 Suppose that M, µ, h s an allocaton mechansm on the class of publc goods economes E cq such that: 22

Economics 101. Lecture 4 - Equilibrium and Efficiency

Economics 101. Lecture 4 - Equilibrium and Efficiency Economcs 0 Lecture 4 - Equlbrum and Effcency Intro As dscussed n the prevous lecture, we wll now move from an envronment where we looed at consumers mang decsons n solaton to analyzng economes full of

More information

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium?

Welfare Properties of General Equilibrium. What can be said about optimality properties of resource allocation implied by general equilibrium? APPLIED WELFARE ECONOMICS AND POLICY ANALYSIS Welfare Propertes of General Equlbrum What can be sad about optmalty propertes of resource allocaton mpled by general equlbrum? Any crteron used to compare

More information

Perfect Competition and the Nash Bargaining Solution

Perfect Competition and the Nash Bargaining Solution Perfect Competton and the Nash Barganng Soluton Renhard John Department of Economcs Unversty of Bonn Adenauerallee 24-42 53113 Bonn, Germany emal: rohn@un-bonn.de May 2005 Abstract For a lnear exchange

More information

PROBLEM SET 7 GENERAL EQUILIBRIUM

PROBLEM SET 7 GENERAL EQUILIBRIUM PROBLEM SET 7 GENERAL EQUILIBRIUM Queston a Defnton: An Arrow-Debreu Compettve Equlbrum s a vector of prces {p t } and allocatons {c t, c 2 t } whch satsfes ( Gven {p t }, c t maxmzes βt ln c t subject

More information

Equilibrium with Complete Markets. Instructor: Dmytro Hryshko

Equilibrium with Complete Markets. Instructor: Dmytro Hryshko Equlbrum wth Complete Markets Instructor: Dmytro Hryshko 1 / 33 Readngs Ljungqvst and Sargent. Recursve Macroeconomc Theory. MIT Press. Chapter 8. 2 / 33 Equlbrum n pure exchange, nfnte horzon economes,

More information

The Existence and Optimality of Equilibrium

The Existence and Optimality of Equilibrium The Exstence and Optmalty of Equlbrum Larry Blume March 29, 2006 1 Introducton These notes quckly survey two approaches to the exstence. The frst approach works wth excess demand, whle the second works

More information

CS294 Topics in Algorithmic Game Theory October 11, Lecture 7

CS294 Topics in Algorithmic Game Theory October 11, Lecture 7 CS294 Topcs n Algorthmc Game Theory October 11, 2011 Lecture 7 Lecturer: Chrstos Papadmtrou Scrbe: Wald Krchene, Vjay Kamble 1 Exchange economy We consder an exchange market wth m agents and n goods. Agent

More information

Lecture Notes, January 11, 2010

Lecture Notes, January 11, 2010 Economcs 200B UCSD Wnter 2010 Lecture otes, January 11, 2010 Partal equlbrum comparatve statcs Partal equlbrum: Market for one good only wth supply and demand as a functon of prce. Prce s defned as the

More information

Journal of Mathematical Economics

Journal of Mathematical Economics Journal of Mathematcal Economcs 45 (2009) 3 23 Contents lsts avalable at ScenceDrect Journal of Mathematcal Economcs journal homepage: www.elsever.com/locate/jmateco Implementaton of Pareto effcent allocatons

More information

Mixed Taxation and Production Efficiency

Mixed Taxation and Production Efficiency Floran Scheuer 2/23/2016 Mxed Taxaton and Producton Effcency 1 Overvew 1. Unform commodty taxaton under non-lnear ncome taxaton Atknson-Stgltz (JPubE 1976) Theorem Applcaton to captal taxaton 2. Unform

More information

2.3 Nilpotent endomorphisms

2.3 Nilpotent endomorphisms s a block dagonal matrx, wth A Mat dm U (C) In fact, we can assume that B = B 1 B k, wth B an ordered bass of U, and that A = [f U ] B, where f U : U U s the restrcton of f to U 40 23 Nlpotent endomorphsms

More information

Copyright (C) 2008 David K. Levine This document is an open textbook; you can redistribute it and/or modify it under the terms of the Creative

Copyright (C) 2008 David K. Levine This document is an open textbook; you can redistribute it and/or modify it under the terms of the Creative Copyrght (C) 008 Davd K. Levne Ths document s an open textbook; you can redstrbute t and/or modfy t under the terms of the Creatve Commons Attrbuton Lcense. Compettve Equlbrum wth Pure Exchange n traders

More information

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg

princeton univ. F 17 cos 521: Advanced Algorithm Design Lecture 7: LP Duality Lecturer: Matt Weinberg prnceton unv. F 17 cos 521: Advanced Algorthm Desgn Lecture 7: LP Dualty Lecturer: Matt Wenberg Scrbe: LP Dualty s an extremely useful tool for analyzng structural propertes of lnear programs. Whle there

More information

Economics 8105 Macroeconomic Theory Recitation 1

Economics 8105 Macroeconomic Theory Recitation 1 Economcs 8105 Macroeconomc Theory Rectaton 1 Outlne: Conor Ryan September 6th, 2016 Adapted From Anh Thu (Monca) Tran Xuan s Notes Last Updated September 20th, 2016 Dynamc Economc Envronment Arrow-Debreu

More information

A NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegian Business School 2011

A NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegian Business School 2011 A NOTE ON CES FUNCTIONS Drago Bergholt, BI Norwegan Busness School 2011 Functons featurng constant elastcty of substtuton CES are wdely used n appled economcs and fnance. In ths note, I do two thngs. Frst,

More information

Norm Bounds for a Transformed Activity Level. Vector in Sraffian Systems: A Dual Exercise

Norm Bounds for a Transformed Activity Level. Vector in Sraffian Systems: A Dual Exercise ppled Mathematcal Scences, Vol. 4, 200, no. 60, 2955-296 Norm Bounds for a ransformed ctvty Level Vector n Sraffan Systems: Dual Exercse Nkolaos Rodousaks Department of Publc dmnstraton, Panteon Unversty

More information

University of California, Davis Date: June 22, 2009 Department of Agricultural and Resource Economics. PRELIMINARY EXAMINATION FOR THE Ph.D.

University of California, Davis Date: June 22, 2009 Department of Agricultural and Resource Economics. PRELIMINARY EXAMINATION FOR THE Ph.D. Unversty of Calforna, Davs Date: June 22, 29 Department of Agrcultural and Resource Economcs Department of Economcs Tme: 5 hours Mcroeconomcs Readng Tme: 2 mnutes PRELIMIARY EXAMIATIO FOR THE Ph.D. DEGREE

More information

APPENDIX A Some Linear Algebra

APPENDIX A Some Linear Algebra APPENDIX A Some Lnear Algebra The collecton of m, n matrces A.1 Matrces a 1,1,..., a 1,n A = a m,1,..., a m,n wth real elements a,j s denoted by R m,n. If n = 1 then A s called a column vector. Smlarly,

More information

MAT 578 Functional Analysis

MAT 578 Functional Analysis MAT 578 Functonal Analyss John Qugg Fall 2008 Locally convex spaces revsed September 6, 2008 Ths secton establshes the fundamental propertes of locally convex spaces. Acknowledgment: although I wrote these

More information

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract

Endogenous timing in a mixed oligopoly consisting of a single public firm and foreign competitors. Abstract Endogenous tmng n a mxed olgopoly consstng o a sngle publc rm and oregn compettors Yuanzhu Lu Chna Economcs and Management Academy, Central Unversty o Fnance and Economcs Abstract We nvestgate endogenous

More information

Module 9. Lecture 6. Duality in Assignment Problems

Module 9. Lecture 6. Duality in Assignment Problems Module 9 1 Lecture 6 Dualty n Assgnment Problems In ths lecture we attempt to answer few other mportant questons posed n earler lecture for (AP) and see how some of them can be explaned through the concept

More information

Maximizing the number of nonnegative subsets

Maximizing the number of nonnegative subsets Maxmzng the number of nonnegatve subsets Noga Alon Hao Huang December 1, 213 Abstract Gven a set of n real numbers, f the sum of elements of every subset of sze larger than k s negatve, what s the maxmum

More information

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix

Lectures - Week 4 Matrix norms, Conditioning, Vector Spaces, Linear Independence, Spanning sets and Basis, Null space and Range of a Matrix Lectures - Week 4 Matrx norms, Condtonng, Vector Spaces, Lnear Independence, Spannng sets and Bass, Null space and Range of a Matrx Matrx Norms Now we turn to assocatng a number to each matrx. We could

More information

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION

ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EQUATION Advanced Mathematcal Models & Applcatons Vol.3, No.3, 2018, pp.215-222 ON A DETERMINATION OF THE INITIAL FUNCTIONS FROM THE OBSERVED VALUES OF THE BOUNDARY FUNCTIONS FOR THE SECOND-ORDER HYPERBOLIC EUATION

More information

More metrics on cartesian products

More metrics on cartesian products More metrcs on cartesan products If (X, d ) are metrc spaces for 1 n, then n Secton II4 of the lecture notes we defned three metrcs on X whose underlyng topologes are the product topology The purpose of

More information

Assortment Optimization under MNL

Assortment Optimization under MNL Assortment Optmzaton under MNL Haotan Song Aprl 30, 2017 1 Introducton The assortment optmzaton problem ams to fnd the revenue-maxmzng assortment of products to offer when the prces of products are fxed.

More information

Online Appendix. t=1 (p t w)q t. Then the first order condition shows that

Online Appendix. t=1 (p t w)q t. Then the first order condition shows that Artcle forthcomng to ; manuscrpt no (Please, provde the manuscrpt number!) 1 Onlne Appendx Appendx E: Proofs Proof of Proposton 1 Frst we derve the equlbrum when the manufacturer does not vertcally ntegrate

More information

How Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists *

How Strong Are Weak Patents? Joseph Farrell and Carl Shapiro. Supplementary Material Licensing Probabilistic Patents to Cournot Oligopolists * How Strong Are Weak Patents? Joseph Farrell and Carl Shapro Supplementary Materal Lcensng Probablstc Patents to Cournot Olgopolsts * September 007 We study here the specal case n whch downstream competton

More information

GENERAL EQUILIBRIUM IN INFINITE SECURITY MARKETS

GENERAL EQUILIBRIUM IN INFINITE SECURITY MARKETS GENERAL EQUILIBRIUM IN INFINITE SECURITY MARKETS C. D. ALIPRANTIS 1, M. FLORENZANO 2, V. F. MARTINS DA ROCHA 3 AND R. TOURKY 4 1 Department of Economcs, Krannert School of Management, Purdue Unversty,

More information

SL n (F ) Equals its Own Derived Group

SL n (F ) Equals its Own Derived Group Internatonal Journal of Algebra, Vol. 2, 2008, no. 12, 585-594 SL n (F ) Equals ts Own Derved Group Jorge Macel BMCC-The Cty Unversty of New York, CUNY 199 Chambers street, New York, NY 10007, USA macel@cms.nyu.edu

More information

a b a In case b 0, a being divisible by b is the same as to say that

a b a In case b 0, a being divisible by b is the same as to say that Secton 6.2 Dvsblty among the ntegers An nteger a ε s dvsble by b ε f there s an nteger c ε such that a = bc. Note that s dvsble by any nteger b, snce = b. On the other hand, a s dvsble by only f a = :

More information

COS 521: Advanced Algorithms Game Theory and Linear Programming

COS 521: Advanced Algorithms Game Theory and Linear Programming COS 521: Advanced Algorthms Game Theory and Lnear Programmng Moses Charkar February 27, 2013 In these notes, we ntroduce some basc concepts n game theory and lnear programmng (LP). We show a connecton

More information

Difference Equations

Difference Equations Dfference Equatons c Jan Vrbk 1 Bascs Suppose a sequence of numbers, say a 0,a 1,a,a 3,... s defned by a certan general relatonshp between, say, three consecutve values of the sequence, e.g. a + +3a +1

More information

MMA and GCMMA two methods for nonlinear optimization

MMA and GCMMA two methods for nonlinear optimization MMA and GCMMA two methods for nonlnear optmzaton Krster Svanberg Optmzaton and Systems Theory, KTH, Stockholm, Sweden. krlle@math.kth.se Ths note descrbes the algorthms used n the author s 2007 mplementatons

More information

k t+1 + c t A t k t, t=0

k t+1 + c t A t k t, t=0 Macro II (UC3M, MA/PhD Econ) Professor: Matthas Kredler Fnal Exam 6 May 208 You have 50 mnutes to complete the exam There are 80 ponts n total The exam has 4 pages If somethng n the queston s unclear,

More information

Economics 2450A: Public Economics Section 10: Education Policies and Simpler Theory of Capital Taxation

Economics 2450A: Public Economics Section 10: Education Policies and Simpler Theory of Capital Taxation Economcs 2450A: Publc Economcs Secton 10: Educaton Polces and Smpler Theory of Captal Taxaton Matteo Parads November 14, 2016 In ths secton we study educaton polces n a smplfed verson of framework analyzed

More information

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X

3.1 Expectation of Functions of Several Random Variables. )' be a k-dimensional discrete or continuous random vector, with joint PMF p (, E X E X1 E X Statstcs 1: Probablty Theory II 37 3 EPECTATION OF SEVERAL RANDOM VARIABLES As n Probablty Theory I, the nterest n most stuatons les not on the actual dstrbuton of a random vector, but rather on a number

More information

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper

Games of Threats. Elon Kohlberg Abraham Neyman. Working Paper Games of Threats Elon Kohlberg Abraham Neyman Workng Paper 18-023 Games of Threats Elon Kohlberg Harvard Busness School Abraham Neyman The Hebrew Unversty of Jerusalem Workng Paper 18-023 Copyrght 2017

More information

Affine transformations and convexity

Affine transformations and convexity Affne transformatons and convexty The purpose of ths document s to prove some basc propertes of affne transformatons nvolvng convex sets. Here are a few onlne references for background nformaton: http://math.ucr.edu/

More information

The Order Relation and Trace Inequalities for. Hermitian Operators

The Order Relation and Trace Inequalities for. Hermitian Operators Internatonal Mathematcal Forum, Vol 3, 08, no, 507-57 HIKARI Ltd, wwwm-hkarcom https://doorg/0988/mf088055 The Order Relaton and Trace Inequaltes for Hermtan Operators Y Huang School of Informaton Scence

More information

Externalities in wireless communication: A public goods solution approach to power allocation. by Shrutivandana Sharma

Externalities in wireless communication: A public goods solution approach to power allocation. by Shrutivandana Sharma Externaltes n wreless communcaton: A publc goods soluton approach to power allocaton by Shrutvandana Sharma SI 786 Tuesday, Feb 2, 2006 Outlne Externaltes: Introducton Plannng wth externaltes Power allocaton:

More information

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS

BOUNDEDNESS OF THE RIESZ TRANSFORM WITH MATRIX A 2 WEIGHTS BOUNDEDNESS OF THE IESZ TANSFOM WITH MATIX A WEIGHTS Introducton Let L = L ( n, be the functon space wth norm (ˆ f L = f(x C dx d < For a d d matrx valued functon W : wth W (x postve sem-defnte for all

More information

Abstract Single Crossing and the Value Dimension

Abstract Single Crossing and the Value Dimension Abstract Sngle Crossng and the Value Dmenson Davd Rahman September 24, 2007 Abstract When auctonng an ndvsble good wthout consumpton externaltes, abstract sngle crossng s necessary and suffcent to mplement

More information

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal

Inner Product. Euclidean Space. Orthonormal Basis. Orthogonal Inner Product Defnton 1 () A Eucldean space s a fnte-dmensonal vector space over the reals R, wth an nner product,. Defnton 2 (Inner Product) An nner product, on a real vector space X s a symmetrc, blnear,

More information

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U)

ANSWERS. Problem 1. and the moment generating function (mgf) by. defined for any real t. Use this to show that E( U) var( U) Econ 413 Exam 13 H ANSWERS Settet er nndelt 9 deloppgaver, A,B,C, som alle anbefales å telle lkt for å gøre det ltt lettere å stå. Svar er gtt . Unfortunately, there s a prntng error n the hnt of

More information

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0

n α j x j = 0 j=1 has a nontrivial solution. Here A is the n k matrix whose jth column is the vector for all t j=0 MODULE 2 Topcs: Lnear ndependence, bass and dmenson We have seen that f n a set of vectors one vector s a lnear combnaton of the remanng vectors n the set then the span of the set s unchanged f that vector

More information

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space.

Linear, affine, and convex sets and hulls In the sequel, unless otherwise specified, X will denote a real vector space. Lnear, affne, and convex sets and hulls In the sequel, unless otherwse specfed, X wll denote a real vector space. Lnes and segments. Gven two ponts x, y X, we defne xy = {x + t(y x) : t R} = {(1 t)x +

More information

Pricing and Resource Allocation Game Theoretic Models

Pricing and Resource Allocation Game Theoretic Models Prcng and Resource Allocaton Game Theoretc Models Zhy Huang Changbn Lu Q Zhang Computer and Informaton Scence December 8, 2009 Z. Huang, C. Lu, and Q. Zhang (CIS) Game Theoretc Models December 8, 2009

More information

ON THE EQUIVALENCE OF ORDINAL BAYESIAN INCENTIVE COMPATIBILITY AND DOMINANT STRATEGY INCENTIVE COMPATIBILITY FOR RANDOM RULES

ON THE EQUIVALENCE OF ORDINAL BAYESIAN INCENTIVE COMPATIBILITY AND DOMINANT STRATEGY INCENTIVE COMPATIBILITY FOR RANDOM RULES ON THE EQUIVALENCE OF ORDINAL BAYESIAN INCENTIVE COMPATIBILITY AND DOMINANT STRATEGY INCENTIVE COMPATIBILITY FOR RANDOM RULES Madhuparna Karmokar 1 and Souvk Roy 1 1 Economc Research Unt, Indan Statstcal

More information

Market structure and Innovation

Market structure and Innovation Market structure and Innovaton Ths presentaton s based on the paper Market structure and Innovaton authored by Glenn C. Loury, publshed n The Quarterly Journal of Economcs, Vol. 93, No.3 ( Aug 1979) I.

More information

DIFFERENTIAL FORMS BRIAN OSSERMAN

DIFFERENTIAL FORMS BRIAN OSSERMAN DIFFERENTIAL FORMS BRIAN OSSERMAN Dfferentals are an mportant topc n algebrac geometry, allowng the use of some classcal geometrc arguments n the context of varetes over any feld. We wll use them to defne

More information

REAL ANALYSIS I HOMEWORK 1

REAL ANALYSIS I HOMEWORK 1 REAL ANALYSIS I HOMEWORK CİHAN BAHRAN The questons are from Tao s text. Exercse 0.0.. If (x α ) α A s a collecton of numbers x α [0, + ] such that x α

More information

Edge Isoperimetric Inequalities

Edge Isoperimetric Inequalities November 7, 2005 Ross M. Rchardson Edge Isopermetrc Inequaltes 1 Four Questons Recall that n the last lecture we looked at the problem of sopermetrc nequaltes n the hypercube, Q n. Our noton of boundary

More information

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS

8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS SECTION 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS 493 8.4 COMPLEX VECTOR SPACES AND INNER PRODUCTS All the vector spaces you have studed thus far n the text are real vector spaces because the scalars

More information

Hila Etzion. Min-Seok Pang

Hila Etzion. Min-Seok Pang RESERCH RTICLE COPLEENTRY ONLINE SERVICES IN COPETITIVE RKETS: INTINING PROFITILITY IN THE PRESENCE OF NETWORK EFFECTS Hla Etzon Department of Technology and Operatons, Stephen. Ross School of usness,

More information

Axiomatizations of Pareto Equilibria in Multicriteria Games

Axiomatizations of Pareto Equilibria in Multicriteria Games ames and Economc Behavor 28, 146154 1999. Artcle ID game.1998.0680, avalable onlne at http:www.dealbrary.com on Axomatzatons of Pareto Equlbra n Multcrtera ames Mark Voorneveld,* Dres Vermeulen, and Peter

More information

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction

The Multiple Classical Linear Regression Model (CLRM): Specification and Assumptions. 1. Introduction ECONOMICS 5* -- NOTE (Summary) ECON 5* -- NOTE The Multple Classcal Lnear Regresson Model (CLRM): Specfcaton and Assumptons. Introducton CLRM stands for the Classcal Lnear Regresson Model. The CLRM s also

More information

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN

FINITELY-GENERATED MODULES OVER A PRINCIPAL IDEAL DOMAIN FINITELY-GENERTED MODULES OVER PRINCIPL IDEL DOMIN EMMNUEL KOWLSKI Throughout ths note, s a prncpal deal doman. We recall the classfcaton theorem: Theorem 1. Let M be a fntely-generated -module. (1) There

More information

Supplement: Proofs and Technical Details for The Solution Path of the Generalized Lasso

Supplement: Proofs and Technical Details for The Solution Path of the Generalized Lasso Supplement: Proofs and Techncal Detals for The Soluton Path of the Generalzed Lasso Ryan J. Tbshran Jonathan Taylor In ths document we gve supplementary detals to the paper The Soluton Path of the Generalzed

More information

CHAPTER III Neural Networks as Associative Memory

CHAPTER III Neural Networks as Associative Memory CHAPTER III Neural Networs as Assocatve Memory Introducton One of the prmary functons of the bran s assocatve memory. We assocate the faces wth names, letters wth sounds, or we can recognze the people

More information

Supporting Materials for: Two Monetary Models with Alternating Markets

Supporting Materials for: Two Monetary Models with Alternating Markets Supportng Materals for: Two Monetary Models wth Alternatng Markets Gabrele Camera Chapman Unversty Unversty of Basel YL Chen Federal Reserve Bank of St. Lous 1 Optmal choces n the CIA model On date t,

More information

Online Appendix: Reciprocity with Many Goods

Online Appendix: Reciprocity with Many Goods T D T A : O A Kyle Bagwell Stanford Unversty and NBER Robert W. Stager Dartmouth College and NBER March 2016 Abstract Ths onlne Appendx extends to a many-good settng the man features of recprocty emphaszed

More information

Supporting Information for: Two Monetary Models with Alternating Markets

Supporting Information for: Two Monetary Models with Alternating Markets Supportng Informaton for: Two Monetary Models wth Alternatng Markets Gabrele Camera Chapman Unversty & Unversty of Basel YL Chen St. Lous Fed November 2015 1 Optmal choces n the CIA model On date t, gven

More information

First day August 1, Problems and Solutions

First day August 1, Problems and Solutions FOURTH INTERNATIONAL COMPETITION FOR UNIVERSITY STUDENTS IN MATHEMATICS July 30 August 4, 997, Plovdv, BULGARIA Frst day August, 997 Problems and Solutons Problem. Let {ε n } n= be a sequence of postve

More information

Lecture 10 Support Vector Machines II

Lecture 10 Support Vector Machines II Lecture 10 Support Vector Machnes II 22 February 2016 Taylor B. Arnold Yale Statstcs STAT 365/665 1/28 Notes: Problem 3 s posted and due ths upcomng Frday There was an early bug n the fake-test data; fxed

More information

FREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced,

FREQUENCY DISTRIBUTIONS Page 1 of The idea of a frequency distribution for sets of observations will be introduced, FREQUENCY DISTRIBUTIONS Page 1 of 6 I. Introducton 1. The dea of a frequency dstrbuton for sets of observatons wll be ntroduced, together wth some of the mechancs for constructng dstrbutons of data. Then

More information

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem.

Lecture 20: Lift and Project, SDP Duality. Today we will study the Lift and Project method. Then we will prove the SDP duality theorem. prnceton u. sp 02 cos 598B: algorthms and complexty Lecture 20: Lft and Project, SDP Dualty Lecturer: Sanjeev Arora Scrbe:Yury Makarychev Today we wll study the Lft and Project method. Then we wll prove

More information

Volume 29, Issue 4. Incomplete third-degree price discrimination, and market partition problem. Yann Braouezec ESILV

Volume 29, Issue 4. Incomplete third-degree price discrimination, and market partition problem. Yann Braouezec ESILV Volume 29, Issue 4 Incomplete thrd-degree prce dscrmnaton, and market partton problem Yann Braouezec ESILV Abstract We ntroduce n ths paper the "ncomplete" thrd-degree prce dscrmnaton, whch s the stuaton

More information

6) Derivatives, gradients and Hessian matrices

6) Derivatives, gradients and Hessian matrices 30C00300 Mathematcal Methods for Economsts (6 cr) 6) Dervatves, gradents and Hessan matrces Smon & Blume chapters: 14, 15 Sldes by: Tmo Kuosmanen 1 Outlne Defnton of dervatve functon Dervatve notatons

More information

(1 ) (1 ) 0 (1 ) (1 ) 0

(1 ) (1 ) 0 (1 ) (1 ) 0 Appendx A Appendx A contans proofs for resubmsson "Contractng Informaton Securty n the Presence of Double oral Hazard" Proof of Lemma 1: Assume that, to the contrary, BS efforts are achevable under a blateral

More information

Convexity preserving interpolation by splines of arbitrary degree

Convexity preserving interpolation by splines of arbitrary degree Computer Scence Journal of Moldova, vol.18, no.1(52), 2010 Convexty preservng nterpolaton by splnes of arbtrary degree Igor Verlan Abstract In the present paper an algorthm of C 2 nterpolaton of dscrete

More information

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS

MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS MATH 241B FUNCTIONAL ANALYSIS - NOTES EXAMPLES OF C ALGEBRAS These are nformal notes whch cover some of the materal whch s not n the course book. The man purpose s to gve a number of nontrval examples

More information

,, MRTS is the marginal rate of technical substitution

,, MRTS is the marginal rate of technical substitution Mscellaneous Notes on roducton Economcs ompled by eter F Orazem September 9, 00 I Implcatons of conve soquants Two nput case, along an soquant 0 along an soquant Slope of the soquant,, MRTS s the margnal

More information

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India February 2008

Game Theory. Lecture Notes By Y. Narahari. Department of Computer Science and Automation Indian Institute of Science Bangalore, India February 2008 Game Theory Lecture Notes By Y. Narahar Department of Computer Scence and Automaton Indan Insttute of Scence Bangalore, Inda February 2008 Chapter 10: Two Person Zero Sum Games Note: Ths s a only a draft

More information

Structure and Drive Paul A. Jensen Copyright July 20, 2003

Structure and Drive Paul A. Jensen Copyright July 20, 2003 Structure and Drve Paul A. Jensen Copyrght July 20, 2003 A system s made up of several operatons wth flow passng between them. The structure of the system descrbes the flow paths from nputs to outputs.

More information

Conjectures in Cournot Duopoly under Cost Uncertainty

Conjectures in Cournot Duopoly under Cost Uncertainty Conjectures n Cournot Duopoly under Cost Uncertanty Suyeol Ryu and Iltae Km * Ths paper presents a Cournot duopoly model based on a condton when frms are facng cost uncertanty under rsk neutralty and rsk

More information

( ) 2 ( ) ( ) Problem Set 4 Suggested Solutions. Problem 1

( ) 2 ( ) ( ) Problem Set 4 Suggested Solutions. Problem 1 Problem Set 4 Suggested Solutons Problem (A) The market demand functon s the soluton to the followng utlty-maxmzaton roblem (UMP): The Lagrangean: ( x, x, x ) = + max U x, x, x x x x st.. x + x + x y x,

More information

Tit-For-Tat Equilibria in Discounted Repeated Games with. Private Monitoring

Tit-For-Tat Equilibria in Discounted Repeated Games with. Private Monitoring 1 Tt-For-Tat Equlbra n Dscounted Repeated Games wth Prvate Montorng Htosh Matsushma 1 Department of Economcs, Unversty of Tokyo 2 Aprl 24, 2007 Abstract We nvestgate nfntely repeated games wth mperfect

More information

Unit 5: Government policy in competitive markets I E ciency

Unit 5: Government policy in competitive markets I E ciency Unt 5: Government polcy n compettve markets I E cency Prof. Antono Rangel January 2, 2016 1 Pareto optmal allocatons 1.1 Prelmnares Bg pcture Consumers: 1,...,C,eachw/U,W Frms: 1,...,F,eachw/C ( ) Consumers

More information

e - c o m p a n i o n

e - c o m p a n i o n OPERATIONS RESEARCH http://dxdoorg/0287/opre007ec e - c o m p a n o n ONLY AVAILABLE IN ELECTRONIC FORM 202 INFORMS Electronc Companon Generalzed Quantty Competton for Multple Products and Loss of Effcency

More information

CS286r Assign One. Answer Key

CS286r Assign One. Answer Key CS286r Assgn One Answer Key 1 Game theory 1.1 1.1.1 Let off-equlbrum strateges also be that people contnue to play n Nash equlbrum. Devatng from any Nash equlbrum s a weakly domnated strategy. That s,

More information

Affine and Riemannian Connections

Affine and Riemannian Connections Affne and Remannan Connectons Semnar Remannan Geometry Summer Term 2015 Prof Dr Anna Wenhard and Dr Gye-Seon Lee Jakob Ullmann Notaton: X(M) space of smooth vector felds on M D(M) space of smooth functons

More information

Global identification from the equilibrium manifold under incomplete markets. (Draft for comments)

Global identification from the equilibrium manifold under incomplete markets. (Draft for comments) Global dentfcaton from the equlbrum manfold under ncomplete markets. (Draft for comments) Andrés Carvajal BancodelaRepúblca. acarvaes@banrep.gov.co Alvaro Rascos BancodelaRepúblca. arascv@banrep.gov.co

More information

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence

Remarks on the Properties of a Quasi-Fibonacci-like Polynomial Sequence Remarks on the Propertes of a Quas-Fbonacc-lke Polynomal Sequence Brce Merwne LIU Brooklyn Ilan Wenschelbaum Wesleyan Unversty Abstract Consder the Quas-Fbonacc-lke Polynomal Sequence gven by F 0 = 1,

More information

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur

Module 3 LOSSY IMAGE COMPRESSION SYSTEMS. Version 2 ECE IIT, Kharagpur Module 3 LOSSY IMAGE COMPRESSION SYSTEMS Verson ECE IIT, Kharagpur Lesson 6 Theory of Quantzaton Verson ECE IIT, Kharagpur Instructonal Objectves At the end of ths lesson, the students should be able to:

More information

Uniqueness of Nash Equilibrium in Private Provision of Public Goods: Extension. Nobuo Akai *

Uniqueness of Nash Equilibrium in Private Provision of Public Goods: Extension. Nobuo Akai * Unqueness of Nash Equlbrum n Prvate Provson of Publc Goods: Extenson Nobuo Aka * nsttute of Economc Research Kobe Unversty of Commerce Abstract Ths note proves unqueness of Nash equlbrum n prvate provson

More information

The Second Anti-Mathima on Game Theory

The Second Anti-Mathima on Game Theory The Second Ant-Mathma on Game Theory Ath. Kehagas December 1 2006 1 Introducton In ths note we wll examne the noton of game equlbrum for three types of games 1. 2-player 2-acton zero-sum games 2. 2-player

More information

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011

Stanford University CS359G: Graph Partitioning and Expanders Handout 4 Luca Trevisan January 13, 2011 Stanford Unversty CS359G: Graph Parttonng and Expanders Handout 4 Luca Trevsan January 3, 0 Lecture 4 In whch we prove the dffcult drecton of Cheeger s nequalty. As n the past lectures, consder an undrected

More information

Simultaneous Optimization of Berth Allocation, Quay Crane Assignment and Quay Crane Scheduling Problems in Container Terminals

Simultaneous Optimization of Berth Allocation, Quay Crane Assignment and Quay Crane Scheduling Problems in Container Terminals Smultaneous Optmzaton of Berth Allocaton, Quay Crane Assgnment and Quay Crane Schedulng Problems n Contaner Termnals Necat Aras, Yavuz Türkoğulları, Z. Caner Taşkın, Kuban Altınel Abstract In ths work,

More information

ECE559VV Project Report

ECE559VV Project Report ECE559VV Project Report (Supplementary Notes Loc Xuan Bu I. MAX SUM-RATE SCHEDULING: THE UPLINK CASE We have seen (n the presentaton that, for downlnk (broadcast channels, the strategy maxmzng the sum-rate

More information

Implementation and Detection

Implementation and Detection 1 December 18 2014 Implementaton and Detecton Htosh Matsushma Department of Economcs Unversty of Tokyo 2 Ths paper consders mplementaton of scf: Mechansm Desgn wth Unqueness CP attempts to mplement scf

More information

Winter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan

Winter 2008 CS567 Stochastic Linear/Integer Programming Guest Lecturer: Xu, Huan Wnter 2008 CS567 Stochastc Lnear/Integer Programmng Guest Lecturer: Xu, Huan Class 2: More Modelng Examples 1 Capacty Expanson Capacty expanson models optmal choces of the tmng and levels of nvestments

More information

Problem Set 9 Solutions

Problem Set 9 Solutions Desgn and Analyss of Algorthms May 4, 2015 Massachusetts Insttute of Technology 6.046J/18.410J Profs. Erk Demane, Srn Devadas, and Nancy Lynch Problem Set 9 Solutons Problem Set 9 Solutons Ths problem

More information

42. Mon, Dec. 8 Last time, we were discussing CW complexes, and we considered two di erent CW structures on S n. We continue with more examples.

42. Mon, Dec. 8 Last time, we were discussing CW complexes, and we considered two di erent CW structures on S n. We continue with more examples. 42. Mon, Dec. 8 Last tme, we were dscussng CW complexes, and we consdered two d erent CW structures on S n. We contnue wth more examples. (2) RP n. Let s start wth RP 2. Recall that one model for ths space

More information

Fundamental impossibility theorems on voluntary participation in the provision of non-excludable public goods

Fundamental impossibility theorems on voluntary participation in the provision of non-excludable public goods Rev. Econ. Desgn 00 4:5 73 DOI 0.007/s0058-009-000-0 ORIGINAL PAPER Fundamental mpossblty theorems on voluntary partcpaton n the provson of non-excludable publc goods Tatsuyosh Sajo Takehko Yamato Receved:

More information

Equilibrium with Mutual Organizations. in Adverse Selection Economies

Equilibrium with Mutual Organizations. in Adverse Selection Economies Equlbrum wth Mutual Organzatons n Adverse Selecton Economes Adam Blandn Arzona State Unversty John H. Boyd Unversty of Mnnesota Edward C. Prescott Arzona State Unversty and Federal Reserve Bank of Mnneapols

More information

Ex post implementation in environments with private goods

Ex post implementation in environments with private goods Theoretcal Economcs 1 (2006), 369 393 1555-7561/20060369 Ex post mplementaton n envronments wth prvate goods SUSHIL BIKHCHANDANI Anderson School of Management, Unversty of Calforna, Los Angeles We prove

More information

On the Multicriteria Integer Network Flow Problem

On the Multicriteria Integer Network Flow Problem BULGARIAN ACADEMY OF SCIENCES CYBERNETICS AND INFORMATION TECHNOLOGIES Volume 5, No 2 Sofa 2005 On the Multcrtera Integer Network Flow Problem Vassl Vasslev, Marana Nkolova, Maryana Vassleva Insttute of

More information

Review of metric spaces. 1. Metric spaces, continuous maps, completeness

Review of metric spaces. 1. Metric spaces, continuous maps, completeness (March 14, 2014) Revew of metrc spaces Paul Garrett garrett@math.umn.edu http://www.math.umn.edu/ garrett/ [Ths document s http://www.math.umn.edu/ garrett/m/mfms/notes 2013-14/12a metrc spaces.pdf] We

More information

Errors for Linear Systems

Errors for Linear Systems Errors for Lnear Systems When we solve a lnear system Ax b we often do not know A and b exactly, but have only approxmatons  and ˆb avalable. Then the best thng we can do s to solve ˆx ˆb exactly whch

More information