T he stated long-term goal of monetary

Size: px
Start display at page:

Download "T he stated long-term goal of monetary"

Transcription

1 JANUARY/FEBRUARY 999 Rober Dimar is a mahemaician and William T. Gavin is vice presiden and research coordinaor for he Federal Reserve Bank of S. Louis. Finn E. Kydland is a professor of economics a Carnegie Mellon Universiy and visiing scholar of he Federal Reserve Bank of S. Louis. Daniel R. Seiner provided research assisance. The Inflaion- Oupu Variabiliy Tradeoff and Price-Level Targes Rober Dimar, William T. Gavin, and Finn E. Kydland T he saed long-erm goal of moneary policy in he Unied Saes and around he world is price sabiliy. Eigh counries in he world now have explici arges for inflaion. Many more, including he Unied Saes, appear o operae as if hey have implici arges for inflaion. There is an ongoing debae abou how sricly one should ry o arge inflaion. The idea is ha if one ried o keep inflaion oo close o a arge, here would be a significan increase in he variabiliy of oupu and ineres raes. There is a suble bu imporan disincion o be made abou he difference beween argeing inflaion in he shor run (say, every monh) and argeing a paricular average inflaion rae over many monhs. By argeing a long-moving average of zero inflaion, or a horizonal price-level pah, he cenral bank would have an operaional arge for price sabiliy, bu would no be required o keep inflaion on an exac pah each monh or quarer. Objecions o price-level argeing usually assume ha any economic disurbance ha caused he price level o deviae from he arge would require he cenral bank o reac immediaely, and harshly, o ge he price level back on rack. Bu, here is no reason for his. Wheher argeing inflaion more closely in he long-run would lead o more or less shor-run variabiliy of inflaion and oupu depends on how he economy works and how he cenral bank runs moneary policy. By price-level argeing we mean ha he cenral bank announces a pah for he price level. I may be fla or i may be changing a a rae of x percen per year. For x 0, he price level pah will be horizonal. In any case, he noion of a price-level arge means ha he cenral bank will arge a long-run average inflaion rae, seing objecives ha correc for pas deviaions from he arge. Technically, we define a price-level-argeing regime as one in which he logarihm of he price level has a deerminisic rend. An inflaion-argeing regime is one in which he logarihm of he price level has a uni roo and follows a sochasic rend. Resuls in his paper apply o a price-level arge wheher he average inflaion rae is zero or no. Taylor (979) inroduced he idea of using he inflaion/oupu variabiliy radeoff o examine alernaive moneary policy rules. Using a raional expecaions model wih saggered wage conracs, he explained why he choice facing policymakers in a dynamic seing involves he radeoff beween oupu variabiliy and inflaion variabiliy. In his raional expecaions framework here is no long-run radeoff beween levels of oupu and inflaion. Policymakers can, however, choose alernaive poins along an inflaion/ oupu variabiliy fronier by varying he relaive weigh hey pu on inflaion versus oupu sabilizaion. Using a simplified version of Taylor s framework, Svensson (997b) shows ha, for a given level of oupu variabiliy, he shor-run variabiliy of inflaion depends on he amoun of persisence in he oupu gap and on wheher he cenral bank arges an inflaion rae or a pah for a price index. He shows ha if he oupu gap is persisen enough, he cenral bank should arge a For a more deailed descripion of he inuiion underlying he inflaion/oupu variabiliy radeoff, see Taylor (994). 3

2 JANUARY/FEBRUARY 999 Gavin and Sockman (99) explain why a sociey ha cares abou inflaion (no price level) sabiliy may sill prefer a price level arge if he source of inflaion shocks is unobservable o he public. 3 An appendix in Svensson (997b) shows ha inroducing money wih a conrol error in he inflaion equaion would no change his resuls. pah for he price level. Svensson also explains why a price-level arge can be used as a commimen mechanism o eliminae he inflaion bias ha resuls when a cenral bank ries o arge an unrealisically high level of oupu. In his paper, we explain how he inflaion-oupu variabiliy radeoff changes if he cenral bank chooses o arge a predeermined pah for he price level raher han an inflaion rae. Our analysis is more ransparen han Svensson s because we do no ry o disinguish beween cases of commimen and discreion, nor do we consider he case where he cenral bank ries o achieve an unrealisic objecive for oupu. We assume ha he cenral bank canno commi credibly o more han one period a a ime. Since he cenral bank does no ry o achieve unrealisically high levels of oupu, he seady sae inflaion raes are he same for boh inflaion and price-level argeing regimes. INFLATION VERSUS PRICE-LEVEL TARGETING IN A SIMPLE PHILLIPS CURVE MODEL The basic model described here is from Svensson (997a, 997b). The model is consisen wih a wide range of sicky-price models in which moneary policy can have imporan real effecs. The model has hree main elemens: a muliperiod objecive funcion for he cenral bank, an aggregae supply equaion, and a raional expecaions assumpion. The cenral bank minimizes an ineremporal quadraic loss funcion: () L = β λ y + π π * ( ), = 0 ( ) where y is he deviaion of oupu from he arge level (which we assume is he underlying rend in real oupu) and (π π * ) is he deviaion of inflaion from he cenral bank s inflaion arge. The cenral bank discouns fuure variabiliy in he oupu gap and inflaion by he facor. The parameer, λ, relaes he cenral bank s preference for oupu sabiliy o is preference for inflaion sabiliy. The economy is modeled as a shorrun aggregae supply curve wih persisence in he oupu gap: () The inroducion of a lagged oupu gap in his equaion is imporan for comparing inflaion and price-level argeing. Concepually, he lag will be inroduced any ime fricion prevens insananeous and complee adjusmen of oupu o unexpeced changes in he price level. This fricion could be induced by wage conracs, menu coss, ransacion coss, incomplee markes, capial adjusmen coss, ec. The slope of he shor-run Phillips Curve is given by which deermines he response of he oupu gap o unexpeced inflaion (π π e ). Wih his aggregae supply curve and raional expecaions, ha is, π e =E π, he cenral bank s opimizaion problem implies a radeoff beween oupu and inflaion variabiliy. Minimizing his loss funcion subjec o he aggregae supply curve leads o a rule for inflaion ha is coningen on he size of he oupu gap: (3) y e = ρ y + α ( π π ) + ε. A A * αλρ π = p p = π y βρ αλ βρ α λ ε, + where he superscrip A indicaes ha he variable is deermined by he inflaion-argeing rule and p is he logarihm of he price level. The inflaion rae se in each period is equal o he inflaion arge wih counercyclical adjusmens proporional o he lagged oupu gap and he curren echnology shock. Following Svensson, we assume he cenral bank can conrol inflaion direcly. 3 Deails of he soluion procedure are presened in he appendix. If he cenral bank cares abou deviaions of he price level raher han he 4

3 J ANUARY/FEBRUARY 999 inflaion rae, he naural logarihm of he price level will replace he inflaion rae in he loss funcion. We reformulae he objecive funcion as below: (4) where he arge pah for he price level may be consan or may be rising a a consan rae. The cenral bank s rule for achieving he arge pah is given by: (5) β * ( ) = 0 L = λ y + ( p p ), B * αλρ p = p y βρ αλ, βρ + α λ ε implying he following rule for he inflaion rae: expecaions, he model s Phillips Curve implies ha oupu is given by: βρ (7) y = ρ y +. βρ + α λ ε As he relaive weigh on oupu variabiliy, λ, ges large, he coefficien on he error erm ends o zero as does he variance of he oupu gap. If he variance of ε is σ, hen he above decision rule for y implies ha he uncondiional variance of he oupu gap is: ( βρ ) (8) σ y = σ ε. ( ρ )( βρ + α λ) Afer noing ha ε is uncorrelaed wih y, we can use he decision rule for π o calculae he uncondiional variance of inflaion as: (6) π B B = p p = π αλρ ( y y ) βρ αλ ( βρ α λ ε ε + ), * (9) αλρ σ π = σ βρ αλ + ( βρ + α λ) y σ ε, where we have used he assumpion ha he price-level arge, p *, is given by p * =π * +p *. The superscrip B indicaes ha he variable is deermined by he price-level argeing rule. Wih he pricelevel arge, he cenral bank s reacion funcion, Equaion 6, has hree elemens on he righ-hand side. The firs is he seadysae inflaion embodied in he arge pah for he price level. The second and hird are proporional, counercyclical adjusmens o he change in he oupu gap from period o period and he change in he echnology shock from period o period, respecively. The radeoff beween inflaion and oupu is qualiaively differen under he wo differen regimes, inflaion argeing and price-level argeing. In an inflaionargeing regime, he bank ses inflaion, π A, as shown in Equaion 3. Wih raional which can be simplified o yield an expression only involving σ, namely: α λ (0) σ π = σ ε. ( ρ )( βρ + α λ) In a price-level-argeing regime, he cenral bank ses he inflaion rae, π B, as in Equaion 5. Once again assuming raional expecaions, p e = E p, he following ime series process for he oupu gap is derived from he model s Phillips Curve, βρ () y = ρy +. βρ + α λ ε Noe ha his process for he oupu gap looks idenical o Equaion 7, which was derived in he inflaion-argeing regime. The parameer λ, however, has a differen F EDERAL RESERVE BANK OF ST. LOUIS 5

4 JANUARY/FEBRUARY 999 Figure The Oupu-Inflaion Variabiliy Tradeoff Variabiliy of he Oupu Gap Inflaion Targe inerpreaion here, as he bank s preferences are differen. The uncondiional variance of he oupu gap as a funcion of his parameer is given by he same expression as noed in Equaion 8. The uncondiional variance of he inflaion rae, however, is given by he following expression: () Price-Level Targe β = 0.99 α = 0.50 ρ = Variabiliy of Inflaion α λ σπ = σ ε. ( + ρ)( βρ + α λ) Regardless of wheher he cenral bank is argeing inflaion or he price level, a small weigh on he oupu gap leads he bank o srive for keeping inflaion or he price level close o is arge. A he exreme, where he cenral bank places no weigh on deviaions of he oupu gap, he variance of he gap is deermined by persisence in he oupu gap, ρ, and he variance of echnology shocks. Here, he bank opimizes by fixing inflaion, or he price level, a is arge in every period. There is no inflaion variabiliy, no inflaion uncerainy, and a simple auoregressive process for he oupu gap. Conversely, a large weigh on he deviaion of he oupu gap from he arge would lead he bank o use he Phillips Curve consrain o closely conrol he oupu gap by leing inflaion vary more. We graphically display he difference beween he inflaion/oupu variabiliy radeoffsin he wo regimes by firs expressing he oupu gap variance and he inflaion variance as funcions of he preference parameer λ while holding he parameers of he Phillips Curve consan. For a given λ, he bank s decision rules can be used o calculae an uncondiional variance for boh inflaion and he oupu gap (a single poin in Figure ). Varying he bank s preferences by varying λ will deermine he locaion of he curve represening he rade off beween σ π and σ y. A sample pair of variance radeoff curves are displayed in Figure. For he chosen se of parameer values, he variance radeoff under he price-level-argeing regime lies everywhere below ha for he inflaion-argeing regime. Thus, given his paricular se of parameers, sociey would prefer he price-level-argeing regime. More can be said abou he relaive posiionof hese radeoff curves. If we examine he expressions for he uncondiional variances of he oupu gap and inflaion derived above, we can fully describe he posiion of hese curves in erms of he auoregressive parameer, ρ, in he Phillips Curve equaion. Noe ha in eiher regime, if he bank places no weigh on deviaions of he oupu gap from arge, hen he bank simply ses he inflaion rae, or he price level, equal o is arge in every period. Thus, in he limi as he parameer λ approaches 0, he uncondiional variance of inflaion approaches 0, while he uncondiional variance of oupu approaches ha of he simple firs-order auoregressive process y = y +ε. Thus, he wo radeoff curves inersec he σ y -axis a he same poin. If he cenral bank s weigh on deviaions of he oupu gap from arge becomes large, hen he cenral bank ses he oupu gap equal o is arge and manipulaes he inflaion rae o reach his goal. Thus, as he parameer λapproaches infiniy, he variance of oupu approaches 0. Examining he expressions for he uncondiional variance of inflaion shows ha as λapproaches infiniy, he variance of inflaion under an inflaionargeing regime approaches (α ( ρ )), and he variance of inflaion under a pricelevel-argeing regime approaches 6

5 JANUARY/FEBRUARY 999 (α (+ρ)). Therefore, assuming ha he radeoff curves are convex for all parameer values, he radeoff curves under pricelevel-argeing regimes will lie below hose for inflaion-argeing regimes as long as (3) ( α ( + ρ)) < ( α ( ρ )), or equivalenly, ρ /. 4 Noe ha he relaive posiion of he radeoff curves does no depend on α, he slope of he shorrun Phillips Curve, or on β, he cenral bank s discoun facor. We can gain some insigh for he relaive placemen of he curves under he above condiion by considering wha happens as he auo-regressive parameer, ρ, approaches. As his happens, he oupu gap sars o behave more and more like a random walk. Under he inflaion-argeing regime, he bank ses he inflaion rae proporional o he oupu gap. Consequenly, if he oupu gap behaves like a random walk, so will he inflaion rae. Under he price-levelargeing regime, however, he bank ses he inflaion rae proporional o he change in he oupu gap. Thus, even if he oupu gap becomes non-saionary as ρapproaches, he ime pah of he inflaion rae remains saionary under such a regime. EMPIRICAL EVIDENCE The simple Phillips Curve model represens popular wisdom abou he radeoff beween inflaion and oupu variabiliy. I is insrucive o examine esimaes of he persisence in he oupu gap. We use U.S. gross domesic produc (GDP) daa where we calculae hree differen measures of he oupu gap from hree differen measures of poenial GDP: Congressional Budge Office (CBO) esimaes. A quadraic ime (QT) rend calculaed using he logarihm of real GDP. A Hodrick-Presco (HP) rend also calculaed using logarihm real GDP. Table Oupu Gap Under Alernae Definiions of Trend GDP CBO.7% Quadraic Hodrick- CBO Time Presco Quadraic Time % Hodrick-Presco % Values on he diagonal are he sandard deviaions of he oupu gap variously measured. Values on off-diagonals are he correlaion coefficiens beween he respecive measures of he oupu gap. Daa are quarerly U.S. GDP from 949:Q o 998:Q. The quadraic ime gap is calculaed as he residual in he following regression: where yis he logarihm of GDP ande^is he esimaed residual. The Hodrick-Presco gap is he deviaion from rend calculaed using he filer described in Presco (986). Table y = consan + β Time + β Time + e Esimaes of Persisence in he Oupu Gap Using U.S. GDP Daa y = c + ρ y + ω y + e i i Definiion of Trend Esimae of ρ In each case, we calculae he oupu gap as he difference beween he logarihm of real GDP and he alernae esimaes of he rend. Table shows he sample sandard deviaions and correlaions beween he differen measures of he oupu gap. The esimae based on he quadraic ime rend is he mos variable and he mos highly correlaed wih he CBO esimae. We assume he CBO esimae is closes o he daa ha he policymakers acually use. Table shows he esimaes of he auoregressive parameer calculaed for each measure of he oupu gap. The Sandard Error CBO Quadraic Time Hodrick-Presco Daa are quarerly U.S. GDP from 949:Q o 998:Q. 4 Svensson (997b) derived a similar resul for he discreion case. 7

6 JANUARY/FEBRUARY 999 Table 3 Esimaes of Persisence in he Oupu Gap (Using indusrial Producion o Measure Oupu) y = c + ρ y + ω y + e i i Counry Hodrick Presco Filer Quadraic Time Trend Filer Esimae of ρ Sandard Error Esimae of ρ Sandard Error Belgium Canada France Germany Ialy Japan Neherlands Sweden Unied Kingdom Unied Saes Daa for he G-0 are quarerly averages of monhly indusrial producion from 957: o 997: published by he Inernaional Moneary Fund. equaion used o esimae ρis shown a he op of Table. The properies of he disribuion for his esimae were discussed in Dickey and Fuller (98). By consrucion, he oupu gap is saionary so here is no prior reason o expec esimaes of ρ o be close o uniy. We find surprisingly high esimaes of ρ using boh he QT gap (0.9) and he CBO gap (0.9), however. The HP rend follows he acual series more closely han he oher wo series. The sandard deviaion is much smaller and he esimae of ρis only 0.7. Even in his case, however, he esimae is sill more han four sandard deviaions larger han This confirms Svensson s resul ha if one believes in his oupu/inflaion variabiliy radeoff, hen seing a price-level arge would mos likely resul in a more efficien se of opions for he Fed han would an inflaion arge. We also have esimaed he persisence of he oupu gap in he G-0 counries. There is a lack of hisorical quarerly GDP daa for he G-0, so we measured he persisence of he oupu gap in hese counries by aking quarerly averages of indusrial producion and using boh he HP and QT filers (see Table 3) o consruc he oupu gap. Using he QT filer, ρ is esimaed o be greaer han 0.50 and highly significan in all he counries. Using he HP filer, he resuls are mixed. Only in one case is he poin esimae below 0.50, bu in over half of he cases, he esimae is wihin one sandard deviaion of CONCLUSION In his paper we describe a popular model of moneary policy in which he cenral bank minimizes a discouned, muliperiod loss funcion ha includes deviaions of infla- 8

7 J ANUARY/FEBRUARY 999 ion and oupu from arge levels. This minimizaion is consrained bya shor-run radeoffbeween inflaion and real oupu. This simple model suggess ha he choice beween an inflaion arge and a pricelevel arge depends on characerisics of real oupu. If he oupu gap is relaively persisen, hen argeing he price level resuls in a beer se of policy opions for he cenral bank. We presen evidence from he G-0 counries showing ha convenionally measured oupu gaps are highly persisen. The policy implicaion of assuming raional expecaions and his Phillips Curve model is ha cenral banks should se objecives for a price level, no an inflaion rae. REFERENCES Dickey, David A., and Wayne A. Fuller. Likelihood Raio Saisics for Auoregressive Time Series wih a Uni Roo, Economerica 49 (June 98), pp Gavin, William T., and Alan Sockman. Why a Rule for Sable Prices May Dominae a Rule for Zero Inflaion, Economic Review, Federal Reserve Bank of Cleveland, (99 Quarer I), pp. -8. Hodrick, Rober J., and Edward C. Presco. Poswar U.S. Business Cycles: An Empirical Invesigaion, Journal of Money, Credi, and Banking, 9 (February 997), pp. -6. Presco, Edward C. Theory Ahead of Business Cycle Measuremen, Carnegie-Rocheser Conference Series on Public Policy. New York: Norh-Holland, (Auumn986). Svensson, Lars E.O. Opimal Inflaion Targes, Conservaive Cenral Banks, and Linear Inflaion Conracs, American Economic Review 87 (March 997a), pp Price Level Targeing vs. Inflaion Targeing: A Free Lunch? Insiue for Inernaional Economic Sudies, Sockholm Universiy, Augus 997b. An earlier version was published in Augus 996 as NBER Working Paper 579. Taylor, John B. The Inflaion/Oupu Variabiliy Tradeoff Revisied, in Goals, Guidelines, and Consrains Facing Moneary Policymakers, Jeffrey C. Fuhrer, ed., The Federal Reserve Bank of Boson Conference Series 38 (994), pp Esimaion and Conrol of a Macroeconomic Model wih Raional Expecaions, Economerica 47 (Sepember 979), pp

8 JANUARY/FEBRUARY 999 Appendix APPENDIX: SOLUTION OF THE CENTRAL BANK S OPTIMIZATION PROBLEM Since he cenral bank s objecive under eiher he inflaion argeing or price-level-argeing regime is quadraic and is consrains are linear, i is possible o guess ha linear-decision rules solve he bank s opimizaion problem. We show ha subsiuing he conjecured linear rules ino he firs-order condiions for he bank s opimizaion problem and equaing coefficiens will yield he decision rules described in he ex. We rea inflaion expecaions as equilibrium variables are reaed in a dynamic general equilibrium model. Tha is, we suppose ha he bank bases is decisions a ime solely on he sae variables y and ε while inflaion expecaions are lef o be deermined by a raional expecaions condiion. Consider firs he inflaion-argeing regime. We form he bank s Lagrangian as: (A) E 0 ( ) * λy + π π β y ρy = 0 µ, e απ ( π ) ε where he µ s are a sequence of random mulipliers. The bank s firs-order condiions ake he form: (A) λ y µ + βρ E µ = 0, + when aken wih respec o he sequence of y s, and he form: * (A3) ( π π )+ αµ = 0, when aken wih respec o he sequence of π s. Eliminaing he mulipliers from hese expressions gives he following Euler equaion: (A4) We now posi a linear decision rule for inflaion of he form: (A5) π =A +A y - +A 3 ε. If expecaions formed a ime - are raional hen: (A6) π e =A +A y -. Hence, he consrain imposed by he aggregae supply relaion (Equaion in he aricle) yields a decision rule for y direcly of he form: (A7) y =ρy - +(αa 3 +)ε. Noe ha decision rules are invarian so ha π + can be deermined by ieraing on he rule for π o yield he following expression: (A8) λy ( ) α π π * + βρ * E( π+ π )= 0. α π+ = A + Ay + A3ε = A + A ( ρy + ( αa + ) ε)+ A ε Subsiuing Equaions A5, A7, and A8 ino he Euler Equaion A4 above, aking expecaions, and equaing consan erms and coefficiens on he saes yields values for A, A, and A 3 in erms of parameers of he model. Deermining he bank s decision rules in he case of a price-level-argeing regime proceeds in a similar fashion. The only difference is he bank s price-level arge changes over ime, and hence p * mus ener as a sae variable in he bank s decision rules. Since his arge evolves in a deerminisic manner as p * =p * +π *, however, i is sill. 30

9 J ANUARY/FEBRUARY 999 possible o posulae a decision rule of he form p = A + A p * + A 3 y + A 4 ε, and ierae on i o calculae p + in erms of ime saes. Afer subsiuing he resulan linear rules ino he bank s Euler equaion and equaing coefficiens, we obain he decision rule for price-level argeing given in he ex. 3

10 J ANUARY/FEBRUARY 999 3

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

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

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

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

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

Financial Econometrics Jeffrey R. Russell Midterm Winter 2009 SOLUTIONS

Financial Econometrics Jeffrey R. Russell Midterm Winter 2009 SOLUTIONS Name SOLUTIONS Financial Economerics Jeffrey R. Russell Miderm Winer 009 SOLUTIONS You have 80 minues o complee he exam. Use can use a calculaor and noes. Try o fi all your work in he space provided. If

More information

Has the Business Cycle Changed? Evidence and Explanations. Appendix

Has the Business Cycle Changed? Evidence and Explanations. Appendix Has he Business Ccle Changed? Evidence and Explanaions Appendix Augus 2003 James H. Sock Deparmen of Economics, Harvard Universi and he Naional Bureau of Economic Research and Mark W. Wason* Woodrow Wilson

More information

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles

Diebold, Chapter 7. Francis X. Diebold, Elements of Forecasting, 4th Edition (Mason, Ohio: Cengage Learning, 2006). Chapter 7. Characterizing Cycles Diebold, Chaper 7 Francis X. Diebold, Elemens of Forecasing, 4h Ediion (Mason, Ohio: Cengage Learning, 006). Chaper 7. Characerizing Cycles Afer compleing his reading you should be able o: Define covariance

More information

15. Which Rule for Monetary Policy?

15. Which Rule for Monetary Policy? 15. Which Rule for Moneary Policy? John B. Taylor, May 22, 2013 Sared Course wih a Big Policy Issue: Compeing Moneary Policies Fed Vice Chair Yellen described hese in her April 2012 paper, as discussed

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

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

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

A Dual-Target Monetary Policy Rule for Open Economies: An Application to France ABSTRACT

A Dual-Target Monetary Policy Rule for Open Economies: An Application to France ABSTRACT A Dual-arge Moneary Policy Rule for Open Economies: An Applicaion o France ABSRAC his paper proposes a dual arges moneary policy rule for small open economies. In addiion o a domesic moneary arge, his

More information

Chapter 15 A Model with Periodic Wage Contracts

Chapter 15 A Model with Periodic Wage Contracts George Alogoskoufis, Dynamic Macroeconomics, 2016 Chaper 15 A Model wih Periodic Wage Conracs In his chaper we analyze an alernaive model of aggregae flucuaions, which is based on periodic nominal wage

More information

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits

Exponential Weighted Moving Average (EWMA) Chart Under The Assumption of Moderateness And Its 3 Control Limits DOI: 0.545/mjis.07.5009 Exponenial Weighed Moving Average (EWMA) Char Under The Assumpion of Moderaeness And Is 3 Conrol Limis KALPESH S TAILOR Assisan Professor, Deparmen of Saisics, M. K. Bhavnagar Universiy,

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

1 Price Indexation and In ation Inertia

1 Price Indexation and In ation Inertia Lecures on Moneary Policy, In aion and he Business Cycle Moneary Policy Design: Exensions [0/05 Preliminary and Incomplee/Do No Circulae] Jordi Galí Price Indexaion and In aion Ineria. In aion Dynamics

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

Instrumental rules and targeting regimes. Giovanni Di Bartolomeo University of Teramo

Instrumental rules and targeting regimes. Giovanni Di Bartolomeo University of Teramo Insrumenal rules and argeing regimes Giovanni Di Barolomeo Universiy of Teramo Preview Definiions Par one Insrumenal rules 1. Taylor rule 2. The problem of insabiliy (Taylor principle) Par wo Targeing

More information

Different assumptions in the literature: Wages/prices set one period in advance and last for one period

Different assumptions in the literature: Wages/prices set one period in advance and last for one period Øisein Røisland, 5.3.7 Lecure 8: Moneary policy in New Keynesian models: Inroducing nominal rigidiies Differen assumpions in he lieraure: Wages/prices se one period in advance and las for one period Saggering

More information

Licenciatura de ADE y Licenciatura conjunta Derecho y ADE. Hoja de ejercicios 2 PARTE A

Licenciatura de ADE y Licenciatura conjunta Derecho y ADE. Hoja de ejercicios 2 PARTE A Licenciaura de ADE y Licenciaura conjuna Derecho y ADE Hoja de ejercicios PARTE A 1. Consider he following models Δy = 0.8 + ε (1 + 0.8L) Δ 1 y = ε where ε and ε are independen whie noise processes. In

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

Inflation-Targeting, Price-Path Targeting and Indeterminacy

Inflation-Targeting, Price-Path Targeting and Indeterminacy WORKING PAPER SERIES Inflaion-Targeing, Price-Pah Targeing and Indeerminacy Rober D. Dimar and William T. Gavin Working Paper 2004-007B hp://research.slouisfed.org/wp/2004/2004-007.pdf March 2004 Revised

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

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

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

Some Basic Information about M-S-D Systems

Some Basic Information about M-S-D Systems Some Basic Informaion abou M-S-D Sysems 1 Inroducion We wan o give some summary of he facs concerning unforced (homogeneous) and forced (non-homogeneous) models for linear oscillaors governed by second-order,

More information

The Brock-Mirman Stochastic Growth Model

The Brock-Mirman Stochastic Growth Model c November 20, 207, 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

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

Chapter 13 A New Keynesian Model with Periodic Wage Contracts

Chapter 13 A New Keynesian Model with Periodic Wage Contracts George Alogoskoufis, Dynamic Macroeconomic Theory, 2015 Chaper 13 A New Keynesian Model wih Periodic Wage Conracs The realizaion of he insabiliy of he original Phillips curve has gradually led o a paradigm

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

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

Time Series Test of Nonlinear Convergence and Transitional Dynamics. Terence Tai-Leung Chong

Time Series Test of Nonlinear Convergence and Transitional Dynamics. Terence Tai-Leung Chong Time Series Tes of Nonlinear Convergence and Transiional Dynamics Terence Tai-Leung Chong Deparmen of Economics, The Chinese Universiy of Hong Kong Melvin J. Hinich Signal and Informaion Sciences Laboraory

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

SZG Macro 2011 Lecture 3: Dynamic Programming. SZG macro 2011 lecture 3 1

SZG Macro 2011 Lecture 3: Dynamic Programming. SZG macro 2011 lecture 3 1 SZG Macro 2011 Lecure 3: Dynamic Programming SZG macro 2011 lecure 3 1 Background Our previous discussion of opimal consumpion over ime and of opimal capial accumulaion sugges sudying he general decision

More information

Forward guidance. Fed funds target during /15/2017

Forward guidance. Fed funds target during /15/2017 Forward guidance Fed funds arge during 2004 A. A wo-dimensional characerizaion of moneary shocks (Gürkynak, Sack, and Swanson, 2005) B. Odyssean versus Delphic foreign guidance (Campbell e al., 2012) C.

More information

Financial Crisis, Taylor Rule and the Fed

Financial Crisis, Taylor Rule and the Fed Deparmen of Economics Working Paper Series Financial Crisis, Taylor Rule and he Fed Saen Kumar 2014/02 1 Financial Crisis, Taylor Rule and he Fed Saen Kumar * Deparmen of Economics, Auckland Universiy

More information

BU Macro BU Macro Fall 2008, Lecture 4

BU Macro BU Macro Fall 2008, Lecture 4 Dynamic Programming BU Macro 2008 Lecure 4 1 Ouline 1. Cerainy opimizaion problem used o illusrae: a. Resricions on exogenous variables b. Value funcion c. Policy funcion d. The Bellman equaion and an

More information

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé

Bias in Conditional and Unconditional Fixed Effects Logit Estimation: a Correction * Tom Coupé Bias in Condiional and Uncondiional Fixed Effecs Logi Esimaion: a Correcion * Tom Coupé Economics Educaion and Research Consorium, Naional Universiy of Kyiv Mohyla Academy Address: Vul Voloska 10, 04070

More information

Chapter 14 A Model of Imperfect Competition and Staggered Pricing

Chapter 14 A Model of Imperfect Competition and Staggered Pricing George Alogoskoufis, Dynamic Macroeconomic Theory, 205 Chaper 4 A Model of Imperfec Compeiion and Saggered Pricing In his chaper we presen he srucure of an alernaive new Keynesian model of aggregae flucuaions.

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

Ready for euro? Empirical study of the actual monetary policy independence in Poland VECM modelling

Ready for euro? Empirical study of the actual monetary policy independence in Poland VECM modelling Macroeconomerics Handou 2 Ready for euro? Empirical sudy of he acual moneary policy independence in Poland VECM modelling 1. Inroducion This classes are based on: Łukasz Goczek & Dagmara Mycielska, 2013.

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

How square is the policy frontier?

How square is the policy frontier? How square is he policy fronier? SGB Henry, M Sachi and D Vines Firs Version December 000 This version January 00 Cenre for Inernaional Macroeconomics Deparmen of Economics, Universiy of Oxford Absrac:

More information

Lecture Notes 2. The Hilbert Space Approach to Time Series

Lecture Notes 2. The Hilbert Space Approach to Time Series Time Series Seven N. Durlauf Universiy of Wisconsin. Basic ideas Lecure Noes. The Hilber Space Approach o Time Series The Hilber space framework provides a very powerful language for discussing he relaionship

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

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

Dynamic models for largedimensional. Yields on U.S. Treasury securities (3 months to 10 years) y t

Dynamic models for largedimensional. Yields on U.S. Treasury securities (3 months to 10 years) y t Dynamic models for largedimensional vecor sysems A. Principal componens analysis Suppose we have a large number of variables observed a dae Goal: can we summarize mos of he feaures of he daa using jus

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

On the Taylor Rule and Optimal Monetary Policy in a Natural Rate Model. George Alogoskoufis*

On the Taylor Rule and Optimal Monetary Policy in a Natural Rate Model. George Alogoskoufis* On he Taylor Rule and Opimal Moneary Policy in a Naural Rae Model by George Alogoskoufis* June 015. Revised May 016 Absrac This paper invesigaes he sabilizing role of moneary policy in a dynamic, sochasic

More information

Properties of Autocorrelated Processes Economics 30331

Properties of Autocorrelated Processes Economics 30331 Properies of Auocorrelaed Processes Economics 3033 Bill Evans Fall 05 Suppose we have ime series daa series labeled as where =,,3, T (he final period) Some examples are he dail closing price of he S&500,

More information

Unit Root Time Series. Univariate random walk

Unit Root Time Series. Univariate random walk Uni Roo ime Series Univariae random walk Consider he regression y y where ~ iid N 0, he leas squares esimae of is: ˆ yy y y yy Now wha if = If y y hen le y 0 =0 so ha y j j If ~ iid N 0, hen y ~ N 0, he

More information

The Real Exchange Rate, Real Interest Rates, and the Risk Premium. Charles Engel University of Wisconsin

The Real Exchange Rate, Real Interest Rates, and the Risk Premium. Charles Engel University of Wisconsin The Real Exchange Rae, Real Ineres Raes, and he Risk Premium Charles Engel Universiy of Wisconsin How does exchange rae respond o ineres rae changes? In sandard open economy New Keynesian model, increase

More information

Graduate Macro Theory II: Notes on Neoclassical Growth Model

Graduate Macro Theory II: Notes on Neoclassical Growth Model Graduae Macro Theory II: Noes on Neoclassical Growh Model Eric Sims Universiy of Nore Dame Spring 2015 1 Basic Neoclassical Growh Model The economy is populaed by a large number of infiniely lived agens.

More information

A Specification Test for Linear Dynamic Stochastic General Equilibrium Models

A Specification Test for Linear Dynamic Stochastic General Equilibrium Models Journal of Saisical and Economeric Mehods, vol.1, no.2, 2012, 65-70 ISSN: 2241-0384 (prin), 2241-0376 (online) Scienpress Ld, 2012 A Specificaion Tes for Linear Dynamic Sochasic General Equilibrium Models

More information

Chapter 5. Heterocedastic Models. Introduction to time series (2008) 1

Chapter 5. Heterocedastic Models. Introduction to time series (2008) 1 Chaper 5 Heerocedasic Models Inroducion o ime series (2008) 1 Chaper 5. Conens. 5.1. The ARCH model. 5.2. The GARCH model. 5.3. The exponenial GARCH model. 5.4. The CHARMA model. 5.5. Random coefficien

More information

Lecture 5. Time series: ECM. Bernardina Algieri Department Economics, Statistics and Finance

Lecture 5. Time series: ECM. Bernardina Algieri Department Economics, Statistics and Finance Lecure 5 Time series: ECM Bernardina Algieri Deparmen Economics, Saisics and Finance Conens Time Series Modelling Coinegraion Error Correcion Model Two Seps, Engle-Granger procedure Error Correcion Model

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

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3

d 1 = c 1 b 2 - b 1 c 2 d 2 = c 1 b 3 - b 1 c 3 and d = c b - b c c d = c b - b c c This process is coninued unil he nh row has been compleed. The complee array of coefficiens is riangular. Noe ha in developing he array an enire row may be divided or

More information

) were both constant and we brought them from under the integral.

) were both constant and we brought them from under the integral. YIELD-PER-RECRUIT (coninued The yield-per-recrui model applies o a cohor, bu we saw in he Age Disribuions lecure ha he properies of a cohor do no apply in general o a collecion of cohors, which is wha

More information

Vectorautoregressive Model and Cointegration Analysis. Time Series Analysis Dr. Sevtap Kestel 1

Vectorautoregressive Model and Cointegration Analysis. Time Series Analysis Dr. Sevtap Kestel 1 Vecorauoregressive Model and Coinegraion Analysis Par V Time Series Analysis Dr. Sevap Kesel 1 Vecorauoregression Vecor auoregression (VAR) is an economeric model used o capure he evoluion and he inerdependencies

More information

Time series Decomposition method

Time series Decomposition method Time series Decomposiion mehod A ime series is described using a mulifacor model such as = f (rend, cyclical, seasonal, error) = f (T, C, S, e) Long- Iner-mediaed Seasonal Irregular erm erm effec, effec,

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

Estimation Uncertainty

Estimation Uncertainty Esimaion Uncerainy The sample mean is an esimae of β = E(y +h ) The esimaion error is = + = T h y T b ( ) = = + = + = = = T T h T h e T y T y T b β β β Esimaion Variance Under classical condiions, where

More information

Types of Exponential Smoothing Methods. Simple Exponential Smoothing. Simple Exponential Smoothing

Types of Exponential Smoothing Methods. Simple Exponential Smoothing. Simple Exponential Smoothing M Business Forecasing Mehods Exponenial moohing Mehods ecurer : Dr Iris Yeung Room No : P79 Tel No : 788 8 Types of Exponenial moohing Mehods imple Exponenial moohing Double Exponenial moohing Brown s

More information

Optimal Monetary Policy in the New Keynesian Model

Optimal Monetary Policy in the New Keynesian Model Opimal Moneary Policy in he New Keynesian Model Eric Sims Universiy of Nore Dame Spring 217 1 Inroducion These noes describe opimal moneary policy in he basic New Keynesian model. 2 Re-wriing he Basic

More information

ACE 562 Fall Lecture 8: The Simple Linear Regression Model: R 2, Reporting the Results and Prediction. by Professor Scott H.

ACE 562 Fall Lecture 8: The Simple Linear Regression Model: R 2, Reporting the Results and Prediction. by Professor Scott H. ACE 56 Fall 5 Lecure 8: The Simple Linear Regression Model: R, Reporing he Resuls and Predicion by Professor Sco H. Irwin Required Readings: Griffihs, Hill and Judge. "Explaining Variaion in he Dependen

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

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

This document was generated at 1:04 PM, 09/10/13 Copyright 2013 Richard T. Woodward. 4. End points and transversality conditions AGEC

This document was generated at 1:04 PM, 09/10/13 Copyright 2013 Richard T. Woodward. 4. End points and transversality conditions AGEC his documen was generaed a 1:4 PM, 9/1/13 Copyrigh 213 Richard. Woodward 4. End poins and ransversaliy condiions AGEC 637-213 F z d Recall from Lecure 3 ha a ypical opimal conrol problem is o maimize (,,

More information

LAPLACE TRANSFORM AND TRANSFER FUNCTION

LAPLACE TRANSFORM AND TRANSFER FUNCTION CHBE320 LECTURE V LAPLACE TRANSFORM AND TRANSFER FUNCTION Professor Dae Ryook Yang Spring 2018 Dep. of Chemical and Biological Engineering 5-1 Road Map of he Lecure V Laplace Transform and Transfer funcions

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

DEPARTMENT OF STATISTICS

DEPARTMENT OF STATISTICS A Tes for Mulivariae ARCH Effecs R. Sco Hacker and Abdulnasser Haemi-J 004: DEPARTMENT OF STATISTICS S-0 07 LUND SWEDEN A Tes for Mulivariae ARCH Effecs R. Sco Hacker Jönköping Inernaional Business School

More information

Testing for a Single Factor Model in the Multivariate State Space Framework

Testing for a Single Factor Model in the Multivariate State Space Framework esing for a Single Facor Model in he Mulivariae Sae Space Framework Chen C.-Y. M. Chiba and M. Kobayashi Inernaional Graduae School of Social Sciences Yokohama Naional Universiy Japan Faculy of Economics

More information

A New-Keynesian Model

A New-Keynesian Model Deparmen of Economics Universiy of Minnesoa Macroeconomic Theory Varadarajan V. Chari Spring 215 A New-Keynesian Model Prepared by Keyvan Eslami A New-Keynesian Model You were inroduced o a monopolisic

More information

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n

Module 2 F c i k c s la l w a s o s f dif di fusi s o i n Module Fick s laws of diffusion Fick s laws of diffusion and hin film soluion Adolf Fick (1855) proposed: d J α d d d J (mole/m s) flu (m /s) diffusion coefficien and (mole/m 3 ) concenraion of ions, aoms

More information

ADVANCED MATHEMATICS FOR ECONOMICS /2013 Sheet 3: Di erential equations

ADVANCED MATHEMATICS FOR ECONOMICS /2013 Sheet 3: Di erential equations ADVANCED MATHEMATICS FOR ECONOMICS - /3 Shee 3: Di erenial equaions Check ha x() =± p ln(c( + )), where C is a posiive consan, is soluion of he ODE x () = Solve he following di erenial equaions: (a) x

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

A First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18

A First Course on Kinetics and Reaction Engineering. Class 19 on Unit 18 A Firs ourse on Kineics and Reacion Engineering lass 19 on Uni 18 Par I - hemical Reacions Par II - hemical Reacion Kineics Where We re Going Par III - hemical Reacion Engineering A. Ideal Reacors B. Perfecly

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

Dynamic Econometric Models: Y t = + 0 X t + 1 X t X t k X t-k + e t. A. Autoregressive Model:

Dynamic Econometric Models: Y t = + 0 X t + 1 X t X t k X t-k + e t. A. Autoregressive Model: Dynamic Economeric Models: A. Auoregressive Model: Y = + 0 X 1 Y -1 + 2 Y -2 + k Y -k + e (Wih lagged dependen variable(s) on he RHS) B. Disribued-lag Model: Y = + 0 X + 1 X -1 + 2 X -2 + + k X -k + e

More information

Has the Inflation Process Changed? A Comment *

Has the Inflation Process Changed? A Comment * Has he Inflaion Process Changed? A Commen * Jordi Galí CREI, UPF, CEPR and NBER Augus 2004 * Based on he discussion of Cecchei and Debelle s paper Has he Inflaion Process Changed? presened a he Third BIS

More information

Monetary policymaking and inflation expectations: The experience of Latin America

Monetary policymaking and inflation expectations: The experience of Latin America Moneary policymaking and inflaion expecaions: The experience of Lain America Luiz de Mello and Diego Moccero OECD Economics Deparmen Brazil/Souh America Desk 8h February 7 1999: new moneary policy regimes

More information

Fall 2015 Final Examination (200 pts)

Fall 2015 Final Examination (200 pts) Econ 501 Fall 2015 Final Examinaion (200 ps) S.L. Parene Neoclassical Growh Model (50 ps) 1. Derive he relaion beween he real ineres rae and he renal price of capial using a no-arbirage argumen under he

More information

Macroeconomic Theory III: Competitive Equilibrium (Real) Business Cycles

Macroeconomic Theory III: Competitive Equilibrium (Real) Business Cycles Macroeconomic Theory III: Compeiive Equilibrium (Real) Business Cycles Gavin Cameron Lady Margare Hall Michaelmas Term 2004 inroducion Real business cycle models are Walrasian hey feaure compeiive markes,

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

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

ACE 562 Fall Lecture 4: Simple Linear Regression Model: Specification and Estimation. by Professor Scott H. Irwin

ACE 562 Fall Lecture 4: Simple Linear Regression Model: Specification and Estimation. by Professor Scott H. Irwin ACE 56 Fall 005 Lecure 4: Simple Linear Regression Model: Specificaion and Esimaion by Professor Sco H. Irwin Required Reading: Griffihs, Hill and Judge. "Simple Regression: Economic and Saisical Model

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

Chapter 14 Wiener Processes and Itô s Lemma. Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull

Chapter 14 Wiener Processes and Itô s Lemma. Options, Futures, and Other Derivatives, 9th Edition, Copyright John C. Hull Chaper 14 Wiener Processes and Iô s Lemma Copyrigh John C. Hull 014 1 Sochasic Processes! Describes he way in which a variable such as a sock price, exchange rae or ineres rae changes hrough ime! Incorporaes

More information

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes

2.7. Some common engineering functions. Introduction. Prerequisites. Learning Outcomes Some common engineering funcions 2.7 Inroducion This secion provides a caalogue of some common funcions ofen used in Science and Engineering. These include polynomials, raional funcions, he modulus funcion

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

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB

T L. t=1. Proof of Lemma 1. Using the marginal cost accounting in Equation(4) and standard arguments. t )+Π RB. t )+K 1(Q RB Elecronic Companion EC.1. Proofs of Technical Lemmas and Theorems LEMMA 1. Le C(RB) be he oal cos incurred by he RB policy. Then we have, T L E[C(RB)] 3 E[Z RB ]. (EC.1) Proof of Lemma 1. Using he marginal

More information

OBJECTIVES OF TIME SERIES ANALYSIS

OBJECTIVES OF TIME SERIES ANALYSIS OBJECTIVES OF TIME SERIES ANALYSIS Undersanding he dynamic or imedependen srucure of he observaions of a single series (univariae analysis) Forecasing of fuure observaions Asceraining he leading, lagging

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

Unemployment and Mismatch in the UK

Unemployment and Mismatch in the UK Unemploymen and Mismach in he UK Jennifer C. Smih Universiy of Warwick, UK CAGE (Cenre for Compeiive Advanage in he Global Economy) BoE/LSE Conference on Macroeconomics and Moneary Policy: Unemploymen,

More information

International Parity Relations between Poland and Germany: A Cointegrated VAR Approach

International Parity Relations between Poland and Germany: A Cointegrated VAR Approach Research Seminar a he Deparmen of Economics, Warsaw Universiy Warsaw, 15 January 2008 Inernaional Pariy Relaions beween Poland and Germany: A Coinegraed VAR Approach Agnieszka Sążka Naional Bank of Poland

More information

DEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS UNIVERSITY OF CANTERBURY CHRISTCHURCH, NEW ZEALAND

DEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS UNIVERSITY OF CANTERBURY CHRISTCHURCH, NEW ZEALAND DEPARTMENT OF ECONOMICS AND FINANCE COLLEGE OF BUSINESS AND ECONOMICS UNIVERSITY OF CANTERBURY CHRISTCHURCH, NEW ZEALAND Asymmery and Leverage in Condiional Volailiy Models Michael McAleer WORKING PAPER

More information

Derived Short-Run and Long-Run Softwood Lumber Demand and Supply

Derived Short-Run and Long-Run Softwood Lumber Demand and Supply Derived Shor-Run and Long-Run Sofwood Lumber Demand and Supply Nianfu Song and Sun Joseph Chang School of Renewable Naural Resources Louisiana Sae Universiy Ouline Shor-run run and long-run implied by

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