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

  • William T. Gavin
  • Athena T. Theodorou

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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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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  1. 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.
  2. 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.
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  7. Sims, Christopher A, 1980. "Macroeconomics and Reality," Econometrica, Econometric Society, vol. 48(1), pages 1-48, January.
  8. David K. Backus & Patrick J. Kehoe, 1991. "International evidence on the historical properties of business cycles," Staff Report 145, Federal Reserve Bank of Minneapolis.
  9. Fabio Canova & Matteo Ciccarelli, 1999. "Forecasting and turning point predictions in a Bayesian panel VAR model," Economics Working Papers 443, Department of Economics and Business, Universitat Pompeu Fabra.
  10. 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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