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The Monetary Exchange Rate Model as a Long-Run Phenomenon

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  • Jan J.J. Groen

    (Erasmus University Rotterdam)

Abstract

Pure time series-based tests fail to find empirical support formonetary exchange rate models. In this paper we apply pooled timeseries estimation on a forward-looking monetary model, resulting inparameter estimates which are in compliance with the underlyingtheory. Based on a panel version of the Engle and Granger (1987) two-stepprocedure we find that the residuals of our pooled estimated modelare stationary. This indicates that on a pooled time series levelthere is cointegration between the exchange rate and themacroeconomic fundamentals of this monetary model.

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Bibliographic Info

Paper provided by Tinbergen Institute in its series Tinbergen Institute Discussion Papers with number 98-082/2.

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Date of creation: 30 Jul 1998
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Handle: RePEc:dgr:uvatin:19980082

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Web page: http://www.tinbergen.nl

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  1. Mussa, Michael, 1976. " The Exchange Rate, the Balance of Payments and Monetary and Fiscal Policy under a Regime of Controlled Floating," Scandinavian Journal of Economics, Wiley Blackwell, vol. 78(2), pages 229-48.
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  3. Oh, Keun-Yeob, 1996. "Purchasing power parity and unit root tests using panel data," Journal of International Money and Finance, Elsevier, vol. 15(3), pages 405-418, June.
  4. Craig S. Hakkio & Mark Rush, 1990. "Cointegration: how short is the long run?," Research Working Paper 90-08, Federal Reserve Bank of Kansas City.
  5. Jan J.J. Groen, 1998. "The Monetary Exchange Rate Model as a Long-Run Phenomenon," Tinbergen Institute Discussion Papers 98-082/2, Tinbergen Institute.
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  10. Meese, Richard A. & Rogoff, Kenneth, 1983. "Empirical exchange rate models of the seventies : Do they fit out of sample?," Journal of International Economics, Elsevier, vol. 14(1-2), pages 3-24, February.
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  12. Koedijk, C.G. & Schotman, P., 1990. "How to beat the random walk: An empirical model of real exchange rates," Open Access publications from Tilburg University urn:nbn:nl:ui:12-3108720, Tilburg University.
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  14. Koedijk, Kees G. & Schotman, Peter, 1990. "How to beat the random walk : An empirical model of real exchange rates," Journal of International Economics, Elsevier, vol. 29(3-4), pages 311-332, November.
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  20. Berben, R-P. & van Dijk, D.J.C., 1998. "Does the absence of cointegration explain the typical findings in long horizon regressions?," Econometric Institute Research Papers EI 9814, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
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  23. Jan J. J. Groen, 1999. "Long horizon predictability of exchange rates: Is it for real?," Empirical Economics, Springer, vol. 24(3), pages 451-469.
  24. Chinn, Menzie D. & Meese, Richard A., 1995. "Banking on currency forecasts: How predictable is change in money?," Journal of International Economics, Elsevier, vol. 38(1-2), pages 161-178, February.
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  26. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
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