Online Appendix for Trade and Insecure Resources
|
|
- Wilfred Heath
- 5 years ago
- Views:
Transcription
1 B Onlne ppendx for Trade and Insecure Resources Proof of Lemma.: Followng Jones 965, we denote the shares of factor h = K, L n the cost of producng good j =, 2 by θ hj : θ Kj = r a Kj /c j and θ Lj = w a Lj /c j. Smlarly, θ KG r ψ r/ψ and θ LG w ψ w/ψ ndcate the correspondng cost shares n guns. Now denote the amount of land and labor employed n ndustry j =, 2 respectvely by Kj and L j. Then, these quanttes as a fracton of resources remanng once land and labor for producng guns have been set asde are respectvely ndcated by λ Kj K j /K and λ Lj L j /L. Fnally, let a percentage change be ndcated by a hat ˆ over the assocated varable e.g., x = dx x. Part a: Notng that c = and c 2 = p, dfferentaton of 2 and 3 totally gves c w dw + c r dr = 0 = a w dw L c w c 2 w dw + c 2 r dr = dp = a w dw L2 c 2 w + a r dr K c r = 0 + a r dr K2 c 2 r = dp p. Wth the defntons gven above, we can wrte ths system of equatons as θ L θ L2 θ K θ K2 ŵ r = 0 p. B. Now, snce h=k,l θ hj = for j =, 2 by defnton, the determnant of the coeffcent matrx above, denoted by θ, can be wrtten as θ θ K2 θ K = θ L θ L2 = ω k2 k ω + k ω + k2 0 f k2 k. Then, solvng B. for the p -nduced changes n factor prces yelds p w p w = θ K θ and p r p r = θ L θ. B.2 From B.2, then, we have p ωp/ω = p wp/w p rp/r = / θ 0 when k2 k, whch completes the proof of part a. Parts b and c: Note frst that we can combne 4 and 5 to obtan λ L k +λ L2 k 2 = k. Then, followng the strategy above n part a, we dfferentate 4 and 5 totally and solve
2 the resultng system of equatons to obtan = λ λ L2 K + λ L K2 2 = λ +λ K L λ L K + λ λ θ L2 δk + λ K2δL p λ θ λ L δk + λ KδL p, where δ K λ K θ L σ + λ K2 θ L2 σ 2 > 0 and δ L λ L θ K σ + λ L2 θ K2 σ 2 > 0, wth σ j = c 2 c j j / c j c j w r w r beng the absolute value of the elastcty of substtuton between land and labor n ndustry j; λ denotes the determnant of the coeffcent matrx obtaned from dfferentatng 4 and 5; recallng j=,2 λ hj = for h = K, L, we have λ k λ K2 λ L2 = λ L λ K = 2 k k k k k 2 k 0 f k2 k. Now, observe that k = K L, whch mples RS = 2 = λ k + δ K + δ L λ θ p. B.3 Inspecton of B.3 confrms parts b and c. Proof of Lemma.2: Denote country s land and labor shares n total net ncome R by s K r K /R and s L w L /R, and let σ G = ψ ψ wr/ψ wψ r be the absolute value of the elastcty of substtuton between land and labor n the guns sector. Total dfferentaton of 6, usng the lnear homogenety of ψ, yelds k = [ ψ θlg ] θ KG σ G G p + ψ θ R s K s L + r K 0 φ G j R s K dg j + φ dk 0 K R s K s L + dk K [ r s L ψ Parts a c & e: The proofs follow from B.4. K 0 φ G ψ r ] + θlg dg dl L. B.4 Part d: Suppose G = G j so that φ G = φ G j. Now use dg = dg j n B.4 to obtan k / G k = ψ θlg s L R s. K s L Usng the defntons of θ LG, s L, and R, along wth those for K and L n 4 and 5, 2
3 tedous algebra verfes the followng transformaton of ths relatonshp: k / G k = ψ θlg s L R s = ψ w k kg K s L K = ψ wl k kg K. B.5 L Inspecton of ths expresson confrms part d. Proof of Lemma.3: Part a: Dfferentate 9 wth respect to G and use equaton.c n ppendx to obtan V G G = µ r K 0 φ G G < 0. B.6 Part b: Dfferentaton of 9 wth respect to G j, usng equaton.d, gves V G G j = µ r K 0 φ G G j 0 f G G j. B.7 Part c: s noted n the text, ψ /r = ψω,, mplyng that ψ /r / p = ψ wω p. Then, dfferentatng 9 wth respect to prce and evaluatng the resultng expresson at the optmum gves by Lemma.a V G p = µ r ψ /r ψ p = µ w ψ w p ωp p ψ ω ψ = µ θ LG p θ 0 f k 2 k. B.8 Part d: Ths s a standard property of ndrect trade utlty functons, hghlghtng the mportant dea that, for gven guns, a country s welfare s hgher, the greater s the devaton of product prces from ther autarkc levels Dxt and Norman, 980. Proof of Lemma.4: Let σd > 0 be the elastcty of substtuton n consumpton. Focusng on percentage changes, note that RD = σ D p and that the expresson for RS s gven n B.3. Totally dfferentatng 0 and rearrangng terms gves RD = RS = σd + δ K + δ L λ θ p + λ k = 0. The above relaton and the defntons of θ and λ reveal that p s decreasng ncreasng n k f k 2 > k k 2 < k. Combnng the expresson for ˆk n B.4 wth the above 3
4 expresson gves p = [ k / G ] λ k dg + k / Gj k dg j + φ dk 0 K + dk K dl L, B.9 where σd + δ K +δ L λ θ + ψ θlg θ KG σ G G > 0. The proofs to parts a d now follow from λ θ R s K s L B.9 and Lemma.2 n ppendx. Proof of Theorem.: Exstence: We establsh exstence of equlbrum n pure strateges, by showng that each country s payoff functon V s strctly quas-concave n ts strategy, G. To do so, t s suffcent to show ether that V s strctly monotonc n G or that V s frst strctly ncreasng and then strctly decreasng over the agent s strategy space. Let F KG, L G be the producton functon for guns that s dual to the unt cost functon ψw, r and defne G F K, L as the level of guns produced wth the country s entre secure endowments of land and labor. Country s strategy space s [0, G ]. For any G j [0, G j ], f G = G, country j wll not be able to produce ether of the consumpton goods; therefore, V G, G j < V G, G j for any G [0, G whch mples that, under autarky, no country wll use all of ts resources to produce arms. Furthermore, snce lm G 0 f G = by assumpton, we must have V / G > 0 as G 0. By the contnuty of V n G, there wll exst a best response functon for each country, B Gj mn{g 0, G V / G = 0}, wth the property that V / G > 0 G < B Gj. Thus, to establsh strct quas-concavty of V n G we need only to prove that V / G < 0, G > B Gj. Suppose, to the contrary, that V / G 0. Snce V must eventually fall to V G, G j, ths supposton mples that V must attan a local mnmum at some G > B G j, whch would mply that 2 V / G 2 > 0. We now establsh that ths s not possble. Recallng that p = p G, G j under autarky and that ω = ωp, we dfferentate 9 wth respect to G and apply 9 to the resultng expresson to obtan 2 V G 2 = [ V G G ]p =p + ± [V G p ] p =p p G < 0. B.0 By Lemma.3a, the frst term n the RHS of the above expresson s negatve regardless of the rankng of factor ntenstes. Furthermore, by Lemmas.3c and.4b, the product of the expressons n the second term wll also be negatve. It follows that 2 V / G 2 < 0 In ths expresson and below, the top sgns n ± and apply when k 2 > k and the bottom sgns apply when k 2 < k. 4
5 at any G where V / G = 0 regardless of the rankng of factor ntenstes. Ths proves B Gj s unque and establshes the exstence of a pure-strategy equlbrum. Unqueness: Havng already establshed that guns producton s bounded.e., B Gj 0, G for =, 2 j, we can now establsh unqueness of equlbrum by showng that, at any equlbrum pont, the determnant of the Jacoban of the net margnal payoffs n 9 s postve.e., J = 2 V G 2 2 V 2 G V G G 2 2 V 2 G 2 G > 0 Kolstad and Mathesen, 987. Consder an equlbrum pont where G = B G2 and G2 = B G. From the expresson for J, t can be seen that, f the product of the slopes of the two countres best response functons, B / G2 B 2 / G, s less than at G, G2, then J > 0, mplyng that ths equlbrum s unque. The slope of country s best-response functon can be wrtten as B G j = 2 V / G G j 2 V / G 2 = [ V G G j ]p =p + [ V G G ]p =p + ± [V G p ] [V G p ] p =p p =p ± p G j p. G B. Snce 2 V / G 2 < 0 as shown n B.0, the sgn of B / Gj s determned by the sgn of 2 V / G G j shown n the numerator of B.. Now, by Lemmas.3c and.4b, the second term of the numerator of the RHS of ths expresson s always postve. By Lemma.3b, the frst term n the numerator s postve f B Gj > G j also see equaton B.7, n whch case G s a strategc complement for G j. However, f B Gj < G j, then the frst term s negatve. Thus, when B Gj s suffcently smaller than G j, G can become a strategc substtute for G j. Furthermore, snce φ G G = φ 2 2 G 2 G see.d, t follows from B.7 that sgn [ VG ] G = sgn [ V 2 ] 2 G 2 G. Therefore, we have p =p p 2 =p 2 two possbltes to consder. Ether B / Gj > 0 and B j / G 0 for =, 2 j ; or, B / Gj > 0 for =, 2 j. It s easy to check that, n case, B / G 2 B 2 / G < and therefore J > 0. Turnng to case, we now establsh the exstence of suffcent condtons that ensure B / G2 B 2 / G < and thus J > 0. 2 To proceed, use B.4 and B.9, applyng 9, to obtan p p ψ θ LG G = λ R s K s L and p G j = p ψ λ R s K s L φ G j φ G The above expressons together wth 9, B.6, B.7, and B.8 can be substtuted nto 2 Note that, n case, J > 0 s also the condton for local stablty of equlbrum. s L. 5
6 B. to obtan B / Gj = φ G j /φ G Γ, where Γ = [ φ G G j φ G j + ψ θ LG s L λ θ R s K s L ] / [ φ G G φ G + ψ θ LG 2 λ θ R s K s L ]. B.2 From equatons.a and.b n ppendx, we have φ G 2 /φ G φ 2 G /φ 2 G 2 =, mplyng B / G2 B 2 / G = Γ Γ2 ; therefore, f Γ 0, for =, 2, then J > 0. In case, both the numerator and the denomnator of Γ are postve, so Γ > 0. Now defne η G [ φ /φ + φ /φ ]. From.a.d, η = G [f G G G G G j G j /f f /f ] > 0. Then, subtractng the numerator of Γ from ts denomnator whle usng the defnton of shown below B.9 gves the followng: η G σd + δ K + δ L λ θ + ψ θ LG λ θ R s K s L θ LG + θkgσ Gη s L. B.3 Clearly, a suffcent condton for Γ < s that B.3 s postve, whch s almost always true. In partcular, snce the frst term and the coeffcent n front of the second term are unambguously postve, a suffcent but hardly necessary condton for Γ < s θlg + θ KG σ G η s L 0 or equvalently θ LG s L + θ KG σ G η s L 0. Ths condton s satsfed under a wde range of crcumstances, 3 ncludng: σg η s L, whch requres arms nputs not to be close complements; and θlg s L or, by B.5, k > kg, whch requres the guns sector to be suffcently labor ntensve, regardless of the degree of substtutablty between nputs n arms. condtons establshed above, ensures unqueness of equlbrum. Ether condton, along wth the boundary Proof of Theorem.2: The proofs for exstence and unqueness of equlbrum, whch buld on parts a and b of Lemma.3, are smlar to and smpler than those n the case of autarky see the proof of Theorem. above, and are thus omtted here. The man text provdes a dscusson of the logc underlyng the symmetry results. Proof of Proposton.: Under free trade wth p = π, each dentcal country s excess demand for good 2 s M = D 2 2 = D 2 π, Rπ, K, L R π π, K, L. B.4 The effect of conflct on a country s mports and hence exports can be dentfed by dfferentatng the expresson above wth respect to guns. We thus move from Nrvana to a stuaton of some conflct. Frst, total dfferentaton of B.4 keepng the world prce 3 If, for example, the producton functon for guns s Cobb-Douglas and the conflct technology takes the Tullock form.e., fg = G γ, γ 0, ], then σ G = and η =, thus mplyng that the suffcent condton smplfes to s L 0, whch s always satsfed. 6
7 fxed yelds dm = D 2 R [R KdK + R L dl ] R πk dk R πl dl. B.5 The frst term n the RHS of the above expresson s an ncome effect. Snce our focus here s on the case of dentcal countres, an ncrease n G would be matched by an equal ncrease n G j, and so would result n a decrease n ncome and thus a decrease n the demand for good 2. The last two terms combned represent a producton effect, as an ncrease n G and an equal ncrease n G j nfluence each country s resdual factor endowments. To proceed, recall that D 2 = α D R/p where α D πµ p /µ 0, s each country s expendture share on good 2. Under the assumpton that the country trades freely so that p = π, these relatonshps mply D 2 / R = α D /π. Furthermore, by the propertes of the revenue functon wth p = π, we have R K = r, R L = w, R πk = R Kπ = r π and R πl = w π for =, 2. ssumng dg = dg j = dg whch mples φ G = φ G j and keepng n mnd that K = K + φk 0 ψ r G and L = L ψ w G, equaton B.5 can be wrtten as dm = [ ] π α D ψ + r π ψ r + w π ψ w dg. B.6 Next, recall from the proof of Lemma.a, the defntons of the cost shares of land and labor n the producton of consumpton goods j =, 2 and guns: θ Kj = ra Kj /c j and θ Lj = wa Lj /c j, for j =, 2; and θ KG rψ r /ψ and θ LG wψ w /ψ. Then, tedous algebra usng equaton B.2 wth p = π shows that equaton B.6 can be rewrtten as follows: dm = ψ π θ [ α Dθ L + α D θ L2 θ LG ] dg, B.7 where θ = θ K2 θ K = θ L θ L2 0 as k 2 k. s shown n B.7, the key n determnng the sgn of dm s the sgn of the term n brackets, whch we denote by Λ: Λ α D θ L + α D θ L2 θ LG. We nterpret Λ as reflectng the degree of land ntensty of guns producton. In partcular, f Λ < 0, then we say that guns producton s suffcently labor ntensve; and f Λ > 0, then we say that guns producton s suffcently land ntensve. 4 To fx deas suppose that good 2 s produced ntensvely wth land k 2 > k, whch mples that θ > 0. In ths case, f guns producton s suffcently labor ntensve Λ < 0, then dm < 0, mplyng that there s a postve bas n the export of good 2 relatve to 4 One can show that these condtons, when evaluated n the autarkc equlbrum, are dentcal to requrng respectvely k Gω < k and k Gω > k. 7
8 the hypothetcal case of no conflct. 5 lternatvely, f guns producton s suffcently land ntensve Λ > 0, then dm > 0, mplyng that there s a postve bas n the mport of the land-ntensve good. Proof of Proposton.2: Consder an allocaton n the ES subset of S, where G G 2 and G F = G2 F > assumng world prces n the neghborhood of p. Under the mantaned assumpton that k2 > k, p > p2 holds see Lemma b n ppendx. Now suppose, just for the sake of argument, that both countres move to free trade, but face dfferent world prces: π = p and π2 = p 2. The resultng outcome s smply the autarkc equlbrum. fxed, and suppose that π2 ncreases to π = p. Ths ncrease To proceed, keep π = p n π 2 nduces country 2 to ncrease ts arms, whch n turn nduces country to ncrease ts arms. However, the ncrease n country s armng wll be proportonately less, so that n the free trade equlbrum armng s equalzed across countres: BF 2 G F ; p = B F G2 F ; p > G > G2. ssumng that θ LG s not too large relatve to s L so that dk /dg2 G =BF G2 < 0 see equaton.5, π = p < π and hence country s comparatve advantage s dstorted n ths equlbrum: MF p > 0. Snce a shft from autarky to free trade can be vewed as an exogenous change n the effectve prce, the welfare effects of such a shft can generally be decomposed nto the terms-of-trade effect and the strategc welfare effect as shown n. Of course, π has not changed n ths experment, mplyng the terms-of-trade effect on country s welfare s zero. Thus, the effect of both countres movng from autarky to free trade on country s welfare at π = p wll be captured by the negatve strategc welfare effect alone.e., the second term n equaton nduced by the ncrease n π 2. Note that, whle drven solely by the strategc welfare effect, ths adverse consequence for country s welfare reflects the dstorton n country s comparatve advantage at π = p. fall n the world prce below p nduces both a terms-of-trade mprovement and a postve strategc effect for country, and thus causes an ncrease n country s welfare. s such, there exsts a world prce less than p, for whch country s welfare under free trade wll be equal to that under autarky. s π rses above p approachng country s trade elmnatng prce π, both the terms of trade effect and the strategc welfare effect for country are negatve. Further ncreases n π above π contnue to mply a negatve strategc welfare effect, but now also a postve terms-of-trade effect. Nevertheless, for π suffcently close to π, the former effect wll domnate. 5 Note that f the representatve country were to export good 2 n the hypothetcal case of no conflct, ths bas would mply an expanson of the volume of trade under conflct. But, f the country were to mport good 2 n the case of no conflct, ths bas means that the volume of trade shrnks n the presence of conflct. 8
9 References Dxt,.K. and Norman, V., 980 Theory of Internatonal Trade, Cambrdge, England: Cambrdge Unversty Press. Jones, R.W., 965 The Structure of Smple General Equlbrum Models, Journal of Poltcal Economy 736, Kolstad, C.. and Mathesen, L., 987 Necessary and Suffcent Condtons for Unqueness of a Cournot Equlbrum, Revew of Economc Studes 544,
,, 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 informationA 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 information6) 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 informationWelfare 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 informationf(x,y) = (4(x 2 4)x,2y) = 0 H(x,y) =
Problem Set 3: Unconstraned mzaton n R N. () Fnd all crtcal ponts of f(x,y) (x 4) +y and show whch are ma and whch are mnma. () Fnd all crtcal ponts of f(x,y) (y x ) x and show whch are ma and whch are
More informationLecture 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 informationPerfect 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 informationEconomics 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 information1. relation between exp. function and IUF
Dualty Dualty n consumer theory II. relaton between exp. functon and IUF - straghtforward: have m( p, u mn'd value of expendture requred to attan a gven level of utlty, gven a prce vector; u ( p, M max'd
More informationOnline 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 informationOnline 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 informationHila 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 informationAPPENDIX 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 informationHow 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 informationModule 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 informationChapter 2 - The Simple Linear Regression Model S =0. e i is a random error. S β2 β. This is a minimization problem. Solution is a calculus exercise.
Chapter - The Smple Lnear Regresson Model The lnear regresson equaton s: where y + = β + β e for =,..., y and are observable varables e s a random error How can an estmaton rule be constructed for the
More informationMore 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 informationLinear Regression Analysis: Terminology and Notation
ECON 35* -- Secton : Basc Concepts of Regresson Analyss (Page ) Lnear Regresson Analyss: Termnology and Notaton Consder the generc verson of the smple (two-varable) lnear regresson model. It s represented
More information3.1 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 informationThe 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 informationEconomics 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 information3.2. Cournot Model Cournot Model
Matlde Machado Assumptons: All frms produce an homogenous product The market prce s therefore the result of the total supply (same prce for all frms) Frms decde smultaneously how much to produce Quantty
More informationDIFFERENTIAL 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( ) 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 informationMixed 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 informationk 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 informationOpen Systems: Chemical Potential and Partial Molar Quantities Chemical Potential
Open Systems: Chemcal Potental and Partal Molar Quanttes Chemcal Potental For closed systems, we have derved the followng relatonshps: du = TdS pdv dh = TdS + Vdp da = SdT pdv dg = VdP SdT For open systems,
More informationCS294 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 informatione i is a random error
Chapter - The Smple Lnear Regresson Model The lnear regresson equaton s: where + β + β e for,..., and are observable varables e s a random error How can an estmaton rule be constructed for the unknown
More informationInner 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 informationEcon107 Applied Econometrics Topic 3: Classical Model (Studenmund, Chapter 4)
I. Classcal Assumptons Econ7 Appled Econometrcs Topc 3: Classcal Model (Studenmund, Chapter 4) We have defned OLS and studed some algebrac propertes of OLS. In ths topc we wll study statstcal propertes
More information1 The Sidrauski model
The Sdrausk model There are many ways to brng money nto the macroeconomc debate. Among the fundamental ssues n economcs the treatment of money s probably the LESS satsfactory and there s very lttle agreement
More informationPROBLEM 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 informationEconomics 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 informationSupporting 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 informationUniversity 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 informationAssortment 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 informationx i1 =1 for all i (the constant ).
Chapter 5 The Multple Regresson Model Consder an economc model where the dependent varable s a functon of K explanatory varables. The economc model has the form: y = f ( x,x,..., ) xk Approxmate ths by
More informationNorm 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 informationSalmon: Lectures on partial differential equations. Consider the general linear, second-order PDE in the form. ,x 2
Salmon: Lectures on partal dfferental equatons 5. Classfcaton of second-order equatons There are general methods for classfyng hgher-order partal dfferental equatons. One s very general (applyng even to
More informationPsychology 282 Lecture #24 Outline Regression Diagnostics: Outliers
Psychology 282 Lecture #24 Outlne Regresson Dagnostcs: Outlers In an earler lecture we studed the statstcal assumptons underlyng the regresson model, ncludng the followng ponts: Formal statement of assumptons.
More informationWeek3, Chapter 4. Position and Displacement. Motion in Two Dimensions. Instantaneous Velocity. Average Velocity
Week3, Chapter 4 Moton n Two Dmensons Lecture Quz A partcle confned to moton along the x axs moves wth constant acceleraton from x =.0 m to x = 8.0 m durng a 1-s tme nterval. The velocty of the partcle
More informationBOUNDEDNESS 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 informationLet p z be the price of z and p 1 and p 2 be the prices of the goods making up y. In general there is no problem in grouping goods.
Economcs 90 Prce Theory ON THE QUESTION OF SEPARABILITY What we would lke to be able to do s estmate demand curves by segmentng consumers purchases nto groups. In one applcaton, we aggregate purchases
More informationDifference 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 informationC/CS/Phy191 Problem Set 3 Solutions Out: Oct 1, 2008., where ( 00. ), so the overall state of the system is ) ( ( ( ( 00 ± 11 ), Φ ± = 1
C/CS/Phy9 Problem Set 3 Solutons Out: Oct, 8 Suppose you have two qubts n some arbtrary entangled state ψ You apply the teleportaton protocol to each of the qubts separately What s the resultng state obtaned
More informationEndogenous 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 informationCOMPLEX NUMBERS AND QUADRATIC EQUATIONS
COMPLEX NUMBERS AND QUADRATIC EQUATIONS INTRODUCTION We know that x 0 for all x R e the square of a real number (whether postve, negatve or ero) s non-negatve Hence the equatons x, x, x + 7 0 etc are not
More informationPrice competition with capacity constraints. Consumers are rationed at the low-price firm. But who are the rationed ones?
Prce competton wth capacty constrants Consumers are ratoned at the low-prce frm. But who are the ratoned ones? As before: two frms; homogeneous goods. Effcent ratonng If p < p and q < D(p ), then the resdual
More information1 Matrix representations of canonical matrices
1 Matrx representatons of canoncal matrces 2-d rotaton around the orgn: ( ) cos θ sn θ R 0 = sn θ cos θ 3-d rotaton around the x-axs: R x = 1 0 0 0 cos θ sn θ 0 sn θ cos θ 3-d rotaton around the y-axs:
More informationModule 2. Random Processes. Version 2 ECE IIT, Kharagpur
Module Random Processes Lesson 6 Functons of Random Varables After readng ths lesson, ou wll learn about cdf of functon of a random varable. Formula for determnng the pdf of a random varable. Let, X be
More informationFoundations of Arithmetic
Foundatons of Arthmetc Notaton We shall denote the sum and product of numbers n the usual notaton as a 2 + a 2 + a 3 + + a = a, a 1 a 2 a 3 a = a The notaton a b means a dvdes b,.e. ac = b where c s an
More informationCSci 6974 and ECSE 6966 Math. Tech. for Vision, Graphics and Robotics Lecture 21, April 17, 2006 Estimating A Plane Homography
CSc 6974 and ECSE 6966 Math. Tech. for Vson, Graphcs and Robotcs Lecture 21, Aprl 17, 2006 Estmatng A Plane Homography Overvew We contnue wth a dscusson of the major ssues, usng estmaton of plane projectve
More informationProblem Set 3. 1 Offshoring as a Rybzcynski Effect. Economics 245 Fall 2011 International Trade
Due: Thu, December 1, 2011 Instructor: Marc-Andreas Muendler E-mal: muendler@ucsd.edu Economcs 245 Fall 2011 Internatonal Trade Problem Set 3 November 15, 2011 1 Offshorng as a Rybzcynsk Effect There are
More informationGames 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 informationChapter 9: Statistical Inference and the Relationship between Two Variables
Chapter 9: Statstcal Inference and the Relatonshp between Two Varables Key Words The Regresson Model The Sample Regresson Equaton The Pearson Correlaton Coeffcent Learnng Outcomes After studyng ths chapter,
More information8.6 The Complex Number System
8.6 The Complex Number System Earler n the chapter, we mentoned that we cannot have a negatve under a square root, snce the square of any postve or negatve number s always postve. In ths secton we want
More informationTrade and Insecure Resources: Implications for Welfare and Comparative Advantage
Trade and Insecure Resources: Implcatons for Welfare and Comparatve dvantage Mchelle R. Garfnkel Unversty of Calforna, Irvne Stergos Skaperdas Unversty of Calforna, Irvne Constantnos Syropoulos Drexel
More informationAffine 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 informationEcon Statistical Properties of the OLS estimator. Sanjaya DeSilva
Econ 39 - Statstcal Propertes of the OLS estmator Sanjaya DeSlva September, 008 1 Overvew Recall that the true regresson model s Y = β 0 + β 1 X + u (1) Applyng the OLS method to a sample of data, we estmate
More informationIntroduction to Vapor/Liquid Equilibrium, part 2. Raoult s Law:
CE304, Sprng 2004 Lecture 4 Introducton to Vapor/Lqud Equlbrum, part 2 Raoult s Law: The smplest model that allows us do VLE calculatons s obtaned when we assume that the vapor phase s an deal gas, and
More informationprinceton 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 informationSupporting 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 informationSupplementary Notes for Chapter 9 Mixture Thermodynamics
Supplementary Notes for Chapter 9 Mxture Thermodynamcs Key ponts Nne major topcs of Chapter 9 are revewed below: 1. Notaton and operatonal equatons for mxtures 2. PVTN EOSs for mxtures 3. General effects
More informationMaximizing 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 informationIntroduction. 1. The Model
H23, Q5 Introducton In the feld of polluton regulaton the problems stemmng from the asymmetry of nformaton between the regulator and the pollutng frms have been thoroughly studed. The semnal works by Wetzman
More informationTransfer Functions. Convenient representation of a linear, dynamic model. A transfer function (TF) relates one input and one output: ( ) system
Transfer Functons Convenent representaton of a lnear, dynamc model. A transfer functon (TF) relates one nput and one output: x t X s y t system Y s The followng termnology s used: x y nput output forcng
More informationOn the correction of the h-index for career length
1 On the correcton of the h-ndex for career length by L. Egghe Unverstet Hasselt (UHasselt), Campus Depenbeek, Agoralaan, B-3590 Depenbeek, Belgum 1 and Unverstet Antwerpen (UA), IBW, Stadscampus, Venusstraat
More information2.3 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 informationThe Geometry of Logit and Probit
The Geometry of Logt and Probt Ths short note s meant as a supplement to Chapters and 3 of Spatal Models of Parlamentary Votng and the notaton and reference to fgures n the text below s to those two chapters.
More informationFirst 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 informationCHAPTER 8. Exercise Solutions
CHAPTER 8 Exercse Solutons 77 Chapter 8, Exercse Solutons, Prncples of Econometrcs, 3e 78 EXERCISE 8. When = N N N ( x x) ( x x) ( x x) = = = N = = = N N N ( x ) ( ) ( ) ( x x ) x x x x x = = = = Chapter
More informationInfinitely Split Nash Equilibrium Problems in Repeated Games
Infntely Splt ash Equlbrum Problems n Repeated Games Jnlu L Department of Mathematcs Shawnee State Unversty Portsmouth, Oho 4566 USA Abstract In ths paper, we ntroduce the concept of nfntely splt ash equlbrum
More informationIn the figure below, the point d indicates the location of the consumer that is under competition. Transportation costs are given by td.
UC Berkeley Economcs 11 Sprng 006 Prof. Joseph Farrell / GSI: Jenny Shanefelter Problem Set # - Suggested Solutons. 1.. In ths problem, we are extendng the usual Hotellng lne so that now t runs from [-a,
More informationNUMERICAL DIFFERENTIATION
NUMERICAL DIFFERENTIATION 1 Introducton Dfferentaton s a method to compute the rate at whch a dependent output y changes wth respect to the change n the ndependent nput x. Ths rate of change s called the
More informationAppendix for Causal Interaction in Factorial Experiments: Application to Conjoint Analysis
A Appendx for Causal Interacton n Factoral Experments: Applcaton to Conjont Analyss Mathematcal Appendx: Proofs of Theorems A. Lemmas Below, we descrbe all the lemmas, whch are used to prove the man theorems
More informationProjective change between two Special (α, β)- Finsler Metrics
Internatonal Journal of Trend n Research and Development, Volume 2(6), ISSN 2394-9333 www.jtrd.com Projectve change between two Specal (, β)- Fnsler Metrcs Gayathr.K 1 and Narasmhamurthy.S.K 2 1 Assstant
More informationThe 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 informationErrors 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 informationTrade and Insecure Resources
Trade and Insecure Resources Mchelle R. Garfnkel Unversty of Calforna, Irvne Stergos Skaperdas Unversty of Calforna, Irvne Constantnos Syropoulos Drexel Unversty Current Verson: September 10, 2013 bstract:
More informationAppendix B. Criterion of Riemann-Stieltjes Integrability
Appendx B. Crteron of Remann-Steltes Integrablty Ths note s complementary to [R, Ch. 6] and [T, Sec. 3.5]. The man result of ths note s Theorem B.3, whch provdes the necessary and suffcent condtons for
More informationSL 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 informationIterative General Dynamic Model for Serial-Link Manipulators
EEL6667: Knematcs, Dynamcs and Control of Robot Manpulators 1. Introducton Iteratve General Dynamc Model for Seral-Lnk Manpulators In ths set of notes, we are gong to develop a method for computng a general
More informationLINEAR REGRESSION ANALYSIS. MODULE IX Lecture Multicollinearity
LINEAR REGRESSION ANALYSIS MODULE IX Lecture - 31 Multcollnearty Dr. Shalabh Department of Mathematcs and Statstcs Indan Insttute of Technology Kanpur 6. Rdge regresson The OLSE s the best lnear unbased
More informationThe equation of motion of a dynamical system is given by a set of differential equations. That is (1)
Dynamcal Systems Many engneerng and natural systems are dynamcal systems. For example a pendulum s a dynamcal system. State l The state of the dynamcal system specfes t condtons. For a pendulum n the absence
More informationGeneral viscosity iterative method for a sequence of quasi-nonexpansive mappings
Avalable onlne at www.tjnsa.com J. Nonlnear Sc. Appl. 9 (2016), 5672 5682 Research Artcle General vscosty teratve method for a sequence of quas-nonexpansve mappngs Cuje Zhang, Ynan Wang College of Scence,
More informationExercise Solutions to Real Analysis
xercse Solutons to Real Analyss Note: References refer to H. L. Royden, Real Analyss xersze 1. Gven any set A any ɛ > 0, there s an open set O such that A O m O m A + ɛ. Soluton 1. If m A =, then there
More informationTrading with the Enemy
Tradng wth the Enemy Mchelle R. Garfnkel Unversty of Calforna, Irvne Constantnos Syropoulos Drexel Unversty Current Verson: March 1, 2017 Abstract: We analyze how trade openness matters for nterstate conflct
More informationPHYS 705: Classical Mechanics. Calculus of Variations II
1 PHYS 705: Classcal Mechancs Calculus of Varatons II 2 Calculus of Varatons: Generalzaton (no constrant yet) Suppose now that F depends on several dependent varables : We need to fnd such that has a statonary
More informationFormulas for the Determinant
page 224 224 CHAPTER 3 Determnants e t te t e 2t 38 A = e t 2te t e 2t e t te t 2e 2t 39 If 123 A = 345, 456 compute the matrx product A adj(a) What can you conclude about det(a)? For Problems 40 43, use
More informationLecture 3: Probability Distributions
Lecture 3: Probablty Dstrbutons Random Varables Let us begn by defnng a sample space as a set of outcomes from an experment. We denote ths by S. A random varable s a functon whch maps outcomes nto the
More informationGame 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 informationLinear, 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 informationConstant Best-Response Functions: Interpreting Cournot
Internatonal Journal of Busness and Economcs, 009, Vol. 8, No., -6 Constant Best-Response Functons: Interpretng Cournot Zvan Forshner Department of Economcs, Unversty of Hafa, Israel Oz Shy * Research
More informationEquilibrium 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 informationCanonical transformations
Canoncal transformatons November 23, 2014 Recall that we have defned a symplectc transformaton to be any lnear transformaton M A B leavng the symplectc form nvarant, Ω AB M A CM B DΩ CD Coordnate transformatons,
More information8.4 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 informationj) = 1 (note sigma notation) ii. Continuous random variable (e.g. Normal distribution) 1. density function: f ( x) 0 and f ( x) dx = 1
Random varables Measure of central tendences and varablty (means and varances) Jont densty functons and ndependence Measures of assocaton (covarance and correlaton) Interestng result Condtonal dstrbutons
More informationAGC Introduction
. Introducton AGC 3 The prmary controller response to a load/generaton mbalance results n generaton adjustment so as to mantan load/generaton balance. However, due to droop, t also results n a non-zero
More informationCopyright (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