Financial Structure, Growth and the Distribution of Wealth

Size: px
Start display at page:

Download "Financial Structure, Growth and the Distribution of Wealth"

Transcription

1 Financial Srucure, Growh and he Disribuion of Wealh Davide Fiaschi Universiy of Pisa. Diparimeno di Scienze Economiche Riccarda Longarei Universiy of Milano - Bicocca. Diparimeno di Economia Poliica riccarda.longarei@unimib.i May 005 Preliary Draf Absrac A large heoreical and empirical lieraure has documened he relaion exising beween financial secor, economic growh and capial accumulaion. The causal relaionships among hese variables are no clear hough and reasonably i does no work in a unique direcion: financial developmen can be boh he cause and he effec of economic growh or, alernaively, a mere feaure of he growh process; he same consideraion holds for inflaion. In his paper we argue ha inequaliy plays a role in explaining hese relaionships and propose an OLG model wih heerogeneous alruisic agens, credi and money. Agens are heerogeneous in wealh and alens. They mus choose wheher being workers-lenders or enrepreneurs (eiher be self-financed or liquidiy consrained). Individual occupaional choice depends boh on individual s wealh and abiliies, bu also on he real ineres raes on deb and on credi. Financial developmen is measured by he gap beween he ineres rae on deb and credi. Credi is also supplied by a cenral bank ha provides money o he financial secor and his, in urn finances he invesmen projecs. The cenral bank hen ransfers equally o each and every agen he reurn on he supply of credi. This can be a source of inflaion. 1

2 1 INTRODUCTION In equilibrium he real ineres raes on deb and on credi, he individual occupaional choice and he share of enrepreneurs in he populaion, i.e. he disribuion of income and wealh, heir average and aggregae levels, are affeced by he inflaion rae and he degree of financial developmen. More precisely we show ha an increase in he coss of financial ransacion has basically wo effecs. On one hand, reducing he gain o be a lender, i increases he relaive share of enrepreneurs in he populaion (subsiuion effec). On he oher hand, i increases he ineres rae and herefore decreases he enrepreneurial share of he populaion since i reduces he available pool of loanable funds (scale effec). The ne effec depends on which effec prevails. Moreover, in his framework money is no neural. The higher he money sock, he lower, for any given inflaion rae, he equilibrium noal ineres rae. In urn, his implies a lower share of he populaion wih liquidiy consrains and herefore an increase in he enrepreneurial share of he populaion and in he average wealh. Finally we demonsrae ha financial developmen and moneary policy have asymmeric effecs hroughou he populaion. Liquidiy consrained agens are definiely made worse off by boh an increase in he coss of financial inermediaion and by an increase in inflaion rae. This provides a possible jusificaion for he direc relaionship beween inequaliy and high inflaion ha is shown by empirical esimaions. 1 Inroducion The causal relaionships among financial secor, economic growh and capial accumulaion are no clear, hough analysed by heoreical lieraure and empirically esimaed. Reasonably i does no work in a unique direcion: financial developmen can be boh he cause and he effec of economic growh or, alernaively, a mere feaure of he growh process; he same consideraion holds for inflaion ( Gerler (1988), Levine (1997) and Pagano (1993)) In his paper we argue ha wealh and income inequaliy, resuling from heerogeneiy in alens, plays a role in explaining hese relaionships. Following Longarei and Delli Gai (005), we propose an OLG model wih heerogeneous alruisic agens and money, and we model, in his framework, he credi marke. Agens are heerogeneous in wealh, alens and consequenly in income. They mus choose wheher being workers-lenders or enrepreneurs, underaking an invesmen projec wih a fix inpu requiremen. Enrepreneurs may be eiher self-financed

3 1 INTRODUCTION or liquidiy consrained. In he former case hey need o borrow he inpu requiremen in excess o heir own wealh. Self-financed enrepreneurs, on he oher hand, lend heir wealh in excess o he inpu requiremen. The occupaional choice depends boh on he individual wealh and abiliies, bu also on he real ineres raes on deb and on credi. Financial developmen is measured he resources consumed by he financial secor or equivalenly he coss of financial ransacion. This generaes a gap beween he ineres rae on deb and credi. Apar from individuals, credi is also supplied by a cenral bank ha provides money o he financial secor and his, in urn finances he invesmen projecs. The cenral banker hen ransfers equally among individuals he profi earned. This can be a source of inflaion. In equilibrium he real ineres raes on deb and on credi, he individual occupaional choice and he share of enrepreneurs in he populaion, i.e. he disribuion of income and wealh, heir average and aggregae levels, are affeced by boh he inflaion rae and he degree of financial developmen. An increase in he coss of financial ransacion has basically wo effecs. On one hand i widens he gap beween he rae of reurn on deb and he rae of reurn on credi for any given ineres rae. This can produce as a sor of subsiuion effec ha increases he relaive share of enrepreneurs in he populaion (he gain o be a lender is lower). On he oher hand, he lower efficiency of he financial secor reduces he available pool of loanable funds causing an increase in he ineres rae and herefore a decrease in he enrepreneurial share of he populaion (scale effec). The ne effec on he equilibrium ineres rae, on he composiion of he populaion per occupaion and on he aggregae wealh depend on which effec prevails. This in urn depends crucially on he average (and aggregae) wealh and on is disribuion. In paricular, he higher he share of populaion wih liquidiy consrains and he lower he average (and he aggregae) wealh, he more he scale effec prevails. Symmerically, he lower he share of populaion wih liquidiy consrains and he higher is he average (and he aggregae) wealh, he more he subsiuion effec prevails. Therefore σ acs as a sor of financial acceleraor widening booms and recessions. Moreover, in his framework money is neiher neural nor superneural. The higher he growh rae of money, he higher (lower) he inflaion (real ineres) rae. Equivalenly he higher he money sock he lower, for any given inflaion rae, he equilibrium noal ineres rae. In urn, his implies a lower share of he populaion wih liquidiy consrains and herefore an increase in he enrepreneurial share of he populaion and in he average wealh. 3

4 THE MODEL Financial markes and moneary policy have synergic ineracion. The more efficien he financial marke, he higher he effecs of moneary policy. Moreover, financial developmen and moneary policy have asymmeric effecs hroughou he populaion, since hey ac via he occupaional choice. Liquidiy consrained agens are made definiely worse off by boh an increase in he coss of financial inermediaion and by an increase in inflaion rae. This provides a possible jusificaion for he direc relaionship beween inequaliy and high inflaion ha is shown by empirical esimaions. The model In he economy here exiss a unique good, he oupu good, ha can be eiher consumed or invesed. There are wo differen producion echnologies in order o produce he oupu good, a labour-inensive echnology and a capial-inensive one. For he sake of simpliciy, we assume ha populaion is consan over ime. Populaion consiss of a mass of young individuals equal o 1 and a mass of old individuals (he young of he previous generaion) equal o 1. Oupu is perishable and herefore wealh canno be sored o be consumed in he fuure. For simpliciy, preferences are uniform across individuals and he young do no receive uiliy from consumpion. Assug inergeneraional alruism, well-behaved preferences may be represened by: U = (c i+1 ) γ (b i+1 ) 1 γ, (1) where c i+1 is consumpion of he agen when old and b i+1 is beques of he old o he young. The i-h young a ime is endowed by Naure wih one uni of labour and a some level of alen ρ i. Moreover, he receives a moneary beques equal o P b i from his faher. He can allocae his beques in wo ways: eiher offer i o he financial secor, becog a lender, and/or inves a fix amoun P x in he enrepreneurial projec ogeher wih his endowmen of labour. Since he amoun of invesmen is fixed, an enrepreneurial agen may be self financed (i.e. an enrepreneur-lender) and, in his case, he offers he remaining amoun of his beques o he financial secor. Oherwise he may borrow from he financial secor becog an enrepreneur-borrower. Finally here are all non-enrepreneurs agens offer inelasically heir labour endowmen, becog workers, a he fix real wage w < 1. 1 Sumg up here exis hree ypes of agens: workers-lenders (WL 1 This consrain on real wage is no source of limiaion in he analysis because is essenially due o 4

5 THE MODEL hereafer), enrepreneurs-lenders (EL hereafer) and enrepreneurs-borrower (EB hereafer). The financial secor consumes σ unis of oupu per uni of loans. Therefore σ can be hough of as a ransacion cos or, equivalenly, a measure of he efficiency of he financial secor. The lower σ he more efficien he financial secor. Therefore he supply of credi by he financial secor is a share (1 σ) of he lenders bequess. Therefore he supply and demand of agens are given by: 3 L P,S i = (1 σ)p b i if i is WL; = (1 σ) (P b i P x) if i is EL; L P,S i L D i = P x P b i if i is EB. () where L P,S i (L P,D i ) is he noal supply (demand) of credi of agen i and index P sands for privae supply of credi, as i will see below, since here exiss also a public supply of credi by a cenral banker In he economy here exiss also a cenral banker ha gives a sock of money a ime H o he financial secor in order o be len (his is equivalen o a public supply of credi). A ime + 1 he financial secors pays back o he cenral banker an amoun equal o H R +1 (1 σ). This is ransferred o he old agens wih equal ransfers hroughou he economy. Since he populaion is of mass 1, H R +1 (1 σ) represens boh aggregae and individual ransfers. 4 Producion akes place when agens are old. 5 If an agen knows he will become an enrepreneur, he i-h old-enrepreneur ges a gross real reurn ρ i on he invesmen projec. We assume ha ρ i is drawn from a ime invarian uniform disribuion beween 0 and 1, i.e.: ρ i U (0, 1). (3) Every borrowers pays back his deb o lenders a he gross noal ineres rae R. he assumpion ha agens abiliies are on he range [0,1]. Noice ha σ can also be hough of as he reserve requiremen raio when financial secor is composed by banks. 3 Pr sands for privae, as i will be clear below, since here exiss also a public supply of credi by a cenral banker. 4 This is equivalen o assume ha every agen ges an equal share of he profis of he financial secor once we ake σ as he uni cos of he financial inermediaion (calculaed on HR and no on H). 5 Noe ha, in order o simplify algebra, we assume ha invesmen, and consequenly occupaional choice, akes place when agens are young, whereas producion akes place when agens are old. 5

6 .1 Occupaional choice THE MODEL Therefore he ineremporal budge consrain is given by: P +1 w + (1 σ) (P b i + H )R +1 = P +1 (c i+1 + b i+1 ) if i is WL; P +1 ρ i (P x P b i )R +1 + (1 σ)h R +1 = P +1 (c i+1 + b i+1 ) if i is EB; P +1 ρ i + (1 σ) (P b i P x + H )R +1 = P +1 (c i+1 + b i+1 ) if i is EL. (4) The coss of financial ransacion creae a wedge beween he ineres rae on debi (R +1 ) and he ineres rae on credi ((1 σ) R +1 ), being he former higher han he laer. The ineremporal budge consrains can be expressed in real erms dividing by P +1, i.e.: w + (1 σ) (b i + h )θ +1 R +1 = c i+1 + b i+1 if i is WL; (5) ρ i (x b i )θ +1 R +1 + (1 σ)h θ +1 R +1 = (c i+1 + b i+1 ) if i is EB; (6) ρ i + (1 σ) (b i x + h )θ +1 R +1 = c i+1 + b i+1 if i is EL, (7) where θ +1 = 1/ (1 + π +1 ) is he real rae of reurn on money, θ +1 R +1 = (1 + r +1 )/(1 + π +1 ) is he real gross ineres rae and h = H /P is he real money supply..1 Occupaional choice Maximizaion of uiliy (1) corresponds o maximize he income of he old agen. 6 Therefore, from Eqq. (5) and (7), when agen i is sufficienly endowed, i.e. b i x, he chooses o become an enrepreneur (i.e. an EL) if: y WL +1 y EL i+1 w + (1 σ) (b i + h )θ +1 R +1 ρ i + (1 σ) (b i x + h )θ +1 R +1, ha is if: ρ i ρ EL +1 = w + (1 σ) xθ +1 R +1. (8) Eq. (8) represens he hreshold of he reurn on invesmen (individual alen) above which he bes endowed agens choose o become enrepreneurs. Given he 6 Le y i+1 = c i+1 + b i+1 be he income of old agen. Then maximizaion of U leads o: U max = (γy i+1 ) γ [ y i+1 ] 1 γ, since: c i+1 = γy i+1 ; b i+1 = y i+1. 6

7 THE MODEL.1 Occupaional choice disribuion of ρ i, ρ EL represens he share of workers ou of self-financed agens. I is quie sraighforward ha his is increasing in he real wage w, in he ineres rae on credi R +1 and in he inpu requiremen x. I is decreasing in he parameer reflecing he ransacion coss of financial inermediaion σ since i decreases he ne real ineres rae on credi. In oher words he higher he real wage, he ineres rae on credi and he inpu requiremen, he more profiable is for self financed agens o become workers and lend heir bequess via he financial secor. From Eqq. (5) and (6) he less endowed agens, i.e. agens such ha b i < x, chooses o become an enrepreneur (i.e. an EB) if: y WL +1 y EB i+1 w+(1 σ) (b i + h )θ +1 R +1 ρ i (x b i )θ +1 R +1 +(1 σ) h θ +1 R +1, ha is if: ρ i ρ EB +1 = w + R +1 θ +1 x σr +1 θ +1 b i = ρ EL + σθ +1 R +1 (x b i ). (9) Finally, if b i = x hen ρ EB +1 = ρ EL +1. Eq. (9) highlighs ha ρ EB +1 ρ EL +1 > 0 and he laer difference is decreasing in b i and increasing boh in σ and in R +1 θ +1. I is worh noing ha hreshold ρ EB +1 is no he share of workers ou of liquidiy consrained agens, since i depends on b i. In oher words ρ EB is only he hreshold of alen in order o become EB. Wihou lack of generaliy assug ha bequess are disribued on he suppor ( ) b,b max according o he densiy funcion f (b ), he share of WL ou of liquidiy consrained agens is equal o x ρ EB f (b )db. Figure 1 provides a graphical represenaion of b he pariion of he all populaion, afer normalizing he suppor of he disribuion of wealh/beques. bi b max b b 1 WL EL x b max b b WL WL EB ˆρ EL 1 ρ i Figure 1: Pariion of he populaion according o individual wealh and alen In order o simplify he noaion le α LC = x f (b )db be he share of he popula- = ( ) 1 α LC b max = f (b x )db be he ion wih (possible) liquidiy consrains and α SF 7 b

8 3 CREDIT AND MONEY MARKETS (possible) self-financed share of he populaion a ime a ime. Therefore he shares of he hree differen ypes of agens in he populaion, β EL +1, β EB +1 and β WL +1, are given by: 7 β+1 EL = ( ) 1 ˆρ EL +1 α SF = ( )( ) 1 ˆρ EL +1 1 α LC ; (10) [ ( ) ( )] β+1 EB = αlc 1 ˆρ EL +1 σθ+1 R +1 x b ; (11) β WL +1 = ˆρ EL +1 + αlc ( σθ +1 R +1 x b ). (1) 3 Credi and money markes To calculae he supply and demand of credi we mus calculae he endowmen of he SF self-financed and liquidiy-consrained agens. Le b = b max b x f (b )db be he average wealh/beques of he (possible) self-financed agens and = x b f (b ) db he average wealh/beques of he (possible) liquidiy-consrained agens. I is sraighforward ha he average wealh/beques of economy is: b = α SF bsf b LC b + α LC blc (13) From Eqq. () he aggregae (and average) supply of credi (he sum of privae and public supply of credi) is given by: L S = L P,S + P h = P (1 σ) [ β+1 EL ( bsf x ) + ˆρ EL b + ( ] β+1 WL ˆρ EL) blc + h, while he demand of credi is equal o: ( ) L D = P β+1 EB x blc. Equilibrium on he credi marke implies ha 8 (1 σ) [ β+1 EL ( bsf x ) + ˆρ EL +1 b + ( β+1 WL ˆρ EL) blc ] ( ) +1 + h = β EB +1 x blc. (14) 7 Since producion akes place when agens are old, we index he each occupaional share of populaion wih + 1, even hough he occupaional choice akes place when young. 8 Noe ha, if σ = 0 and h = 0, equilibrium on he credi marke implies β EL ( ( ) β WL +1 ˆρ EL) blc = β+1 EB x blc I comes ou b x [ 1 β WL] = 0, ha is β WL = 1 b x ( bsf x ) + ˆρ EL b +

9 4 DYNAMICS OF BEQUESTS 3.1 Money marke In order o calculae he equilibrium real ineres rae (θ +1 R +1 ) we mus subsiue Eqq. (8), (10), (11) and (1) ino (14): 9 (θ +1 R +1 ) = (1 σ)x α LC σ (x b ( ) [ α LC x b LC (1 σ) [ x σ α LC ) b α LC b LC ( ) σb LC x b LC x ( ) ] 1 α LC + h ] w + x (1 α LC ). Eq. (15) saes he equilibrium real rae of ineres for (θ +1 R +1 ) 0. If L D < L S (θ +1 R +1 ) 0 hen (θ +1 R +1 ) = 0 will be he equilibrium ineres rae. 10 We will see ha his can happen for a some configuraion of parameers (see Proposiion ). (15) 3.1 Money marke The real quaniy of money is defined by Eq. (14): ( ) h = βeb +1 x blc β EL ( bsf +1 x ) ˆρ EL b ( β+1 WL ˆρ EL) blc 1 σ. (16) We observe ha in equilibrium all variables on he righ are consan and herefore h as well. Assume ha money grow a a consan rae µ, i.e.: H +1 = (1 + µ)h. Dividing by P +1 boh sides we ge h +1 = (1 + µ)θ +1 h, ha is: 4 Dynamics of bequess h +1 h = (1 + µ)θ +1 = 1 + µ 1 + π +1. (17) The dynamics of economy is fully described by he dynamics of he agens bequess. From agen s preferences (1) we have ha: b i+1 = y i+1. 9 See Appendix A for he calculaions. 10 Even if i is possible ha he real ineres rae is negaive (e.g. when he inflaion rae is srongly negaive) we exclude his possibiliy because i appears very unlikely in our long-run analysis. 9

10 5 LONG-RUN EQUILIBRIUM The agen s income differ according o he agen s ype; in paricular: b WL i+1 = [w + (1 σ) (b i + h) (θ +1 R +1 ) ] ; (18) b EL i+1 = [ρ i + (1 σ) (b i x + h) (θ +1 R +1 ) ] ; (19) b EB i+1 = [ρ i (x b i ) (θ +1 R +1 ) + (1 σ) h (θ +1 R +1 ) ]. (0) An analyical characerizaion of he dynamics is difficul because he shape of he accumulaion equaions (18)-(0) depens on he equilibrium real ineres rae (θ +1 R +1 ), and he laer, in urn, depends on he disribuion of bequess, which evolves nonlinearly. 5 Long-run equilibrium In his secion we characerize he properies of he possible long-run equilibria. Firs of all we idenify he possible average bequess for he hree ypes of agens. Proposiion 1 Le (θr) LRE be he long-run real ineres rae. Assume ha economy does no show a posiive long-run growh, ha is: 11 (1 σ) (θr) LRE < 1. (1) Then he average long-run equilibrium levels of bequess for he hree differen ypes of agens are: bwl = bel = beb = [w + (1 σ)h(θr) LRE] ; () 1 (1 σ) (θr) LRE [ ρ EL + (1 σ) (h x) (θr) LRE] ; (3) 1 (1 σ) (θr) LRE [ ρ EB + (1 σ)h(θr) LRE x (θr) LRE] ; (4) 1 (θr) LRE where ρ EL and ρ EB are respecively he average alen of EL and EB agens, while he average long-run equilibrium beques b LRE is given by: blre = β WL bwl + β EL bel + β EB beb (5) 11 This condiion ensures ha WL and EL agens canno increase forever heir wealh. The dynamics of agens EB is no relevan because, even if heir beques could increase forever, hen once over x hey become EL agens. 10

11 5 LONG-RUN EQUILIBRIUM Proof. I direcly follows from Eqq. (18)-(0) and from Definiions (10)-(1). However, i is possible ha for a some configuraion of parameers no all hree ypes of agens are presen. In paricular hree differen ypes of long-run equilibria are possible: i) all agens are lenders, i.e. here is no EB agens (i.e. β EB = 0); ii) all agens are liquidiy consrained, i.e. here is no EL agens (i.e. β EL = 0) and iii) all hree ypes of agens are presen in he economy (i.e. β WL,β EL,β EB > 0). To have an inuiion of hese hree cases in Figure 5 we repor he accumulaion funcions of he hree ypes of agens given by Eqq. (18)-(0) for a given disribuion of wealh, i.e. aking as consan he ne ineres rae θr. b i+1 b EL b ( ρ = 1) EL ( ρ = ρ ) WL EL = b ˆ b i+1 b b EL b ( ρ = 1) ( ρ = ρ ) EL ( ρ = ρ ) WL EL = b ˆ b i+1 EB b ( ρ = 1) b EB ( ρ = 1) EL ( ρ = 1) ( ρ = ρ ~ ) ( ρ = ρ ) EL ( ρ = ρˆ ) x b x i b x i Case 1 Case Case 3 0 ( γ)w LRE [ ] 1 ( 1 γ) 1+ ( 1 σ) h( θr) Case 1 Case 3 Case x bi Figure : The hree differen cases In he firs case agens have a beques such ha all can inves (noe ha θr = 0); in he second case no agen have a sufficienly high level of beques o be able o inves wihou ask for credi; finally in he hird case some agens are liquidiy consrained, bu oher have a sufficienly high level of beques o be able boh o inves and o supply credi. More deails on Figure 5 will be given below, when we analysis each single case. Proposiion saes more formally he condiions for Case 1. Proposiion Le Case 1 define as he long-run equilibrium where here is no EB agens. The necessary and sufficien condiion because Case 1 happens is given by: 0 < x < w. (6) 11

12 5 LONG-RUN EQUILIBRIUM In he long-run equilibrium i holds ha: (θr) LRE = 0; ( β WL,β EB,β EL) = (w, 0, 1 w) ; ( bwl, b EL,b LRE) = ( w, Proof. See Appendix B. ( 1 + w ), (1 + ) w ). The picure on he lef in Figure 5 represens Case 1. There is a mass of w workers whose beques is w and a mass of 1 w EB agens uniformly disribued on he range [w, 1]. The opposie of Case 1 is an economy where all agens are liquidiy consrained. Proposiion 3 saes he condiion for Case. Proposiion 3 Le Case be he long-run equilibrium where here is no EL agens. The necessary and sufficien condiion because Case happens is given by: [ x 1 + (1 σ)h(θr) LRE]. Appendix D repors he values of (θr) LRE, b WL, b EB, b LRE, β WL and β EB for his case. Proof. See Appendix C. The inuiion of Proposiion 3 can be found in he cenral picure of Figure 5; in fac, he necessary and sufficien condiion for Case consiss in excluding he possibiliy ha he mos alened agen has a long-run beques greaer han x (he highes accumulaion funcion in he picure). An analyical soluion for (θr) LRE is no easily available, excep for he rivial case σ = 0; however i is sraighforward o observe ha: Remark 4 A necessary condiion for Case is ha x. I is worh noing ha also for x > is possible ha Case does no happen (as we will see below we are in Case 3). This is because for x = θr is equal o 0 and, even if θr is increasing in x, ex-ane i is no clear which beween x and θr increases quicker when x is around. However, for x very large i is plausible ha condiion for Case holds. For w < x < we are in Case 3. Proposiion 5 saes he condiions for Case 3 more precisely. 1

13 5 LONG-RUN EQUILIBRIUM 5.1 Financial secor Proposiion 5 Le Case 3 define as he long-run equilibrium where here are all hree ypes of agens. The necessary and sufficien condiion because Case 3 happens is given by: [ w < x < 1 + (1 σ) h (θr) LRE]. Appendix D repors he values of (θr) LRE, b WL, b EB, b EL, b LRE, β WL, β EB and β EL for his case. Proof. See Appendix D. A direc implicaion of Proposiion 5 is ha: Remark 6 A sufficien condiion for Case 3 is ha w x. The inspecion of he picure on[ he righ of Figure[ 5 provides an inuiion of Proposiion 5. We observe ha for x w, 1 + (1 σ)h(θr) LRE]] all hree ypes of agens are presen in he economy because for some paricularly alened agen (i.e. wih ρ > ρ) he long-run level of beques is over x. A he same ime here are some EB agens, whose alen belongs o he range [ ρ, ρ ]. Finally, WL agens have he lowes alen, i.e. in he range [ 0,ρ ]. Proposiions, 3 and 5 characerize he saic properies of he long-run equilibrium, while i remains difficul o analyse he dynamics of wealh/beques disribuion. In paricular, we conjecure ha disribuion dynamic is ergodic (accumulaion equaions (18)-(19) are coninuous and piecewise linear). Moreover, we expeced ha an increase in he efficiency of financial secor and/or an increase in he real sock of money can increase boh he average long-run level of wealh/beques and decrease he inequaliy in he disribuion. In he nex Secion we use numerical simulaions o es hese conjecures. 5.1 Efficiency of he financial secor In his Secion we analyse he effec of a change in he efficiency of financial secor, i.e. a decrease in σ. On one hand i reduces he gap beween he rae of reurn on deb and he rae of reurn on credi for any given ineres rae. This can produce as a sor of subsiuion effec ha decreases he relaive share of enrepreneurs in he populaion (he gain o be a lender is lower) (subsiuion effec). On he oher hand, he higher efficiency of he financial secor increases he amoun of loanable funds, causing a decrease in he ineres rae and, herefore, an increase in he enrepreneurial share of he populaion (scale effec). The ne effec on he equilibrium ineres rae, on he composiion of he 13

14 6 NUMERICAL SIMULATIONS populaion and on he aggregae wealh depend on which effec prevails. This in urn depends crucially on he average (and aggregae) wealh and on is disribuion. In paricular, he higher he share of populaion wih liquidiy consrains and he lower he average (and he aggregae) wealh, he more he scale effec prevails. Symmerically, he lower he share of populaion wih liquidiy consrains and he higher is he average (and he aggregae) wealh, he more he subsiuion effec prevails. In Case 3 scale effec prevails. To have an inuiion consider Figure 5.1, where a change in σ is accompanied by a change in α LC from α LC 0 o α LC 1 (his reflec he change in he composiion of populaion). b i+1 ( ρ = 1) ( ρ =1) x h A A B C C D G D G x ( ρ = 0) ( ρ = 0) ~ ( ρ ) 0 ~ ( ρ ) 1 ( ρ 0 ) EL ( ˆρ 0 ) ( ρ 1 ) EL ( ˆρ 1 ) ( ρ ( σ )) 0 b i Figure 3: The effec of an increase of he efficiency of financial secor The bold lines are paramerized o he new σ. I is possible o show ha AA = GG = ( ) α1 LC α0 LC and herefore AG = A G. Quie inuiively i comes ou ha α LC 0 = BG AG and αlc 1 = BG A G = BG > AG αlc 0. Following he same raionale ρ EL 0 = DG AG 0. This shows ha he and ρ EL 1 = D G = D G < A G AG ρel 0 ; ρ 1 = C G = C G < CG < A G AG AG ρ scale effec should prevail. We es his predicion by numerical simulaions below. 6 Numerical simulaions In all numerical simulaions, if no diversely specified, we assume he following configuraion of parameers: σ = 0.1, γ = 0.8, w = 0., h = 0.05, θ = 1, i.e. µ = 0. Parameers h and θ should be endogenous deered ou of equilibrium, bu o speed up he analysis from he begin we ake hem a heir long-run equilibrium levels. Proposiions -5 sugges o focus on he value of x. In paricular we change he value of he laer o reproduce all hree Cases. In every simulaion we consider

15 6 NUMERICAL SIMULATIONS agens, whose iniial bequess are drawn by a log-normal disribuion wih mean equal o and sandard deviaion equal o 1 on he log scale. 1 For every simulaion we consider 50 periods, which appears a sufficien number o reach he long-run equilibrium. Finally, for each case we perform 0 simulaions wih a differen iniial disribuion in order o check ha disribuion dynamics is ergodic. Table 1 repors some descripive saisics of hree configuraion of parameers corresponding o he hree cases (b and sd b are respecively he average of he means and of he sandard deviaions of he 0 disribuions resuling from he 0 simulaions). x Case b (0) sd b (0) b LRE sd LRE b (θr) LRE ( β WL,β EB,β EL) (0.0, 0, 0.80) (0.70, 0.9, 0) (0.44, 0.54, 0.013) Table 1: Numerical simulaions of he hree cases We find a confirmaion of he resul of our Proposiions -5. I is o remark ha he maximum long-run wealh is relaed o Case 3, and no o Case 1 where x is he lowes. This resul is explained in he zero level of ineres rae, which does no allow he riches agens o ge an adequae reurn of heir wealh. However a oo high ineres rae, as in Case, makes for many alened bu poor agens no convenien o become an enrepreneur and herefore hur he average wealh. This sugges ha he relaionship beween average wealh and real ineres rae has an invered-u shape. Taking as saring poin we ake Case 3 and we analyse how changes in s affecs he resuls. In Table we repor he resul of simulaions (for compuaional convenience we limi o simulaions for each configuraion of parameers). 1 Simulaions are made by R. Codes are available on wwwdse.ec.unipi.i/fiaschi/workingpapers.hm. 15

16 7 CONCLUSIONS x σ Case b (0) sd b (0) b LRE sd LRE b (θr) LRE ( β WL,β EB,β EL) (0.4, 0.57, 0.01) (0.4, 0.56, 0.01) (0.44, 0.54, 0.01) (0.48, 0.51, 0.01) (0.5, 0.47, 0.01) (0.57, 0.4, 0.01) (0.64, 0.36, 0.001) Table : Numerical simulaions for differen levels of efficiency of he financial secor These resuls broadly suppor our inuiions: an increase in σ (a decrease in he efficiency of he financial secor) increases he equilibrium real ineres rae θr and decrease he lon-run average wealh (a change in σ from 0 o 0.5 decreases b of almos 10%). This is caused by a change in he occupaional shares, where workers share is increasing while enrepreneurs share is decreasing. 7 Conclusions We presened an OLG model wih heerogeneous alruisic agens, money and credi in order o invesigae he relaion beween financial secor and he firs and higher momens of he disribuion of wealh. The occupaional choice made by agens, ha differ from one anoher in alens and wealh, make he real ineres rae and he disribuion of wealh (is mean, variance, suppor) depending on he efficiency of he financial secor and on he money sock and on he rae of money growh. For any given real ineres rae, an increase in he efficiency of he financial secor makes lending aciviy more aracive. In oher words, for any given ineres rae he enrepreneurial share of he populaion decreases. On he oher hand, for any given composiion of populaion by occupaion, he available pool of loanable funds increase. This lower he equilibrium real ineres rae ha changes he composiion of he populaion increasing he enrepreneurial share and increasing he liquidiy consrained share of populaion (since EL lower heir accumulaion). The ne effec on he composiion of he populaion depends on which effec prevails. The higher he share of populaion wih liquidiy consrains and he lower he average (and he aggregae) wealh, he more he scale effec prevails. Money is no neural bu affecs he real secor via he occupaional choice and he 16

17 REFERENCES REFERENCES consequenly real ineres rae ha clears he credi marke. The higher he growh rae of money, he higher (lower) he inflaion (real ineres) rae. Equivalenly he higher he money sock he lower, for any given inflaion rae, he equilibrium noal ineres rae. In urn, his implies a lower share of he populaion wih liquidiy consrains and herefore an increase in he enrepreneurial share of he populaion and in he average wealh. Moneary policy is amplified by financial markes efficiency since money is supplied o he agens via he financial secor. References Gerler, M. (1988) Financial Srucure and Aggregae Economic Aciviy: Overview. Journal of Money, Credi and Banking, 0, an Levine, R. (1997). Financial Developmen and Economic Growh: Agenda. Journal of Economic Lieraure, 35, Views and Longarei, R., D. Delli Gai, (005). Moneary policy and he Disribuion of Wealh in OLG Economy wih Heerogeneous Agens, Money and Bequess, in The Complex Dynamics of Economic Ineracion (Gallegai, M, Kirman, A., Marsili, M. eds). Springer. Pagano, M. (1993). Financial Markes and Growh: an Overview. European Economic Review, 37,

18 B PROOF OF PROPOSITION Appendix A Calculaions of he equilibrium real ineres rae in Eq. (15) From he equilibrium of credi marke we ge: α LC ) ( σb LC ) x ] + σr ( ρ EL +1θ +1 x b = [ x σ α LC b LC + x (1 α LC ) [ (1 σ) b α LC b LC x ( 1 α LC) ] + h [ ] + x σ α LC b LC + x (1 α LC ) ( ) α LC x b LC + [ ], x σ α LC b LC + x (1 α LC ) which ogeher wih Eq. (8) leads o Eq. (15). B Proof of Proposiion If w > x hen for every iniial disribuion of resource he long-run disribuion will be such ha b > x. In his case he whole populaion in he long-run equilibrium is self financed, i.e. α LC = 0. In he credi marke he demand for credi is zero, bu supply is posiive, so ha he equilibrium real ineres rae (θr) is zero. Given ha (θr) = 0 we have ha β WL = ρ EL = w and β EL = 1 ρ EL = 1 w. From Proposiion 1 i is sraighforward o calculae: bwl = w; ( ) 1 + w bel = ; b LRE = (1 + w ), since ρ EL = (1 + w)/ (EL agens are uniformely disribued in he range [w, 1]). QED 18

19 C PROOF OF PROPOSITION 3 C Proof of Proposiion 3 A necessary and sufficien condiion o have zero EL agens is ha even he mos alened agen has a long-run beques lower han x, i.e: bel (ρ i = 1) x. This leads o he condiion in he proposiion. The syem of equaions is derived by Eqq. (15), (10)-(1), ()-(5) once we se β EL = 0, α LC = 1, b LC = b LRE, b = and β WL is idenified by he level of alen of he marginal individual being indifferen beween becog WL or EB (in Figure 5 indicaed by ρ ), i.e.: [w + (1 σ)h(θr) LRE] = 1 (1 σ) (θr) LRE [β WL + (1 σ) h (θr) LRE x (θr) LRE]. 1 (θr) LRE Finally, given he mass of EB agens equal o 1 β WL, he average alen is given by (EB agens are uniformerly disribued in in range [ β WL, 1 ] ): b WL ρ EB = 1 + βwl. Therefore (θr) LRE, b WL, b EB, b LRE, β WL and β EB are he soluion of he following sysem: (θ +1 R +1 ) LRE = bwl = [( x b LRE) (1 σ)h w ( x σ b LRE)] ( x σ blre )[ (1 σ)x σ ( x b WL)( σ b LRE x )] [w + (1 σ)h(θr) LRE] ; 1 (1 σ) (θr) LRE blre = β WL bwl + (1 b WL ) b EB ; [ 1+β WL + (1 σ) h (θr) LRE x (θr) LRE] beb = ; 1 (θr) LRE β WL = [(θr) LRE] w + [x w] (θr) LRE (1 σ) (x + σh) ; 1 (1 σ) (θr) LRE β EB = 1 β WL ; blre = β WL bwl + β EB beb. QED 19

20 D PROOF OF PROPOSITION 5 D Proof of Proposiion 5 The condiion of Case 3 direcly follows as inermediae case beween Case 1 and Case. Wih he help of Figure 5 we see ha he mass of EL agens β EL is equal o 1 ρ, where ρ is he imum level of alen which allows an agen o be a EL, i.e. from Eq. (10) ρ : [ ρ + (1 σ) (h x) (θr) LRE] = x. 1 (1 σ) (θr) LRE Therefore: β EL = 1 ρ = [ 1 + (1 σ)h(θr) LRE] x. 1 γ From Eq. (10) i is possible o ge α LC : α LC = x [w + (1 σ) (h + x) (θr) LRE] [1 w (1 σ)x(θr) LRE]. Again wih he help of Figure 5 we see ha he mass of EB agens β EB is equal o ρ ρ, where ρ is he imum alen which is convenien o be an (borrower) enrepreneur insead of a worker. In paricular from Eqq. (4) and (): ρ : [ρ + (1 σ)h(θr) LRE x (θr) LRE] = 1 (θr) LRE [w + (1 σ)h(θr) LRE], 1 (1 σ) (θr) LRE ha is: ρ = [w + (1 σ)h(θr) LRE][ 1 (θr) LRE] [1 (1 σ) (θr) LRE] +[x (1 σ)h] (θr)lre. Finally β WL = ρ. Therefore i is easy o calculae he average alen of EB and EL agens, i.e.: ρ EL = 1 + ρ and ρ EB ρ + ρ =. 0

21 D PROOF OF PROPOSITION 5 From Eqq. () and (4) he average wealh/beques of (possible) liquidiy consrained agens is given by: [ ( ) b LC ρ w + (1 σ)h(θr) LRE] = + ρ 1 (1 σ) (θr) LRE [ ( ) ρ ρ ( ρ ) + ρ / + (1 σ)h(θr) LRE x (θr) LRE] +, ρ 1 (θr) LRE while from Eqq. ()-(5) we ge he long-run equilibrium level of wealh/beques: ρ [w + (1 σ)h(θr) LRE] blre = + 1 (1 σ) (θr) LRE (1 ρ) [(1 + ρ)/ + (1 σ) (h x) (θr) LRE] (1 σ) (θr) LRE ( ρ ) ρ [ ( ρ ) + ρ / + (1 σ)h(θr) LRE x (θr) LRE] 1 (θr) LRE. Finally he equilibrium ineres rae is equal o: (θr) LRE = ( (1 σ)x α LC σ x b WL) ( ) σb LC x α (x LC b LC) (1 σ)[ blre α LC b LC x ( 1 α LC) ] + h [ ] w x σ α LC b LC + x (1 α LC ), where: QED b WL = [w + (1 σ)h(θr) LRE]. 1 (1 σ) (θr) LRE 1

Cooperative Ph.D. Program in School of Economic Sciences and Finance QUALIFYING EXAMINATION IN MACROECONOMICS. August 8, :45 a.m. to 1:00 p.m.

Cooperative Ph.D. Program in School of Economic Sciences and Finance QUALIFYING EXAMINATION IN MACROECONOMICS. August 8, :45 a.m. to 1:00 p.m. Cooperaive Ph.D. Program in School of Economic Sciences and Finance QUALIFYING EXAMINATION IN MACROECONOMICS Augus 8, 213 8:45 a.m. o 1: p.m. THERE ARE FIVE QUESTIONS ANSWER ANY FOUR OUT OF FIVE PROBLEMS.

More information

A Dynamic Model of Economic Fluctuations

A Dynamic Model of Economic Fluctuations CHAPTER 15 A Dynamic Model of Economic Flucuaions Modified for ECON 2204 by Bob Murphy 2016 Worh Publishers, all righs reserved IN THIS CHAPTER, OU WILL LEARN: how o incorporae dynamics ino he AD-AS model

More information

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems

Essential Microeconomics : OPTIMAL CONTROL 1. Consider the following class of optimization problems Essenial Microeconomics -- 6.5: OPIMAL CONROL Consider he following class of opimizaion problems Max{ U( k, x) + U+ ( k+ ) k+ k F( k, x)}. { x, k+ } = In he language of conrol heory, he vecor k is he vecor

More information

E β t log (C t ) + M t M t 1. = Y t + B t 1 P t. B t 0 (3) v t = P tc t M t Question 1. Find the FOC s for an optimum in the agent s problem.

E β t log (C t ) + M t M t 1. = Y t + B t 1 P t. B t 0 (3) v t = P tc t M t Question 1. Find the FOC s for an optimum in the agent s problem. Noes, M. Krause.. Problem Se 9: Exercise on FTPL Same model as in paper and lecure, only ha one-period govenmen bonds are replaced by consols, which are bonds ha pay one dollar forever. I has curren marke

More information

Lecture Notes 3: Quantitative Analysis in DSGE Models: New Keynesian Model

Lecture Notes 3: Quantitative Analysis in DSGE Models: New Keynesian Model Lecure Noes 3: Quaniaive Analysis in DSGE Models: New Keynesian Model Zhiwei Xu, Email: xuzhiwei@sju.edu.cn The moneary policy plays lile role in he basic moneary model wihou price sickiness. We now urn

More information

A Note on Raising the Mandatory Retirement Age and. Its Effect on Long-run Income and Pay As You Go (PAYG) Pensions

A Note on Raising the Mandatory Retirement Age and. Its Effect on Long-run Income and Pay As You Go (PAYG) Pensions The Sociey for Economic Sudies The Universiy of Kiakyushu Working Paper Series No.2017-5 (acceped in March, 2018) A Noe on Raising he Mandaory Reiremen Age and Is Effec on Long-run Income and Pay As You

More information

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims

Problem Set 5. Graduate Macro II, Spring 2017 The University of Notre Dame Professor Sims Problem Se 5 Graduae Macro II, Spring 2017 The Universiy of Nore Dame Professor Sims Insrucions: You may consul wih oher members of he class, bu please make sure o urn in your own work. Where applicable,

More information

Final Exam Advanced Macroeconomics I

Final Exam Advanced Macroeconomics I Advanced Macroeconomics I WS 00/ Final Exam Advanced Macroeconomics I February 8, 0 Quesion (5%) An economy produces oupu according o α α Y = K (AL) of which a fracion s is invesed. echnology A is exogenous

More information

Macroeconomic Theory Ph.D. Qualifying Examination Fall 2005 ANSWER EACH PART IN A SEPARATE BLUE BOOK. PART ONE: ANSWER IN BOOK 1 WEIGHT 1/3

Macroeconomic Theory Ph.D. Qualifying Examination Fall 2005 ANSWER EACH PART IN A SEPARATE BLUE BOOK. PART ONE: ANSWER IN BOOK 1 WEIGHT 1/3 Macroeconomic Theory Ph.D. Qualifying Examinaion Fall 2005 Comprehensive Examinaion UCLA Dep. of Economics You have 4 hours o complee he exam. There are hree pars o he exam. Answer all pars. Each par has

More information

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015

Explaining Total Factor Productivity. Ulrich Kohli University of Geneva December 2015 Explaining Toal Facor Produciviy Ulrich Kohli Universiy of Geneva December 2015 Needed: A Theory of Toal Facor Produciviy Edward C. Presco (1998) 2 1. Inroducion Toal Facor Produciviy (TFP) has become

More information

1 Answers to Final Exam, ECN 200E, Spring

1 Answers to Final Exam, ECN 200E, Spring 1 Answers o Final Exam, ECN 200E, Spring 2004 1. A good answer would include he following elemens: The equiy premium puzzle demonsraed ha wih sandard (i.e ime separable and consan relaive risk aversion)

More information

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon

3.1.3 INTRODUCTION TO DYNAMIC OPTIMIZATION: DISCRETE TIME PROBLEMS. A. The Hamiltonian and First-Order Conditions in a Finite Time Horizon 3..3 INRODUCION O DYNAMIC OPIMIZAION: DISCREE IME PROBLEMS A. he Hamilonian and Firs-Order Condiions in a Finie ime Horizon Define a new funcion, he Hamilonian funcion, H. H he change in he oal value of

More information

T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 2011 EXAMINATION

T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 2011 EXAMINATION ECON 841 T. J. HOLMES AND T. J. KEHOE INTERNATIONAL TRADE AND PAYMENTS THEORY FALL 211 EXAMINATION This exam has wo pars. Each par has wo quesions. Please answer one of he wo quesions in each par for a

More information

Expert Advice for Amateurs

Expert Advice for Amateurs Exper Advice for Amaeurs Ernes K. Lai Online Appendix - Exisence of Equilibria The analysis in his secion is performed under more general payoff funcions. Wihou aking an explici form, he payoffs of he

More information

Vehicle Arrival Models : Headway

Vehicle Arrival Models : Headway Chaper 12 Vehicle Arrival Models : Headway 12.1 Inroducion Modelling arrival of vehicle a secion of road is an imporan sep in raffic flow modelling. I has imporan applicaion in raffic flow simulaion where

More information

Lecture Notes 5: Investment

Lecture Notes 5: Investment Lecure Noes 5: Invesmen Zhiwei Xu (xuzhiwei@sju.edu.cn) Invesmen decisions made by rms are one of he mos imporan behaviors in he economy. As he invesmen deermines how he capials accumulae along he ime,

More information

1. Consider a pure-exchange economy with stochastic endowments. The state of the economy

1. Consider a pure-exchange economy with stochastic endowments. The state of the economy Answer 4 of he following 5 quesions. 1. Consider a pure-exchange economy wih sochasic endowmens. The sae of he economy in period, 0,1,..., is he hisory of evens s ( s0, s1,..., s ). The iniial sae is given.

More information

1 Consumption and Risky Assets

1 Consumption and Risky Assets Soluions o Problem Se 8 Econ 0A - nd Half - Fall 011 Prof David Romer, GSI: Vicoria Vanasco 1 Consumpion and Risky Asses Consumer's lifeime uiliy: U = u(c 1 )+E[u(c )] Income: Y 1 = Ȳ cerain and Y F (

More information

Economics 8105 Macroeconomic Theory Recitation 6

Economics 8105 Macroeconomic Theory Recitation 6 Economics 8105 Macroeconomic Theory Reciaion 6 Conor Ryan Ocober 11h, 2016 Ouline: Opimal Taxaion wih Governmen Invesmen 1 Governmen Expendiure in Producion In hese noes we will examine a model in which

More information

Solutions to Odd Number Exercises in Chapter 6

Solutions to Odd Number Exercises in Chapter 6 1 Soluions o Odd Number Exercises in 6.1 R y eˆ 1.7151 y 6.3 From eˆ ( T K) ˆ R 1 1 SST SST SST (1 R ) 55.36(1.7911) we have, ˆ 6.414 T K ( ) 6.5 y ye ye y e 1 1 Consider he erms e and xe b b x e y e b

More information

Problem Set #3: AK models

Problem Set #3: AK models Universiy of Warwick EC9A2 Advanced Macroeconomic Analysis Problem Se #3: AK models Jorge F. Chavez December 3, 2012 Problem 1 Consider a compeiive economy, in which he level of echnology, which is exernal

More information

20. Applications of the Genetic-Drift Model

20. Applications of the Genetic-Drift Model 0. Applicaions of he Geneic-Drif Model 1) Deermining he probabiliy of forming any paricular combinaion of genoypes in he nex generaion: Example: If he parenal allele frequencies are p 0 = 0.35 and q 0

More information

On the Role of Financial Frictions and the Saving Rate during Trade Liberalizations

On the Role of Financial Frictions and the Saving Rate during Trade Liberalizations On he Role of Financial Fricions and he Saving Rae during Trade Liberalizaions Pol Anràs and Ricardo Caballero Harvard & MIT Augus 2009 Anràs and Caballero (Harvard & MIT) Financial Fricions and Trade

More information

The general Solow model

The general Solow model The general Solow model Back o a closed economy In he basic Solow model: no growh in GDP per worker in seady sae This conradics he empirics for he Wesern world (sylized fac #5) In he general Solow model:

More information

Economics 6130 Cornell University Fall 2016 Macroeconomics, I - Part 2

Economics 6130 Cornell University Fall 2016 Macroeconomics, I - Part 2 Economics 6130 Cornell Universiy Fall 016 Macroeconomics, I - Par Problem Se # Soluions 1 Overlapping Generaions Consider he following OLG economy: -period lives. 1 commodiy per period, l = 1. Saionary

More information

A Note on Public Debt, Tax-Exempt Bonds, and Ponzi Games

A Note on Public Debt, Tax-Exempt Bonds, and Ponzi Games WP/07/162 A Noe on Public Deb, Tax-Exemp Bonds, and Ponzi Games Berhold U Wigger 2007 Inernaional Moneary Fund WP/07/162 IMF Working Paper Fiscal Affairs Deparmen A Noe on Public Deb, Tax-Exemp Bonds,

More information

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS

UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS UNIVERSITY OF OSLO DEPARTMENT OF ECONOMICS Exam: ECON4325 Moneary Policy Dae of exam: Tuesday, May 24, 206 Grades are given: June 4, 206 Time for exam: 2.30 p.m. 5.30 p.m. The problem se covers 5 pages

More information

This document was generated at 7:34 PM, 07/27/09 Copyright 2009 Richard T. Woodward

This document was generated at 7:34 PM, 07/27/09 Copyright 2009 Richard T. Woodward his documen was generaed a 7:34 PM, 07/27/09 Copyrigh 2009 Richard. Woodward 15. Bang-bang and mos rapid approach problems AGEC 637 - Summer 2009 here are some problems for which he opimal pah does no

More information

Examples of Dynamic Programming Problems

Examples of Dynamic Programming Problems M.I.T. 5.450-Fall 00 Sloan School of Managemen Professor Leonid Kogan Examples of Dynamic Programming Problems Problem A given quaniy X of a single resource is o be allocaed opimally among N producion

More information

Seminar 4: Hotelling 2

Seminar 4: Hotelling 2 Seminar 4: Hoelling 2 November 3, 211 1 Exercise Par 1 Iso-elasic demand A non renewable resource of a known sock S can be exraced a zero cos. Demand for he resource is of he form: D(p ) = p ε ε > A a

More information

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes

23.2. Representing Periodic Functions by Fourier Series. Introduction. Prerequisites. Learning Outcomes Represening Periodic Funcions by Fourier Series 3. Inroducion In his Secion we show how a periodic funcion can be expressed as a series of sines and cosines. We begin by obaining some sandard inegrals

More information

( ) (, ) F K L = F, Y K N N N N. 8. Economic growth 8.1. Production function: Capital as production factor

( ) (, ) F K L = F, Y K N N N N. 8. Economic growth 8.1. Production function: Capital as production factor 8. Economic growh 8.. Producion funcion: Capial as producion facor Y = α N Y (, ) = F K N Diminishing marginal produciviy of capial and labor: (, ) F K L F K 2 ( K, L) K 2 (, ) F K L F L 2 ( K, L) L 2

More information

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature

On Measuring Pro-Poor Growth. 1. On Various Ways of Measuring Pro-Poor Growth: A Short Review of the Literature On Measuring Pro-Poor Growh 1. On Various Ways of Measuring Pro-Poor Growh: A Shor eview of he Lieraure During he pas en years or so here have been various suggesions concerning he way one should check

More information

Final Exam. Tuesday, December hours

Final Exam. Tuesday, December hours San Francisco Sae Universiy Michael Bar ECON 560 Fall 03 Final Exam Tuesday, December 7 hours Name: Insrucions. This is closed book, closed noes exam.. No calculaors of any kind are allowed. 3. Show all

More information

The Brock-Mirman Stochastic Growth Model

The Brock-Mirman Stochastic Growth Model c December 3, 208, Chrisopher D. Carroll BrockMirman The Brock-Mirman Sochasic Growh Model Brock and Mirman (972) provided he firs opimizing growh model wih unpredicable (sochasic) shocks. The social planner

More information

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 6 SECTION 6.1: LIFE CYCLE CONSUMPTION AND WEALTH T 1. . Let ct. ) is a strictly concave function of c

ANSWERS TO EVEN NUMBERED EXERCISES IN CHAPTER 6 SECTION 6.1: LIFE CYCLE CONSUMPTION AND WEALTH T 1. . Let ct. ) is a strictly concave function of c John Riley December 00 S O EVEN NUMBERED EXERCISES IN CHAPER 6 SECION 6: LIFE CYCLE CONSUMPION AND WEALH Eercise 6-: Opimal saving wih more han one commodiy A consumer has a period uiliy funcion δ u (

More information

Introduction D P. r = constant discount rate, g = Gordon Model (1962): constant dividend growth rate.

Introduction D P. r = constant discount rate, g = Gordon Model (1962): constant dividend growth rate. Inroducion Gordon Model (1962): D P = r g r = consan discoun rae, g = consan dividend growh rae. If raional expecaions of fuure discoun raes and dividend growh vary over ime, so should he D/P raio. Since

More information

Online Appendix to Solution Methods for Models with Rare Disasters

Online Appendix to Solution Methods for Models with Rare Disasters Online Appendix o Soluion Mehods for Models wih Rare Disasers Jesús Fernández-Villaverde and Oren Levinal In his Online Appendix, we presen he Euler condiions of he model, we develop he pricing Calvo block,

More information

Solutions Problem Set 3 Macro II (14.452)

Solutions Problem Set 3 Macro II (14.452) Soluions Problem Se 3 Macro II (14.452) Francisco A. Gallego 04/27/2005 1 Q heory of invesmen in coninuous ime and no uncerainy Consider he in nie horizon model of a rm facing adjusmen coss o invesmen.

More information

Econ107 Applied Econometrics Topic 7: Multicollinearity (Studenmund, Chapter 8)

Econ107 Applied Econometrics Topic 7: Multicollinearity (Studenmund, Chapter 8) I. Definiions and Problems A. Perfec Mulicollineariy Econ7 Applied Economerics Topic 7: Mulicollineariy (Sudenmund, Chaper 8) Definiion: Perfec mulicollineariy exiss in a following K-variable regression

More information

Problem 1 / 25 Problem 2 / 20 Problem 3 / 10 Problem 4 / 15 Problem 5 / 30 TOTAL / 100

Problem 1 / 25 Problem 2 / 20 Problem 3 / 10 Problem 4 / 15 Problem 5 / 30 TOTAL / 100 eparmen of Applied Economics Johns Hopkins Universiy Economics 602 Macroeconomic Theory and Policy Miderm Exam Suggesed Soluions Professor Sanjay hugh Fall 2008 NAME: The Exam has a oal of five (5) problems

More information

Problem set 3: Endogenous Innovation - Solutions

Problem set 3: Endogenous Innovation - Solutions Problem se 3: Endogenous Innovaion - Soluions Loïc Baé Ocober 25, 22 Opimaliy in he R & D based endogenous growh model Imporan feaure of his model: he monopoly markup is exogenous, so ha here is no need

More information

MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 2011 BUILDING THE EQUILIBRIUM. p = 1. Dixit-Stiglitz Model

MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 2011 BUILDING THE EQUILIBRIUM. p = 1. Dixit-Stiglitz Model MONOPOLISTIC COMPETITION IN A DSGE MODEL: PART II OCTOBER 4, 211 Dixi-Sigliz Model BUILDING THE EQUILIBRIUM DS MODEL I or II Puing hings ogeher impose symmery across all i 1 pzf k( k, n) = r & 1 pzf n(

More information

Lecture 3: Solow Model II Handout

Lecture 3: Solow Model II Handout Economics 202a, Fall 1998 Lecure 3: Solow Model II Handou Basics: Y = F(K,A ) da d d d dk d = ga = n = sy K The model soluion, for he general producion funcion y =ƒ(k ): dk d = sƒ(k ) (n + g + )k y* =

More information

ACE 562 Fall Lecture 5: The Simple Linear Regression Model: Sampling Properties of the Least Squares Estimators. by Professor Scott H.

ACE 562 Fall Lecture 5: The Simple Linear Regression Model: Sampling Properties of the Least Squares Estimators. by Professor Scott H. ACE 56 Fall 005 Lecure 5: he Simple Linear Regression Model: Sampling Properies of he Leas Squares Esimaors by Professor Sco H. Irwin Required Reading: Griffihs, Hill and Judge. "Inference in he Simple

More information

10. State Space Methods

10. State Space Methods . Sae Space Mehods. Inroducion Sae space modelling was briefly inroduced in chaper. Here more coverage is provided of sae space mehods before some of heir uses in conrol sysem design are covered in he

More information

Economic Growth & Development: Part 4 Vertical Innovation Models. By Kiminori Matsuyama. Updated on , 11:01:54 AM

Economic Growth & Development: Part 4 Vertical Innovation Models. By Kiminori Matsuyama. Updated on , 11:01:54 AM Economic Growh & Developmen: Par 4 Verical Innovaion Models By Kiminori Masuyama Updaed on 20-04-4 :0:54 AM Page of 7 Inroducion In he previous models R&D develops producs ha are new ie imperfec subsiues

More information

SOLUTIONS TO ECE 3084

SOLUTIONS TO ECE 3084 SOLUTIONS TO ECE 384 PROBLEM 2.. For each sysem below, specify wheher or no i is: (i) memoryless; (ii) causal; (iii) inverible; (iv) linear; (v) ime invarian; Explain your reasoning. If he propery is no

More information

Methodology. -ratios are biased and that the appropriate critical values have to be increased by an amount. that depends on the sample size.

Methodology. -ratios are biased and that the appropriate critical values have to be increased by an amount. that depends on the sample size. Mehodology. Uni Roo Tess A ime series is inegraed when i has a mean revering propery and a finie variance. I is only emporarily ou of equilibrium and is called saionary in I(0). However a ime series ha

More information

Suggested Solutions to Assignment 4 (REQUIRED) Submisson Deadline and Location: March 27 in Class

Suggested Solutions to Assignment 4 (REQUIRED) Submisson Deadline and Location: March 27 in Class EC 450 Advanced Macroeconomics Insrucor: Sharif F Khan Deparmen of Economics Wilfrid Laurier Universiy Winer 2008 Suggesed Soluions o Assignmen 4 (REQUIRED) Submisson Deadline and Locaion: March 27 in

More information

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions

Inventory Analysis and Management. Multi-Period Stochastic Models: Optimality of (s, S) Policy for K-Convex Objective Functions Muli-Period Sochasic Models: Opimali of (s, S) Polic for -Convex Objecive Funcions Consider a seing similar o he N-sage newsvendor problem excep ha now here is a fixed re-ordering cos (> 0) for each (re-)order.

More information

Problem Set #1 - Answers

Problem Set #1 - Answers Fall Term 24 Page of 7. Use indifference curves and a curved ransformaion curve o illusrae a free rade equilibrium for a counry facing an exogenous inernaional price. Then show wha happens if ha exogenous

More information

Let us start with a two dimensional case. We consider a vector ( x,

Let us start with a two dimensional case. We consider a vector ( x, Roaion marices We consider now roaion marices in wo and hree dimensions. We sar wih wo dimensions since wo dimensions are easier han hree o undersand, and one dimension is a lile oo simple. However, our

More information

FINM 6900 Finance Theory

FINM 6900 Finance Theory FINM 6900 Finance Theory Universiy of Queensland Lecure Noe 4 The Lucas Model 1. Inroducion In his lecure we consider a simple endowmen economy in which an unspecified number of raional invesors rade asses

More information

Macroeconomics I, UPF Professor Antonio Ciccone SOLUTIONS PROBLEM SET 1

Macroeconomics I, UPF Professor Antonio Ciccone SOLUTIONS PROBLEM SET 1 Macroeconomics I, UPF Professor Anonio Ciccone SOUTIONS PROBEM SET. (from Romer Advanced Macroeconomics Chaper ) Basic properies of growh raes which will be used over and over again. Use he fac ha he growh

More information

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux

Guest Lectures for Dr. MacFarlane s EE3350 Part Deux Gues Lecures for Dr. MacFarlane s EE3350 Par Deux Michael Plane Mon., 08-30-2010 Wrie name in corner. Poin ou his is a review, so I will go faser. Remind hem o go lisen o online lecure abou geing an A

More information

Public Funding of Higher Education. By Jean-Marie Viaene and Itzhak Zilcha

Public Funding of Higher Education. By Jean-Marie Viaene and Itzhak Zilcha Public Funding of Higher Educaion By Jean-Marie Viaene and Izhak Zilcha Main Issues In a hierarchical educaion sysem financed by axes should he governmen subsidize higher educaion? Under free inernaional

More information

18 Biological models with discrete time

18 Biological models with discrete time 8 Biological models wih discree ime The mos imporan applicaions, however, may be pedagogical. The elegan body of mahemaical heory peraining o linear sysems (Fourier analysis, orhogonal funcions, and so

More information

Child Labor and Economic Development

Child Labor and Economic Development Child Labor and Economic Developmen Ambar Ghosh Cenre for Economic Sudies, Presidency College, Kolkaa.. Chandana Ghosh* Economic Research Uni, Indian Saisical Insiue, Kolkaa. Absrac The paper develops

More information

14 Autoregressive Moving Average Models

14 Autoregressive Moving Average Models 14 Auoregressive Moving Average Models In his chaper an imporan parameric family of saionary ime series is inroduced, he family of he auoregressive moving average, or ARMA, processes. For a large class

More information

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still.

Lecture 2-1 Kinematics in One Dimension Displacement, Velocity and Acceleration Everything in the world is moving. Nothing stays still. Lecure - Kinemaics in One Dimension Displacemen, Velociy and Acceleraion Everyhing in he world is moving. Nohing says sill. Moion occurs a all scales of he universe, saring from he moion of elecrons in

More information

Liquidity and Bank Capital Requirements

Liquidity and Bank Capital Requirements Liquidiy and Bank Capial Requiremens Hajime Tomura Bank of Canada November 3, 2009 Preliminary draf Absrac A dynamic compeiive equilibrium model in his paper incorporaes illiquidiy of asses due o asymmeric

More information

Rational Bubbles in Non-Linear Business Cycle Models. Robert Kollmann Université Libre de Bruxelles & CEPR

Rational Bubbles in Non-Linear Business Cycle Models. Robert Kollmann Université Libre de Bruxelles & CEPR Raional Bubbles in Non-Linear Business Cycle Models Rober Kollmann Universié Libre de Bruxelles & CEPR April 9, 209 Main resul: non-linear DSGE models have more saionary equilibria han you hink! Blanchard

More information

Robust estimation based on the first- and third-moment restrictions of the power transformation model

Robust estimation based on the first- and third-moment restrictions of the power transformation model h Inernaional Congress on Modelling and Simulaion, Adelaide, Ausralia, 6 December 3 www.mssanz.org.au/modsim3 Robus esimaion based on he firs- and hird-momen resricions of he power ransformaion Nawaa,

More information

Intermediate Macro In-Class Problems

Intermediate Macro In-Class Problems Inermediae Macro In-Class Problems Exploring Romer Model June 14, 016 Today we will explore he mechanisms of he simply Romer model by exploring how economies described by his model would reac o exogenous

More information

Comparing Means: t-tests for One Sample & Two Related Samples

Comparing Means: t-tests for One Sample & Two Related Samples Comparing Means: -Tess for One Sample & Two Relaed Samples Using he z-tes: Assumpions -Tess for One Sample & Two Relaed Samples The z-es (of a sample mean agains a populaion mean) is based on he assumpion

More information

ACE 564 Spring Lecture 7. Extensions of The Multiple Regression Model: Dummy Independent Variables. by Professor Scott H.

ACE 564 Spring Lecture 7. Extensions of The Multiple Regression Model: Dummy Independent Variables. by Professor Scott H. ACE 564 Spring 2006 Lecure 7 Exensions of The Muliple Regression Model: Dumm Independen Variables b Professor Sco H. Irwin Readings: Griffihs, Hill and Judge. "Dumm Variables and Varing Coefficien Models

More information

Policy regimes Theory

Policy regimes Theory Advanced Moneary Theory and Policy EPOS 2012/13 Policy regimes Theory Giovanni Di Barolomeo giovanni.dibarolomeo@uniroma1.i The moneary policy regime The simple model: x = - s (i - p e ) + x e + e D p

More information

STATE-SPACE MODELLING. A mass balance across the tank gives:

STATE-SPACE MODELLING. A mass balance across the tank gives: B. Lennox and N.F. Thornhill, 9, Sae Space Modelling, IChemE Process Managemen and Conrol Subjec Group Newsleer STE-SPACE MODELLING Inroducion: Over he pas decade or so here has been an ever increasing

More information

Final Spring 2007

Final Spring 2007 .615 Final Spring 7 Overview The purpose of he final exam is o calculae he MHD β limi in a high-bea oroidal okamak agains he dangerous n = 1 exernal ballooning-kink mode. Effecively, his corresponds o

More information

Introduction to choice over time

Introduction to choice over time Microeconomic Theory -- Choice over ime Inroducion o choice over ime Individual choice Income and subsiuion effecs 7 Walrasian equilibrium ineres rae 9 pages John Riley Ocober 9, 08 Microeconomic Theory

More information

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17

Designing Information Devices and Systems I Spring 2019 Lecture Notes Note 17 EES 16A Designing Informaion Devices and Sysems I Spring 019 Lecure Noes Noe 17 17.1 apaciive ouchscreen In he las noe, we saw ha a capacior consiss of wo pieces on conducive maerial separaed by a nonconducive

More information

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively:

( ) a system of differential equations with continuous parametrization ( T = R + These look like, respectively: XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

More information

Inventory Control of Perishable Items in a Two-Echelon Supply Chain

Inventory Control of Perishable Items in a Two-Echelon Supply Chain Journal of Indusrial Engineering, Universiy of ehran, Special Issue,, PP. 69-77 69 Invenory Conrol of Perishable Iems in a wo-echelon Supply Chain Fariborz Jolai *, Elmira Gheisariha and Farnaz Nojavan

More information

Supplementary Materials for Asset Bubbles, Collateral, and Policy Analysis

Supplementary Materials for Asset Bubbles, Collateral, and Policy Analysis Supplemenary Maerials for Asse Bubbles, Collaeral, and Policy Analysis Jianjun Miao Pengfei Wang y Jing hou z Augus 20, 205 Secion A provides proofs of all proposiions in he main ex. Secion B provides

More information

= ( ) ) or a system of differential equations with continuous parametrization (T = R

= ( ) ) or a system of differential equations with continuous parametrization (T = R XIII. DIFFERENCE AND DIFFERENTIAL EQUATIONS Ofen funcions, or a sysem of funcion, are paramerized in erms of some variable, usually denoed as and inerpreed as ime. The variable is wrien as a funcion of

More information

Linear Dynamic Models

Linear Dynamic Models Linear Dnamic Models and Forecasing Reference aricle: Ineracions beween he muliplier analsis and he principle of acceleraion Ouline. The sae space ssem as an approach o working wih ssems of difference

More information

pe pt dt = e pt Probabilty of death given survival till t : pe pt = p Expected life at t : pe(s t)p ds = e (s t)p t =

pe pt dt = e pt Probabilty of death given survival till t : pe pt = p Expected life at t : pe(s t)p ds = e (s t)p t = BLANCHARD Probabiliy of Deah: π () = pe p ; Probabily of living ill : Ω () = pe p d = e p Probabily of deah given survival ill : pe p = p e p Expeced life a : (s ) pe (s )p ds = p 1 Populaion normalized

More information

Midterm Exam. Macroeconomic Theory (ECON 8105) Larry Jones. Fall September 27th, Question 1: (55 points)

Midterm Exam. Macroeconomic Theory (ECON 8105) Larry Jones. Fall September 27th, Question 1: (55 points) Quesion 1: (55 poins) Macroeconomic Theory (ECON 8105) Larry Jones Fall 2016 Miderm Exam Sepember 27h, 2016 Consider an economy in which he represenaive consumer lives forever. There is a good in each

More information

Chapter 2. First Order Scalar Equations

Chapter 2. First Order Scalar Equations Chaper. Firs Order Scalar Equaions We sar our sudy of differenial equaions in he same way he pioneers in his field did. We show paricular echniques o solve paricular ypes of firs order differenial equaions.

More information

Lecture 20: Riccati Equations and Least Squares Feedback Control

Lecture 20: Riccati Equations and Least Squares Feedback Control 34-5 LINEAR SYSTEMS Lecure : Riccai Equaions and Leas Squares Feedback Conrol 5.6.4 Sae Feedback via Riccai Equaions A recursive approach in generaing he marix-valued funcion W ( ) equaion for i for he

More information

Full file at

Full file at Full file a hps://frasockeu SOLUTIONS TO CHAPTER 2 Problem 2 (a) The firm's problem is o choose he quaniies of capial, K, and effecive labor, AL, in order o minimize coss, wal + rk, subjec o he producion

More information

CHAPTER II THE BASICS OF INTERTEMPORAL GENERAL EQUILIBRIUM

CHAPTER II THE BASICS OF INTERTEMPORAL GENERAL EQUILIBRIUM file:chp2-v3.word6, 10/13/97 CHAPTER II THE BASICS OF INTERTEMPORAL GENERAL EQUILIBRIUM II.1 Inroducion The purpose of his chaper is o provide he concepual fundamenals of iner emporal general equilibrium

More information

Solutions from Chapter 9.1 and 9.2

Solutions from Chapter 9.1 and 9.2 Soluions from Chaper 9 and 92 Secion 9 Problem # This basically boils down o an exercise in he chain rule from calculus We are looking for soluions of he form: u( x) = f( k x c) where k x R 3 and k is

More information

Reserves measures have an economic component eg. what could be extracted at current prices?

Reserves measures have an economic component eg. what could be extracted at current prices? 3.2 Non-renewable esources A. Are socks of non-renewable resources fixed? eserves measures have an economic componen eg. wha could be exraced a curren prices? - Locaion and quaniies of reserves of resources

More information

1. An introduction to dynamic optimization -- Optimal Control and Dynamic Programming AGEC

1. An introduction to dynamic optimization -- Optimal Control and Dynamic Programming AGEC This documen was generaed a :45 PM 8/8/04 Copyrigh 04 Richard T. Woodward. An inroducion o dynamic opimizaion -- Opimal Conrol and Dynamic Programming AGEC 637-04 I. Overview of opimizaion Opimizaion is

More information

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle

Physics 235 Chapter 2. Chapter 2 Newtonian Mechanics Single Particle Chaper 2 Newonian Mechanics Single Paricle In his Chaper we will review wha Newon s laws of mechanics ell us abou he moion of a single paricle. Newon s laws are only valid in suiable reference frames,

More information

A User s Guide to Solving Real Business Cycle Models. by a single representative agent. It is assumed that both output and factor markets are

A User s Guide to Solving Real Business Cycle Models. by a single representative agent. It is assumed that both output and factor markets are page, Harley, Hoover, Salyer, RBC Models: A User s Guide A User s Guide o Solving Real Business Cycle Models The ypical real business cycle model is based upon an economy populaed by idenical infiniely-lived

More information

Educational Systems, Growth and Income Distribution: A Quantitative Study

Educational Systems, Growth and Income Distribution: A Quantitative Study Educaional Sysems, Growh and Income Disribuion: A Quaniaive Sudy Hung- ju Chen * Deparmen of Economics, Naional Taiwan Universiy, Hsu-Chou Road, Taipei 000, Taiwan Absrac This paper sudies how human capial

More information

R t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t

R t. C t P t. + u t. C t = αp t + βr t + v t. + β + w t Exercise 7 C P = α + β R P + u C = αp + βr + v (a) (b) C R = α P R + β + w (c) Assumpions abou he disurbances u, v, w : Classical assumions on he disurbance of one of he equaions, eg. on (b): E(v v s P,

More information

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities:

Math 2142 Exam 1 Review Problems. x 2 + f (0) 3! for the 3rd Taylor polynomial at x = 0. To calculate the various quantities: Mah 4 Eam Review Problems Problem. Calculae he 3rd Taylor polynomial for arcsin a =. Soluion. Le f() = arcsin. For his problem, we use he formula f() + f () + f ()! + f () 3! for he 3rd Taylor polynomial

More information

constant and variable capital

constant and variable capital 598 consan and variable capial consan and variable capial Definiion In Das Kapial Marx defined Consan Capial as ha par of capial advanced in he means of producion; he defined Variable Capial as he par

More information

MATHEMATICAL DESCRIPTION OF THEORETICAL METHODS OF RESERVE ECONOMY OF CONSIGNMENT STORES

MATHEMATICAL DESCRIPTION OF THEORETICAL METHODS OF RESERVE ECONOMY OF CONSIGNMENT STORES MAHEMAICAL DESCIPION OF HEOEICAL MEHODS OF ESEVE ECONOMY OF CONSIGNMEN SOES Péer elek, József Cselényi, György Demeer Universiy of Miskolc, Deparmen of Maerials Handling and Logisics Absrac: Opimizaion

More information

Predator - Prey Model Trajectories and the nonlinear conservation law

Predator - Prey Model Trajectories and the nonlinear conservation law Predaor - Prey Model Trajecories and he nonlinear conservaion law James K. Peerson Deparmen of Biological Sciences and Deparmen of Mahemaical Sciences Clemson Universiy Ocober 28, 213 Ouline Drawing Trajecories

More information

The Arcsine Distribution

The Arcsine Distribution The Arcsine Disribuion Chris H. Rycrof Ocober 6, 006 A common heme of he class has been ha he saisics of single walker are ofen very differen from hose of an ensemble of walkers. On he firs homework, we

More information

GMM - Generalized Method of Moments

GMM - Generalized Method of Moments GMM - Generalized Mehod of Momens Conens GMM esimaion, shor inroducion 2 GMM inuiion: Maching momens 2 3 General overview of GMM esimaion. 3 3. Weighing marix...........................................

More information

Linear Response Theory: The connection between QFT and experiments

Linear Response Theory: The connection between QFT and experiments Phys540.nb 39 3 Linear Response Theory: The connecion beween QFT and experimens 3.1. Basic conceps and ideas Q: How do we measure he conduciviy of a meal? A: we firs inroduce a weak elecric field E, and

More information

KINEMATICS IN ONE DIMENSION

KINEMATICS IN ONE DIMENSION KINEMATICS IN ONE DIMENSION PREVIEW Kinemaics is he sudy of how hings move how far (disance and displacemen), how fas (speed and velociy), and how fas ha how fas changes (acceleraion). We say ha an objec

More information

IMPLICIT AND INVERSE FUNCTION THEOREMS PAUL SCHRIMPF 1 OCTOBER 25, 2013

IMPLICIT AND INVERSE FUNCTION THEOREMS PAUL SCHRIMPF 1 OCTOBER 25, 2013 IMPLICI AND INVERSE FUNCION HEOREMS PAUL SCHRIMPF 1 OCOBER 25, 213 UNIVERSIY OF BRIISH COLUMBIA ECONOMICS 526 We have exensively sudied how o solve sysems of linear equaions. We know how o check wheher

More information

Robert Kollmann. 6 September 2017

Robert Kollmann. 6 September 2017 Appendix: Supplemenary maerial for Tracable Likelihood-Based Esimaion of Non- Linear DSGE Models Economics Leers (available online 6 Sepember 207) hp://dx.doi.org/0.06/j.econle.207.08.027 Rober Kollmann

More information