Monetary Policy Analysis in a Small Open Economy: A Dynamic Stochastic General Equilibrium Approach

Vitek, Francis (2006): Monetary Policy Analysis in a Small Open Economy: A Dynamic Stochastic General Equilibrium Approach. Unpublished.

Abstract

This paper develops and estimates a dynamic stochastic general equilibrium model of a small open economy which approximately accounts for the empirical evidence concerning the monetary transmission mechanism, as summarized by impulse response functions derived from an estimated structural vector autoregressive model, while dominating that structural vector autoregressive model in terms of predictive accuracy. The model features short run nominal price and wage rigidities generated by monopolistic competition and staggered reoptimization in output and labour markets. The resultant inertia in inflation and persistence in output is enhanced with other features such as habit persistence in consumption, adjustment costs in investment, and variable capital utilization. Incomplete exchange rate pass through is generated by monopolistic competition and staggered reoptimization in the import market. Cyclical components are modeled by linearizing equilibrium conditions around a stationary deterministic steady state equilibrium, while trend components are modeled as random walks while ensuring the existence of a well defined balanced growth path. Parameters and trend components are jointly estimated with a novel Bayesian full information maximum likelihood procedure.

• Item Type: MPRA Paper
• Language: English
• Keywords: Monetary policy analysis; Inflation targeting; Small open economy; Dynamic stochastic general equilibrium model; Monetary transmission mechanism; Forecast performance evaluation
• Subjects: C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C11 - Bayesian Analysis; E - Macroeconomics and Monetary Economics > E5 - Monetary Policy, Central Banking, and the Supply of Money and Credit > E52 - Monetary Policy (Targets, Instruments, and Effects); F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F41 - Open Economy Macroeconomics; C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods: General > C13 - Estimation; F - International Economics > F4 - Macroeconomic Aspects of International Trade and Finance > F47 - Forecasting and Simulation; C - Mathematical and Quantitative Methods > C3 - Econometric Methods: Multiple; Simultaneous Equation Models; Multiple Variables; Endogenous Regressors > C32 - Time-Series Models; Dynamic Quantile Regressions

References

Adolfson, M. (2001), Monetary policy with incomplete exchange rate pass-through, Stockholm School of Economics Working Paper, 476. Akaike, H. (1974), A new look at the statistical model identification, IEEE Transactions on Automatic Control, 19, 716-723. Altig, D., L. Christiano, M. Eichenbaum and J. Linde (2005), Firm-specific capital, nominal rigidities and the business cycle, Federal Reserve Bank of Chicago Working Paper, 1. An, S. and F. Schorfheide (2006), Bayesian analysis of DSGE models, Federal Reserve Bank of Philadelphia Working Paper, 5. Benigno, G. and P. Benigno (2002), Implementing monetary cooperation though inflation targeting, CEPR Discussion Paper, 3226. Betts, C. and M. Devereux (2000), Exchange rate dynamics in a model with pricing-to-market, Journal of International Economics, 50, 215-244. Calvo, G. (1983), Staggered prices in a utility-maximizing framework, Journal of Monetary Economics, 12, 983-998. Campa, J. and L. Goldberg (2002), Exchange rate pass-through into import prices: A macro or micro phenomenon, Unpublished Manuscript. Christiano, L., M. Eichenbaum and C. Evans (1998), Monetary policy shocks: What have we learned and to what end?, NBER Working Paper, 6400. Christiano, L., M. Eichenbaum and C. Evans (2005), Nominal rigidities and the dynamic effects of a shock to monetary policy, Journal of Political Economy, 113, 1-45. Clarida, R. and M. Gertler (1997), How the Bundesbank conducts monetary policy, Reducing Inflation: Motivation and Strategy, University of Chicago Press. Clarida, R., J. Galí and M. Gertler (2001), Optimal monetary policy in open versus closed economies: An integrated approach, American Economic Review, 91, 253-257. Clarida, R., J. Galí and M. Gertler (2002), A simple framework for international monetary policy analysis, Journal of Monetary Economics, 49, 877-904. Clements, M. and D. Hendry (1998), Forecasting Economic Time Series, Cambridge University Press. Clements, M. and D. Hendry (1999), Forecasting Non-stationary Economic Time Series, MIT Press. Cobb, C. and P. Douglas (1928), A theory of production, American Economic Review, 18, 139-165. Corsetti, G. and P. Pesenti (2002), International dimensions of optimal monetary policy, Unpublished Manuscript. Cushman, D. and T. Zha (1997), Identifying monetary policy in a small open economy under flexible exchange rates, Journal of Monetary Economics, 39, 433-448. Diebold, F. and R. Mariano (1995), Comparing predictive accuracy, Journal of Business and Economic Statistics, 13, 253-263. Eichenbaum, M. and C. Evans (1995), Some empirical evidence on the effects of shocks to monetary policy on exchange rates, Quarterly Journal of Economics, 110, 1975-1010. Engle, R. and M. Watson (1981), A one-factor multivariate time series model of metropolitan wage rates, Journal of the American Statistical Association, 76, 774-781. Erceg, C., D. Henderson and A. Levin (2000), Optimal monetary policy with staggered wage and price contracts, Journal of Monetary Economics, 46, 281-313. Gertler, M., S. Gilchrist and F. Natalucci (2001), External constraints on monetary policy and the financial accelerator, Unpublished Manuscript. Geweke, J. (2005), Contemporary Bayesian Econometrics and Statistics, Wiley. Goodfriend, M. and R. King (1997), The new neoclassical synthesis and the role of monetary policy, NBER Macroeconomics Annual, 231-283. Gordon, D. and E. Leeper (1994), The dynamic impacts of monetary policy: An exercise in tentative identification, Journal of Political Economy, 102, 1228-1247. Hamilton, J. (1994), Time Series Analysis, Princeton University Press. Hannan, E. and B. Quinn (1979), The determination of the order of an autoregression, Journal of the Royal Statistical Society, 190-195. Harvey, A. (1997), Trends, cycles, and autoregressions, Economic Journal, 107, 192-201. Harvey, A. and A. Jaeger (1993), Detrending, stylized facts and the business cycle, Journal of Applied Econometrics, 8, 231-247. Hodrick, R. and E. Prescott (1997), Post-war U.S. business cycles: A descriptive empirical investigation, Journal of Money, Credit, and Banking, 29, 1-16. Ireland, P. (1997), A small, structural, quarterly model for monetary policy evaluation, Carnegie-Rochester Conference Series on Public Policy, 47, 83-108. Kalman, R. (1960), A new approach to linear filtering and prediction problems, Transactions ASME Journal of Basic Engineering, 82, 35-45. Kim, S. and N. Roubini (1995), Liquidity and exchange rates: A structural VAR approach, Unpublished Manuscript. Klein, P. (2000), Using the generalized Schur form to solve a multivariate linear rational expectations model, Journal of Economic Dynamics and Control, 24, 1405-1423. Kollman, R. (2001), The exchange rate in a dynamic-optimizing business cycle model with nominal rigidities, Journal of International Economics, 55, 243-262. Leeper, E., C. Sims and T. Zha (1996), What does monetary policy do?, Brookings Papers on Economic Activity, 2, 1-63. Maddala, G. and I. Kim (1998), Unit Roots, Cointegration, and Structural Change, Cambridge University Press. McCallum, B. and E. Nelson (1999), An optimizing IS-LM specification for monetary policy and business cycle analysis, Journal of Money, Credit, and Banking, 31, 296-316. McCallum, B. and E. Nelson (2000), Monetary policy for an open economy: An alternative framework with optimizing agents and sticky prices, Oxford Review of Economic Policy, 16, 74-91. Monacelli, T. (2005), Monetary policy in a low pass-through environment, Journal of Money, Credit, and Banking, 37, 1047-1066. Nelson, C. and H. Kang (1981), Spurious periodicity in inappropriately detrended time series, Econometrica, 49, 741-751. Newey, W. and K. West (1987), A simple, positive semi-definite, heteroskedasticity and autocorrelation consistent covariance matrix, Econometrica, 55, 703-708. Obstfeld, M. and K. Rogoff (1995), Exchange rate dynamics redux, Journal of Political Economy, 103, 624-660. Obstfeld, M. and K. Rogoff (1996), Foundations of International Macroeconomics, MIT Press. Rotemberg, J. and M. Woodford (1995), Dynamic general equilibrium models with imperfectly competitive product markets, Frontiers of Business Cycle Research, Princeton University Press. Rotemberg, J. and M. Woodford (1997), An optimization-based econometric framework for the evaluation of monetary policy, NBER Macroeconomics Annual, MIT Press. Ruge-Murcia, F. (2003), Methods to estimate dynamic stochastic general equilibrium models, CIREQ Working Paper, 17. Schwarz, G. (1978), Estimating the dimension of a model, Annals of Statistics, 6, 461-464. Sims, C. and T. Zha (1995), Does monetary policy generate recessions?, Unpublished Manuscript. Smets, F. and R. Wouters (2003), An estimated dynamic stochastic general equilibrium model of the Euro area, Journal of the European Economic Association, 1, 1123-1175. Smets, F. and R. Wouters (2005), Comparing shocks and frictions in US and Euro area business cycles: A Bayesian DSGE approach, Journal of Applied Econometrics, 20, 161-183. Vitek, F. (2006a), An unobserved components model of the monetary transmission mechanism in a closed economy, Unpublished Manuscript. Vitek, F. (2006b), An unobserved components model of the monetary transmission mechanism in a small open economy, Unpublished Manuscript. Woodford, M. (2003), Interest and Prices: Foundations of a Theory of Monetary Policy, Princeton University Press. Yun, T. (1996), Nominal price rigidity, money supply endogeneity, and business cycles, Journal of Monetary Economics, 37, 345-370.