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A common model approach to macroeconomics: using panel data to reduce sampling error

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  • William T. Gavin
  • Athena T. Theodorou

Abstract

Is there a common model inherent in macroeconomic data? Macroeconomic theory suggests that market economies of various nations should share many similar dynamic patterns; as a result, individual-country empirical models, for a wide variety of countries often include the same variables. Yet, empirical studies often find important roles for idiosyncratic shocks in the differing macroeconomic performance of countries. We use forecasting criteria to examine the macro-dynamic behavior of 15 OECD countries in terms of a small set of familiar, widely–used core economic variables, omitting country-specific shocks. We find this small set of variables and a simple VAR “common model” strongly supports the hypothesis that many industrialized nations have similar macroeconomic dynamics.

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Bibliographic Info

Paper provided by Federal Reserve Bank of St. Louis in its series Working Papers with number 2003-045.

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Date of creation: 2004
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Publication status: Published in Journal of Forecasting, April 2005, 24(3), pp. 203-19
Handle: RePEc:fip:fedlwp:2003-045

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Keywords: Time-series analysis ; Forecasting;

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References

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  1. James H. Stock & Mark W.Watson, 2003. "Forecasting Output and Inflation: The Role of Asset Prices," Journal of Economic Literature, American Economic Association, vol. 41(3), pages 788-829, September.
  2. Fabio Canova & Matteo Ciccarelli, 2000. "Forecasting And Turning Point Predictions In A Bayesian Panel Var Model," Working Papers. Serie AD 2000-05, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
  3. Thomas Doan & Robert B. Litterman & Christopher A. Sims, 1986. "Forecasting and conditional projection using realistic prior distribution," Staff Report 93, Federal Reserve Bank of Minneapolis.
  4. Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999. "Monetary policy shocks: What have we learned and to what end?," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148 Elsevier.
  5. Francis X. Diebold & Robert S. Mariano, 1994. "Comparing Predictive Accuracy," NBER Technical Working Papers 0169, National Bureau of Economic Research, Inc.
  6. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  7. David K. Backus & Patrick J. Kehoe, 1991. "International evidence on the historical properties of business cycles," Staff Report 145, Federal Reserve Bank of Minneapolis.
  8. Fiorito, Riccardo & Kollintzas, Tryphon, 1992. "Stylized Facts of Business Cycles in the G7 from a Real Business Cycles Perspective," CEPR Discussion Papers 681, C.E.P.R. Discussion Papers.
  9. Canova, Fabio, 2002. "G-7 Inflation Forecasts," CEPR Discussion Papers 3283, C.E.P.R. Discussion Papers.
  10. Michael D. Bordo & John Landon Lane & Angela Redish, 2004. "Good versus Bad Deflation: Lessons from the Gold Standard Era," NBER Working Papers 10329, National Bureau of Economic Research, Inc.
  11. Thursby, Jerry G., 1987. "OLS or GLS in the presence of specification error? : An expected loss approach," Journal of Econometrics, Elsevier, vol. 35(2-3), pages 359-374, July.
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Cited by:
  1. Luca Agnello & Ricardo M. Sousa, 2013. "Fiscal Policy And Asset Prices," Bulletin of Economic Research, Wiley Blackwell, vol. 65(2), pages 154-177, 04.
  2. Gert Peersman, 2012. "Effectiveness of Unconventional Monetary Policy at the Zero Lower Bound," 2012 Meeting Papers 400, Society for Economic Dynamics.
  3. Badi H. Baltagi, 2008. "Forecasting with panel data," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(2), pages 153-173.
  4. Hristov, Nikolay & Hülsewig, Oliver & Wollmershäuser, Timo, 2012. "Loan supply shocks during the financial crisis: Evidence for the Euro area," Journal of International Money and Finance, Elsevier, vol. 31(3), pages 569-592.
  5. William T. Gavin & David M. Kemme, 2007. "Using extraneous information to analyze monetary policy in transition economies," Working Papers 2004-034, Federal Reserve Bank of St. Louis.
  6. L. Gambacorta & B. Hofmann & G. Peersman, 2011. "The Effectiveness of Unconventional Monetary Policy at the Zero Lower Bound: A Cross-Country Analysis," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 11/765, Ghent University, Faculty of Economics and Business Administration.
  7. Tuomas A. Peltonen & Ricardo M. Sousa & Isabel S. Vansteenkiste, 2011. "Fundamentals, Financial Factors, and the Dynamics of Investment in Emerging Markets," Emerging Markets Finance and Trade, M.E. Sharpe, Inc., vol. 47(0), pages 88-105, May.
  8. Galvao Jr., Antonio F., 2011. "Quantile regression for dynamic panel data with fixed effects," Journal of Econometrics, Elsevier, vol. 164(1), pages 142-157, September.

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