Is there a relationship between real exchange rate movements and the output cycle?
|
|
- Mervin Oliver
- 5 years ago
- Views:
Transcription
1 Loughborough Universiy Insiuional Reposiory Is here a relaionship beween real exchange rae movemens and he oupu cycle This iem was submied o Loughborough Universiy's Insiuional Reposiory by he/an auhor. Addiional Informaion: This paper forms par of he ESRC funded projec (Award No. L ) Business Cycle Volailiy and Economic Growh: A Comparaive Time Series Sudy, which iself is par of he Undersanding he Evolving Macroeconomy Research programme. Meadaa Record: hps://dspace.lboro.ac.uk/2134/725 Publisher: c Loughborough Universiy Please cie he published version.
2 This iem was submied o Loughborough s Insiuional Reposiory by he auhor and is made available under he following Creaive Commons Licence condiions. For he full ex of his licence, please go o: hp://creaivecommons.org/licenses/by-nc-nd/2.5/
3 Deparmen of Economics Business Cycle Volailiy and Economic Growh Research Paper No. 01/2 IS THERE A RELATIONSHIP BETWEEN REAL EXCHANGE RATE MOVEMENTS AND THE OUTPUT CYCLE Terence C. Mills and Eric Penecos June 2001 This paper forms par of he ESRC funded projec (Award No. L ) Business Cycle Volailiy and Economic Growh: A Comparaive Time Series Sudy, which iself is par of he Undersanding he Evolving Macroeconomy Research programme.
4 1 Inroducion The Neo-classical heory of exchange rae deerminaion, wih a sock view of capial movemens, has he equilibrium exchange rae dependen on purchasing power pariy (PPP); ha is, he bilaeral nominal exchange rae is deermined by he raio of domesic o foreign price levels. Thus he real exchange rae is prediced o be consan. This predicion, however, is largely rejeced by he daa (see, for example Rogoff, 1996). Less resricive models of he equilibrium exchange rae, such as he radiional Mundell-Fleming model (Mundell, 1963) or generalised porfolio balance (Branson and Buier, 1983), assume ha oupu is no fixed a he level of full employmen, and posulae ha he curren accoun balance deermines he equilibrium exchange rae. In oher words, he real exchange rae, raher han assumed o be consan, is relaed o he relaive oupu levels. The empirical implicaion of his hypohesis is ha he real exchange rae should be co-inegraed wih he relaive levels of domesic and foreign oupu. This hypohesis is, however, rejeced by he daa in his paper, jus as he PPP relaionship has been empirically rejeced. This resul nowihsanding, he real exchange rae does shown a long, cyclical paern, no dissimilar o a business cycle paern. Cyclical oupu paerns could ranslae ino real exchange rae cycles, since he inernaional ransmission of he business cycle radiionally akes place hrough he rade balance (see, for example, Williamson and Milner, 1991). This cycle, however, is no apparen from eiher monhly or quarerly daa because, as noed by Baxer (1994) in a differen conex, he frequency is oo high. A lower frequencies, however, a cyclical relaionship may emerge beween oupu and he real exchange rae. If confirmed, his analysis also explains why PPP is rejeced in he shor o medium erm, since i implies ha he real exchange rae, raher han remain consan as suggesed by PPP, in fac flucuaes over he business cycle. This paper examines his relaionship for he U.S. and U.K. over he floaing exchange rae period from 1973 o Secion 2 posis a simple model of he relaionship beween U.S. and U.K. oupu and he real dollar-serling exchange rae. Secion 3 considers he derending of ime series and models he cyclical componens of he series o reveal he relaionship beween he real exchange rae and he wo oupu cycles. Secion 4 offers a brief conclusion. 2 The Basic Equilibrium Model Wih a sock-view of inernaional capial flows and a freely floaing nominal exchange rae regime, in equilibrium he curren accoun of he balance of paymens 1
5 mus be in balance. This exernal balance condiion, expressed in erms of he home counry, is: Q, Y M Q Y X, (1) X Q Y Q Y 0, X 0, M 0, M 0 where home expors, X, are idenical o foreign impors and home impors, M, are idenical o foreign expors. Q is he real exchange rae, measured as he foreign currency price of domesic currency, Y is domesic oupu, Y is foreign oupu, and he respecive parial derivaives are given below (1) 1. According o (1), domesic expors depend inversely on he real exchange rae, such ha as Q rises domesic expors become more expensive in foreign markes and he demand for hem falls. Conversely, a rise in Q is expeced o lead o an increase in domesic impors. An upurn in he foreign economy will lead o Y rising above rend, raising he demand for home expors. Similarly, a rise in Y will raise he domesic demand for foreign impors Equaion (1) is more general han he usual PPP equilibrium since we do no assume ha domesic and foreign goods are perfec subsiues such ha X Q M Q. Equaion (1) also permis price adjusmen o be slow, and hence oupu prices o be sicky, which is again an appealing feaure consisen wih New Keynesian ype research sraegies. If prices are sicky in he shor run, he real exchange rae may change, alering relaive prices and hence he demand for naional oupu. Suppose, for example, here is an increase in foreign demand for home oupu. If he exchange rae does no appreciae o offse he effec of he higher demand hen oupu will rise. Thus, in he shor run, over which prices are sicky, here may sill be an inernaional ransmission of he business cycle despie he floaing exchange rae policy. The need o mainain his equilibrium implies ha here is a relaionship beween he business cycle and he real exchange rae. To examine his poenial relaionship (1) can be assumed o be log-linear, where in equaion (2) lower case leers denoe he logs of heir upper case counerpars: q x q m y m q y x q x y m q y (2) 2
6 This says ha he real exchange rae is direcly relaed o foreign income and inversely relaed o domesic income. There are wo resricions ha can be esed on his simple quasi-reduced form model of exernal balance. Firs, if PPP is o hold hen x q mq and (2) would collapse o q 0, implying a consan real exchange x m y rae. Second, if here is symmery beween he wo economies such ha y, hen (2) reduces o q [ m y ( xq mq )]( y y). Alernaively, he relaive sizes of he wo economies could lead o asymmeric income effecs on he real exchange rae. Thus, if he foreign economy is larger han he domesic hen a foreign boom could be associaed wih an appreciaion of he real foreign currency price of domesic currency. Since all variables in (2) are sricly endogenous, his model is bes esed wihin a hree-equaion VAR framework using he cyclical componens of domesic and foreign oupu and he real exchange rae. This will also allow disequilibrium dynamics ino he srucure, which may be empirically imporan given he apparen empirical evidence in suppor of J-curves. 3 Empirical Implemenaion of he Model In his secion we consruc he cyclical componens of he variables in (2) and hence analyse he cyclical relaionship beween U.K. and U.S. oupu and he real dollarserling exchange rae. The daa period is he floaing rae regime from 1973 o 1999, wih quarerly observaions being used. The oupu series are logarihms of real GDP for boh counries and are denoed y and y. The (logarihm of he) real exchange rae is formally defined as: q s p p (3) where s is he logarihm of he nominal exchange rae and p and p are he logarihms of he respecive consumer price indices. The oupu series are shown in Figure 1, and he real exchange rae is shown in Figure 2. These series display familiar properies. The wo oupu series boh conain prominen rends and shorrun movemens abou hese rends, alhough for he U.S. such cyclical flucuaions have been much aenuaed in he las decade. The real exchange rae, on he oher hand, conains no rend bu is characerised by long swings, paricularly up o All hree series hus have he characerisics of inegraed processes conaining a 1 We assume in his secion ha he Marshall-Lerner condiion holds such ha Q X X Q Q M M Q 1 0, alhough his is sricly an empirical quesion and does no in any way affec our resuls. 3
7 single uni roo, alhough he real exchange rae does no conain a drif. Sandard Dickey-Fuller ess confirm his supposiion. As Baxer (1994) and Baxer and King (1999) poin ou, relaionships beween business cycle componens are ofen difficul o deec when convenional rend removal echniques, such as linear de-rending or firs differencing, are employed. Sochasic rends associaed wih he presence of a uni roo canno be removed by linear de-rending, and his is a major drawback since permanen (rend) componens will remain in he cyclical componen obained as he residual from he fied rend (shor-run noise will also be included in his residual). Alhough firs differencing will remove uni roo componens, his filer has several drawbacks. I alers iming relaionships beween variables by inducing a subsanial phase shif and i involves a dramaic re-weighing of frequencies high frequency (noise) componens are emphasised a he expense of down-weighing lower frequencies: in paricular, much of he cyclic variaion is removed. A popular choice of business-cycle filer is ha proposed by Hodrick and Presco (1997). This filer has some desirable properies. I will remove uni roo rend componens, i has no phase shif and, for an appropriae choice of is smoohing parameer, i closely approximaes he opimal filer ha isolaes only componens having business-cycle frequencies, defined o be hose having periods beween 6 and 32 quarers. An arguably beer choice is he band-pass filer proposed by Baxer and King (1999), which avoids he disorions associaed wih he Hodrick-Presco filer ha are caused by rapidly changing weighs a he ends of he sample, which resul in subsanial disorions of hese cyclical observaions. Pedersen (2001), for example, recommends he use of his filer in siuaions such as hose found here. For he quarerly ime series x, he band-pass filer ha passes componens having periodiciies beween 6 and 32 quarers is defined as x k 12 a k 12 k x k, a k a k, k 12 k 12 a k 0 a a a , a , a , a , a4.1012, a , a , a , , a , a , a , This filer is employed here o exrac he cyclical componens from he wo oupu series and real exchange raes, all of which conain single uni roos, alhough he 4
8 laer does no conain a drif: as we have poined ou above, i displays long swings raher han any rend. Our firs empirical modelling exercise, however, is o invesigae he relaionships beween he observed series. The presence of uni roos in he hree series opens he possibiliy ha he series are coinegraed, as implied by he equilibrium exchange rae models menioned in he inroducion, in which case hey can be modelled using a VECM framework. If hey are no coinegraed, hen a VAR in firs differences is appropriae. In fac, here appears o be no compelling evidence of coinegraion. For example, a likelihood raio es of he null of no coinegraing vecors agains he alernaive of here being one, wih a rend in he daa bu no in he coinegraing vecor, yields a es saisic of compared o a 5% criical value of We hus considered a VAR(2) in he differences, y, q, a y and second order being chosen by a sequenial hypohesis esing procedure. This seing is consisen wih he lag order used in he es for coinegraion repored above and is general enough o ensure ha he residuals from he esimaed VAR passed diagnosic ess for residual auocorrelaion, ec.. An implicaion of his framework is ha we are de-rending via firs differencing o use oupu growh raes and real exchange rae appreciaion. The impulse responses for his ordering of he variables are shown in Figure 3. (The correlaions beween he hree residual series are 0.15, and 0.07, respecively, so ha he impulse responses are virually unaffeced by alernaive orhogonalisaions.) When compared o heir wo sandard error bounds, only he response of y o an innovaion in y looks o be a all significan, which is no surprising, bu here does no appear o be any relaionship beween oupu growhs and real exchange rae appreciaion. 5
9 If he relaionship beween oupu and he real exchange rae is a cyclical one, hen using firs differences will remove mos of hese componens, so ha i is hardly surprising ha lile can be gleaned from Figure 3. Figure 4 presens pair-wise plos of he band-pass filered cyclical componens y, y and q, from which i can be seen ha lead-lag relaionships cerainly appear o be presen. Figure 5 presens he impulse responses from fiing a VAR(4) and using he above ordering. This lag order was again seleced o ensure ha all residual diagnosic checks were saisfied. I is clear ha here are imporan cyclical relaionships presen. Innovaions o y and y influence q wih approximaely seven and 13 quarer delays before he maximum response is fel. Innovaions o q, on he oher hand, have a much more mued effec on y and y. y responds o an innovaion in y wih a delay of around seven quarers, wih lile evidence of feedback. This is consisen wih he being a small counry relaive o he. The paern of causaliy would hus appear o run from o, wih a delay of seven quarers, and hence o q, wih a delay of anoher seven quarers. There is hen a weak feedback effec from q o y ha peaks afer a furher 12 quarers, and an even more mued effec on y y y afer anoher six quarers. This paern suggess ha over a hree-year ime horizon he exchange rae is driven by he relaive oupu cycle, which is consisen wih exchange rae heory and ha he subsequen feedback from he exchange rae o oupu is relaively weak. This weak feedback effec suggess ha any overvaluaion of serling akes approximaely hree years o affec oupu, bu even hen he effec is relaively small. 4 Conclusions This paper has demonsraed ha here is no long-run empirical relaionship beween he real dollar-serling exchange rae and relaive oupus, as may be expeced from a neo-keynesian approach o he equilibrium exchange rae. On he oher hand, i demonsraes a cyclical relaionship beween he real exchange rae and relaive oupus, where he direcion of causaliy is from oupus o he exchange rae, wih only weak feedback effecs. Thus he medium run relaionship is beween he cyclical componens of real oupus and he real exchange rae series and no he rends. This empirical resul may also be aken as supporive of he neo-keynesian, sicky-price model of he equilibrium exchange rae, if he benchmark is aken o be he business cycle and no he rend growh in oupus, while also explaining he rejecion of he neo-classical PPP hypohesis. References 6
10 Baxer, M. (1994), Real exchange raes and real ineres differenials. Have we missed he business-cycle relaionship Journal of Moneary Economics, 33, Baxer, M. and King, R.G. (1999), Measuring business cycles: Approximae bandpass filers for economic ime series, Review of Economics and Saisics, 81, Branson, W.H. and Buier, W. (1983), Moneary and fiscal policy wih flexible exchange raes, in J.S. Bhandri and B.H. Punam (eds), Economic Inerdependence and Flexible Exchange Raes, Cambridge Mass: MIT Press. Hodrick, R.J. and Presco, E.C. (1997), Pos-war U.S. business cycles: An empirical invesigaion, Journal of Money, Credi and Banking, 29, Mundell, R.A. (1963), Capial mobiliy and sabilisaion policy under fixed and flexible exchange raes, Canadian Journal of Economics and Poliical Science, 27, Pedersen, T.M. (2001), The Hodrick-Presco filer, he Sluzky effec, and he disorionary effec of filers, Journal of Economic Dynamics and Conrol, 25, Rogoff, K. (1996), The purchasing power pariy puzzle, Journal of Economic Lieraure, 34, Williamson, J. and Milner, C.R. (1991), The World Economy, London: Harveser- Wheasheaf. 7
11 12.2 U.S U.K Figure 1. U.K. and U.S. oupu Figure 2. Real exchange rae 8
12 Response o One S.D. Innovaions ± 2 S.E Response of D(Q) o D(Y) 0.06 Response of D(Q) o D(Y) Response of D(Y) o D(Q) Response of D(Y) o D(Y) Response of D(Y) o D(Q) Response of D(Y) o D(Y) Figure 3. Impulse responses from he VAR(2) of y (denoed D(Y)), (D(Y)) and q (D(Q)), surrounded by wo sandard error bounds. y 9
13 3 2 Oupu Cycle Real Dollar Cycle Real dollar cycle Oupu Cycle oupu cycle oupu cycle Figure 4. Cyclical componens, y, y and q. 10
14 Response o One S.D. Innovaions ± 2 S.E. Response of real dollar cycle o oupu cycle 0.03 Response of real dollar cycle o oupu cycle Response of oupu cycle o real dollar cycle Response of oupu cycle o oupu cycle Response of oupu cycle o real dollar cycle Response of oupu cycle o oupu cycle Figure 5. Impulse responses from he VAR(4) of wo sandard error bounds. y, y and q, surrounded by 11
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 informationVectorautoregressive 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 informationMean Reversion of Balance of Payments GEvidence from Sequential Trend Break Unit Root Tests. Abstract
Mean Reversion of Balance of Paymens GEvidence from Sequenial Trend Brea Uni Roo Tess Mei-Yin Lin Deparmen of Economics, Shih Hsin Universiy Jue-Shyan Wang Deparmen of Public Finance, Naional Chengchi
More informationMethodology. -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 informationIntroduction 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 informationTime 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 informationDepartment of Economics East Carolina University Greenville, NC Phone: Fax:
March 3, 999 Time Series Evidence on Wheher Adjusmen o Long-Run Equilibrium is Asymmeric Philip Rohman Eas Carolina Universiy Absrac The Enders and Granger (998) uni-roo es agains saionary alernaives wih
More informationDynamic 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 informationA unit root test based on smooth transitions and nonlinear adjustment
MPRA Munich Personal RePEc Archive A uni roo es based on smooh ransiions and nonlinear adjusmen Aycan Hepsag Isanbul Universiy 5 Ocober 2017 Online a hps://mpra.ub.uni-muenchen.de/81788/ MPRA Paper No.
More informationSolutions 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 informationEcon107 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 informationChapter 16. Regression with Time Series Data
Chaper 16 Regression wih Time Series Daa The analysis of ime series daa is of vial ineres o many groups, such as macroeconomiss sudying he behavior of naional and inernaional economies, finance economiss
More informationA 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 informationFinancial 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 informationHow to Deal with Structural Breaks in Practical Cointegration Analysis
How o Deal wih Srucural Breaks in Pracical Coinegraion Analysis Roselyne Joyeux * School of Economic and Financial Sudies Macquarie Universiy December 00 ABSTRACT In his noe we consider he reamen of srucural
More informationLicenciatura 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 informationDiebold, 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 informationSummer Term Albert-Ludwigs-Universität Freiburg Empirische Forschung und Okonometrie. Time Series Analysis
Summer Term 2009 Alber-Ludwigs-Universiä Freiburg Empirische Forschung und Okonomerie Time Series Analysis Classical Time Series Models Time Series Analysis Dr. Sevap Kesel 2 Componens Hourly earnings:
More informationLecture 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 informationR 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 informationThe 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 informationInternational 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 informationNonstationarity-Integrated Models. Time Series Analysis Dr. Sevtap Kestel 1
Nonsaionariy-Inegraed Models Time Series Analysis Dr. Sevap Kesel 1 Diagnosic Checking Residual Analysis: Whie noise. P-P or Q-Q plos of he residuals follow a normal disribuion, he series is called a Gaussian
More informationMultivariate Markov switiching common factor models for the UK
Loughborough Universiy Insiuional Reposiory Mulivariae Markov swiiching common facor models for he UK This iem was submied o Loughborough Universiy's Insiuional Reposiory by he/an auhor. Addiional Informaion:
More informationProperties 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 informationComparing 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 informationMacroeconomic 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 informationChapter 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 informationACE 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 informationExponential 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 informationTesting 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 informationVehicle 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 informationTime 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 informationA 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 informationNonstationary Time Series Data and Cointegration
ECON 4551 Economerics II Memorial Universiy of Newfoundland Nonsaionary Time Series Daa and Coinegraion Adaped from Vera Tabakova s noes 12.1 Saionary and Nonsaionary Variables 12.2 Spurious Regressions
More informationChapter 15. Time Series: Descriptive Analyses, Models, and Forecasting
Chaper 15 Time Series: Descripive Analyses, Models, and Forecasing Descripive Analysis: Index Numbers Index Number a number ha measures he change in a variable over ime relaive o he value of he variable
More informationThe Simple Linear Regression Model: Reporting the Results and Choosing the Functional Form
Chaper 6 The Simple Linear Regression Model: Reporing he Resuls and Choosing he Funcional Form To complee he analysis of he simple linear regression model, in his chaper we will consider how o measure
More informationStationary Time Series
3-Jul-3 Time Series Analysis Assoc. Prof. Dr. Sevap Kesel July 03 Saionary Time Series Sricly saionary process: If he oin dis. of is he same as he oin dis. of ( X,... X n) ( X h,... X nh) Weakly Saionary
More information1. Diagnostic (Misspeci cation) Tests: Testing the Assumptions
Business School, Brunel Universiy MSc. EC5501/5509 Modelling Financial Decisions and Markes/Inroducion o Quaniaive Mehods Prof. Menelaos Karanasos (Room SS269, el. 01895265284) Lecure Noes 6 1. Diagnosic
More informationForecasting optimally
I) ile: Forecas Evaluaion II) Conens: Evaluaing forecass, properies of opimal forecass, esing properies of opimal forecass, saisical comparison of forecas accuracy III) Documenaion: - Diebold, Francis
More informationE 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 informationOutline. lse-logo. Outline. Outline. 1 Wald Test. 2 The Likelihood Ratio Test. 3 Lagrange Multiplier Tests
Ouline Ouline Hypohesis Tes wihin he Maximum Likelihood Framework There are hree main frequenis approaches o inference wihin he Maximum Likelihood framework: he Wald es, he Likelihood Raio es and he Lagrange
More informationDealing with the Trilemma: Optimal Capital Controls with Fixed Exchange Rates
Dealing wih he Trilemma: Opimal Capial Conrols wih Fixed Exchange Raes by Emmanuel Farhi and Ivan Werning June 15 Ricardo Reis Columbia Universiy Porugal s challenge risk premium Porugal s challenge sudden
More informationProblem 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 informationLecture 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 informationOn 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 informationThis paper reports the near term forecasting power of a large Global Vector
Commen: Forecasing Economic and Financial Variables wih Global VARs by M. Hashem Pesaran, Till Schuermann and L. Venessa Smih. by Kajal Lahiri, Universiy a Albany, SUY, Albany, Y. klahiri@albany.edu This
More informationACE 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 informationFinancial 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 informationACE 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 informationSTATE-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 informationSolutions to Exercises in Chapter 12
Chaper in Chaper. (a) The leas-squares esimaed equaion is given by (b)!i = 6. + 0.770 Y 0.8 R R = 0.86 (.5) (0.07) (0.6) Boh b and b 3 have he expeced signs; income is expeced o have a posiive effec on
More informationA New Unit Root Test against Asymmetric ESTAR Nonlinearity with Smooth Breaks
Iran. Econ. Rev. Vol., No., 08. pp. 5-6 A New Uni Roo es agains Asymmeric ESAR Nonlineariy wih Smooh Breaks Omid Ranjbar*, sangyao Chang, Zahra (Mila) Elmi 3, Chien-Chiang Lee 4 Received: December 7, 06
More information20. 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 information23.5. Half-Range Series. Introduction. Prerequisites. Learning Outcomes
Half-Range Series 2.5 Inroducion In his Secion we address he following problem: Can we find a Fourier series expansion of a funcion defined over a finie inerval? Of course we recognise ha such a funcion
More informationChickens vs. Eggs: Replicating Thurman and Fisher (1988) by Arianto A. Patunru Department of Economics, University of Indonesia 2004
Chicens vs. Eggs: Relicaing Thurman and Fisher (988) by Ariano A. Paunru Dearmen of Economics, Universiy of Indonesia 2004. Inroducion This exercise lays ou he rocedure for esing Granger Causaliy as discussed
More informationUnit 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 informationFinal 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 information3.1.3 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 informationWednesday, November 7 Handout: Heteroskedasticity
Amhers College Deparmen of Economics Economics 360 Fall 202 Wednesday, November 7 Handou: Heeroskedasiciy Preview Review o Regression Model o Sandard Ordinary Leas Squares (OLS) Premises o Esimaion Procedures
More informationT. 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 informationProblem 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 informationA note on spurious regressions between stationary series
A noe on spurious regressions beween saionary series Auhor Su, Jen-Je Published 008 Journal Tile Applied Economics Leers DOI hps://doi.org/10.1080/13504850601018106 Copyrigh Saemen 008 Rouledge. This is
More informationMonetary 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 informationLONG MEMORY AT THE LONG-RUN AND THE SEASONAL MONTHLY FREQUENCIES IN THE US MONEY STOCK. Guglielmo Maria Caporale. Brunel University, London
LONG MEMORY AT THE LONG-RUN AND THE SEASONAL MONTHLY FREQUENCIES IN THE US MONEY STOCK Guglielmo Maria Caporale Brunel Universiy, London Luis A. Gil-Alana Universiy of Navarra Absrac In his paper we show
More informationDEPARTMENT 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 informationElectrical and current self-induction
Elecrical and curren self-inducion F. F. Mende hp://fmnauka.narod.ru/works.hml mende_fedor@mail.ru Absrac The aricle considers he self-inducance of reacive elemens. Elecrical self-inducion To he laws of
More informationStability. Coefficients may change over time. Evolution of the economy Policy changes
Sabiliy Coefficiens may change over ime Evoluion of he economy Policy changes Time Varying Parameers y = α + x β + Coefficiens depend on he ime period If he coefficiens vary randomly and are unpredicable,
More information1 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 informationMath 333 Problem Set #2 Solution 14 February 2003
Mah 333 Problem Se #2 Soluion 14 February 2003 A1. Solve he iniial value problem dy dx = x2 + e 3x ; 2y 4 y(0) = 1. Soluion: This is separable; we wrie 2y 4 dy = x 2 + e x dx and inegrae o ge The iniial
More informationSTRUCTURAL CHANGE IN TIME SERIES OF THE EXCHANGE RATES BETWEEN YEN-DOLLAR AND YEN-EURO IN
Inernaional Journal of Applied Economerics and Quaniaive Sudies. Vol.1-3(004) STRUCTURAL CHANGE IN TIME SERIES OF THE EXCHANGE RATES BETWEEN YEN-DOLLAR AND YEN-EURO IN 001-004 OBARA, Takashi * Absrac The
More informationNCSS Statistical Software. , contains a periodic (cyclic) component. A natural model of the periodic component would be
NCSS Saisical Sofware Chaper 468 Specral Analysis Inroducion This program calculaes and displays he periodogram and specrum of a ime series. This is someimes nown as harmonic analysis or he frequency approach
More informationA 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 informationPhysics 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 informationOBJECTIVES 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 informationCurrent Accounts in the Euro Area: An Intertemporal Approach * José Manuel Campa IESE Business School. and
Curren Accouns in he Euro Area: An Ineremporal Approach José Manuel Campa IESE Business School and Angel Gavilán Servicio de Esudios Banco de España February 2007 Absrac This paper uses an ineremporal
More informationAppendix 14.1 The optimal control problem and its solution using
1 Appendix 14.1 he opimal conrol problem and is soluion using he maximum principle NOE: Many occurrences of f, x, u, and in his file (in equaions or as whole words in ex) are purposefully in bold in order
More informationESTIMATION OF DYNAMIC PANEL DATA MODELS WHEN REGRESSION COEFFICIENTS AND INDIVIDUAL EFFECTS ARE TIME-VARYING
Inernaional Journal of Social Science and Economic Research Volume:02 Issue:0 ESTIMATION OF DYNAMIC PANEL DATA MODELS WHEN REGRESSION COEFFICIENTS AND INDIVIDUAL EFFECTS ARE TIME-VARYING Chung-ki Min Professor
More informationTwo Coupled Oscillators / Normal Modes
Lecure 3 Phys 3750 Two Coupled Oscillaors / Normal Modes Overview and Moivaion: Today we ake a small, bu significan, sep owards wave moion. We will no ye observe waves, bu his sep is imporan in is own
More information3.1 More on model selection
3. More on Model selecion 3. Comparing models AIC, BIC, Adjused R squared. 3. Over Fiing problem. 3.3 Sample spliing. 3. More on model selecion crieria Ofen afer model fiing you are lef wih a handful of
More informationMorning Time: 1 hour 30 minutes Additional materials (enclosed):
ADVANCED GCE 78/0 MATHEMATICS (MEI) Differenial Equaions THURSDAY JANUARY 008 Morning Time: hour 30 minues Addiional maerials (enclosed): None Addiional maerials (required): Answer Bookle (8 pages) Graph
More informationGranger Causality Among Pre-Crisis East Asian Exchange Rates. (Running Title: Granger Causality Among Pre-Crisis East Asian Exchange Rates)
Granger Causaliy Among PreCrisis Eas Asian Exchange Raes (Running Tile: Granger Causaliy Among PreCrisis Eas Asian Exchange Raes) Joseph D. ALBA and Donghyun PARK *, School of Humaniies and Social Sciences
More informationDerived 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 information15. 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 informationADVANCED 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 informationThe Properties of Procedures Dealing with Uncertainty about Intercept and Deterministic Trend in Unit Root Testing
CESIS Elecronic Working Paper Series Paper No. 214 The Properies of Procedures Dealing wih Uncerainy abou Inercep and Deerminisic Trend in Uni Roo Tesing R. Sco Hacker* and Abdulnasser Haemi-J** *Jönköping
More informationOnline 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 informationPolicy 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 informationFall 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 informationMatlab and Python programming: how to get started
Malab and Pyhon programming: how o ge sared Equipping readers he skills o wrie programs o explore complex sysems and discover ineresing paerns from big daa is one of he main goals of his book. In his chaper,
More informationRobust 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 informationReal Exchange Rate Behavior: Evidence From Malaysia, Singapore, and Thailand. Kit Soon Tan, Lan Thi Phuong Nguyen
Economics World, Ocober 2015, Vol. 3, No. 9-10, 195-208 doi: 10.17265/2328-7144/2015.0910.001 D DAVID PUBLISHING Real Exchange Rae Behavior: Evidence From Malaysia, Singapore, and Thailand Ki Soon Tan,
More informationLecture 3: Exponential Smoothing
NATCOR: Forecasing & Predicive Analyics Lecure 3: Exponenial Smoohing John Boylan Lancaser Cenre for Forecasing Deparmen of Managemen Science Mehods and Models Forecasing Mehod A (numerical) procedure
More informationFITTING OF A PARTIALLY REPARAMETERIZED GOMPERTZ MODEL TO BROILER DATA
FITTING OF A PARTIALLY REPARAMETERIZED GOMPERTZ MODEL TO BROILER DATA N. Okendro Singh Associae Professor (Ag. Sa.), College of Agriculure, Cenral Agriculural Universiy, Iroisemba 795 004, Imphal, Manipur
More informationChapter 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 informationExercise: Building an Error Correction Model of Private Consumption. Part II Testing for Cointegration 1
Bo Sjo 200--24 Exercise: Building an Error Correcion Model of Privae Consumpion. Par II Tesing for Coinegraion Learning objecives: This lab inroduces esing for he order of inegraion and coinegraion. The
More informationNBER WORKING PAPER SERIES EXCHANGE RATES AND FUNDAMENTALS. Charles Engel Kenneth D. West. Working Paper
NBER WORKING PAPER SERIES EXCHANGE RATES AND FUNDAMENTALS Charles Engel Kenneh D. Wes Working Paper 10723 hp://www.nber.org/papers/w10723 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachuses Avenue Cambridge,
More informationLecture 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 informationBias 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 informationEXERCISES FOR SECTION 1.5
1.5 Exisence and Uniqueness of Soluions 43 20. 1 v c 21. 1 v c 1 2 4 6 8 10 1 2 2 4 6 8 10 Graph of approximae soluion obained using Euler s mehod wih = 0.1. Graph of approximae soluion obained using Euler
More information