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The Fisher Effect Puzzle: A Case of Non-Linear Relationship?

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  • Stephen Hall
  • George Hondroyiannis
  • P. Swamy
  • George Tavlas

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  • Stephen Hall & George Hondroyiannis & P. Swamy & George Tavlas, 2010. "The Fisher Effect Puzzle: A Case of Non-Linear Relationship?," Open Economies Review, Springer, vol. 21(1), pages 91-103, February.
    • Handle: RePEc:kap:openec:v:21:y:2010:i:1:p:91-103
    DOI: 10.1007/s11079-009-9157-1
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    References listed on IDEAS

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    1. repec:ebl:ecbull:v:3:y:2005:i:9:p:1-8 is not listed on IDEAS
    2. Basmann, R. L., 1988. "Causality tests and observationally equivalent representations of econometric models," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 69-104.
    3. Swamy P. A. V. B. & Tavlas George S & Hall Stephen G. F. & Hondroyiannis George, 2010. "Estimation of Parameters in the Presence of Model Misspecification and Measurement Error," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(3), pages 1-35, May.
    4. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
    5. Zellner, Arnold, 1988. "Causality and causal laws in economics," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 7-21.
    6. Markku Lanne, 2006. "Nonlinear dynamics of interest rate and inflation," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 21(8), pages 1157-1168, December.
    7. Swamy, P A V B & Tavlas, George S, 1995. "Random Coefficient Models: Theory and Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 9(2), pages 165-196, June.
    8. Dimitris K. Christopoulos & Miguel A. Le√N-Ledesma, 2007. "A Long-Run Non-Linear Approach to the Fisher Effect," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(2-3), pages 543-559, March.
    9. Million, Nicolas, 2004. "Central Bank's interventions and the Fisher hypothesis: a threshold cointegration investigation," Economic Modelling, Elsevier, vol. 21(6), pages 1051-1064, December.
    10. Stephen G. Hall & George Hondroyiannis & P. A. V. B. Swamy & G. S. Tavlas, 2009. "The New Keynesian Phillips Curve and Lagged Inflation: A Case of Spurious Correlation?," Southern Economic Journal, John Wiley & Sons, vol. 76(2), pages 467-481, October.
    11. Zellner, Arnold, 1979. "Causality and econometrics," Carnegie-Rochester Conference Series on Public Policy, Elsevier, vol. 10(1), pages 9-54, January.
    12. I-Lok Chang & P.A.V.B. Swamy & Charles Hallahan & George S. Tavlas, 2000. "A Computational Approach to Finding Causal Economic Laws," Computational Economics, Springer;Society for Computational Economics, vol. 16(1/2), pages 105-136, October.
    13. Daiki Maki, 2005. "Asymmetric adjustment of the equilibrium relationship between the nominal interest rate and inflation rate," Economics Bulletin, AccessEcon, vol. 3(9), pages 1-8.
    14. Hondroyiannis, George & Swamy, P.A.V.B. & Tavlas, George S., 2009. "The New Keynesian Phillips Curve In A Time-Varying Coefficient Environment: Some European Evidence," Macroeconomic Dynamics, Cambridge University Press, vol. 13(2), pages 149-166, April.
    15. Granger, C. W. J. & Newbold, P., 1974. "Spurious regressions in econometrics," Journal of Econometrics, Elsevier, vol. 2(2), pages 111-120, July.
    16. Pratt, John W. & Schlaifer, Robert, 1988. "On the interpretation and observation of laws," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 23-52.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Chien-Chiang Lee & An-Hsing Chang, 2013. "Revisiting the demand for money function: evidence from the random coefficients approach," Quantitative Finance, Taylor & Francis Journals, vol. 13(9), pages 1491-1502, September.
    2. Hall, Stephen G. & Kenjegaliev, Amangeldi & Swamy, P.A.V.B. & Tavlas, George S., 2013. "Measuring currency pressures: The cases of the Japanese yen, the Chinese yuan, and the UK pound," Journal of the Japanese and International Economies, Elsevier, vol. 29(C), pages 1-20.
    3. Burak Güriş & Yaşar Yaşgül, 2015. "Does the Fisher hypothesis hold for the G7 countries? Evidence from ADL threshold cointegration test," Quality & Quantity: International Journal of Methodology, Springer, vol. 49(6), pages 2549-2557, November.
    4. Stephen G. Hall & Heather D. Gibson & G. S. Tavlas & Mike G. Tsionas, 2020. "A Monte Carlo Study of Time Varying Coefficient (TVC) Estimation," Computational Economics, Springer;Society for Computational Economics, vol. 56(1), pages 115-130, June.
    5. Arslanturk, Yalcin & Balcilar, Mehmet & Ozdemir, Zeynel Abidin, 2011. "Time-varying linkages between tourism receipts and economic growth in a small open economy," Economic Modelling, Elsevier, vol. 28(1-2), pages 664-671, January.
    6. Sunal, Onur, 2022. "The efficiency of primary sovereign bond markets in Turkey: The so-called Fisher puzzle reconsidered," Economic Analysis and Policy, Elsevier, vol. 73(C), pages 255-261.
    7. El-Shagi, Makram, 2011. "Inflation expectations: Does the market beat econometric forecasts?," The North American Journal of Economics and Finance, Elsevier, vol. 22(3), pages 298-319.
    8. Soon, Siew-Voon & Baharumshah, Ahmad Zubaidi & Mohamad Shariff, Nurul Sima, 2017. "The persistence in real interest rates: Does it solve the intertemporal consumption behavior puzzle?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 50(C), pages 36-51.

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    More about this item

    Keywords

    Fisher equation; Time-varying coefficients; Spurious relationships; C51; E43;
    All these keywords.

    JEL classification:

    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects

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