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On the Pitfalls of Untested Common-Factor Restrictions: The Case of the Inverted Fisher Hypothesis

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  • Hoover, Kevin D

Abstract

The dangers of incorrectly imposing common-factor restrictions through the use o f the Cochrane-Orcutt transformation are illustrated using J. Carmich ael and P. Stebbing's (1983) analysis of the inverted Fisher hypothes is. Empirical evidence that the nominal rate of interest is unrelated to the rate of inflation is examined and found to be the result of a n invalid common-factor restriction. A better-specified model indicat es a direct, though not one-for-one, relationship. Copyright 1988 by Blackwell Publishing Ltd

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  • Hoover, Kevin D, 1988. "On the Pitfalls of Untested Common-Factor Restrictions: The Case of the Inverted Fisher Hypothesis," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 50(2), pages 125-138, May.
    • Handle: RePEc:bla:obuest:v:50:y:1988:i:2:p:125-38
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    Citations

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    Cited by:

    1. Anya McGuirk & Aris Spanos, 2009. "Revisiting Error‐Autocorrelation Correction: Common Factor Restrictions and Granger Non‐Causality," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 71(2), pages 273-294, April.
    2. Robert C. Feenstra & Jon D. Kendall, 1991. "Exchange Rate Volatility and International Prices," NBER Working Papers 3644, National Bureau of Economic Research, Inc.
    3. Kevin D. Hoover & Stephen J. Perez, 1999. "Data mining reconsidered: encompassing and the general-to-specific approach to specification search," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 167-191.
    4. Kevin D. Hoover & Stephen J. Perez, 1999. "Data mining reconsidered: encompassing and the general-to-specific approach to specification search," Econometrics Journal, Royal Economic Society, vol. 2(2), pages 167-191.
    5. McGuirk, Anya M. & Spanos, Aris, 2002. "The Linear Regression Model With Autocorrelated Errors: Just Say No To Error Autocorrelation," 2002 Annual meeting, July 28-31, Long Beach, CA 19905, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    6. McGuirk, Anya M. & Spanos, Aris, 2004. "Revisiting Error Autocorrelation Correction: Common Factor Restrictions And Granger Causality," 2004 Annual meeting, August 1-4, Denver, CO 20176, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    7. Muhammed TIRAŞOĞLU, 2018. "Fisher Hipotezinin MINT Ülkeleri İçin İncelenmesi: Eşik Değerli Adl Eşbütünleşme Testi Yaklaşımı," EKOIST Journal of Econometrics and Statistics, Istanbul University, Faculty of Economics, vol. 14(28), pages 31-43, December.
    8. Bhatti, Razzaque H., 2014. "The existence of uncovered interest parity in the CIS countries," Economic Modelling, Elsevier, vol. 40(C), pages 227-241.
    9. Mizon, Grayham E., 1995. "A simple message for autocorrelation correctors: Don't," Journal of Econometrics, Elsevier, vol. 69(1), pages 267-288, September.

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