IDEAS home Printed from https://ideas.repec.org/p/ecb/ecbwps/20091013.html
   My bibliography  Save this paper

Structural breaks, cointegration and the Fisher effect

Author

Listed:
  • Beyer, Andreas
  • Dewald, William G.
  • Haug, Alfred A.

Abstract

There is scant empirical support in the literature for the Fisher effect in the long run, though it is often assumed in theoretical models. We argue that a break in the cointegrating relation introduces a spurious unit root that leads to a rejection of cointegration. We applied new break tests and tested for nonlinearity in the cointegrating relation with post-war data for 15 countries. Our empirical results support cointegration, after accounting for breaks, and a linear Fisher relation in the long run. This is in contrast to several recent studies that found no support for linear cointegration. JEL Classification: E43, C32

Suggested Citation

  • Beyer, Andreas & Dewald, William G. & Haug, Alfred A., 2009. "Structural breaks, cointegration and the Fisher effect," Working Paper Series 1013, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:20091013
    as

    Download full text from publisher

    File URL: https://www.ecb.europa.eu/pub/pdf/scpwps/ecbwp1013.pdf
    Download Restriction: no

    References listed on IDEAS

    as
    1. Johansen, S ren, 2000. "A Bartlett Correction Factor For Tests On The Cointegrating Relations," Econometric Theory, Cambridge University Press, vol. 16(05), pages 740-778, October.
    2. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, pages 99-126.
    3. Alan M. Taylor & Mark P. Taylor, 2004. "The Purchasing Power Parity Debate," Journal of Economic Perspectives, American Economic Association, pages 135-158.
    4. Adrien Verdelhan, 2010. "A Habit-Based Explanation of the Exchange Rate Risk Premium," Journal of Finance, American Finance Association, vol. 65(1), pages 123-146, February.
    5. Barro, Robert J & Sahasakul, Chaipat, 1986. "Average Marginal Tax Rates from Social Security and the Individual Income Tax," The Journal of Business, University of Chicago Press, vol. 59(4), pages 555-566, October.
    6. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    7. Weber, Axel A, 1994. "Testing Long-run Neutrality: Empirical Evidence for G7 Countries with Special Emphasis on Germany," CEPR Discussion Papers 1042, C.E.P.R. Discussion Papers.
    8. Kejriwal, Mohitosh & Perron, Pierre, 2010. "Testing for Multiple Structural Changes in Cointegrated Regression Models," Journal of Business & Economic Statistics, American Statistical Association, vol. 28(4), pages 503-522.
    9. MacKinnon, James G & Haug, Alfred A & Michelis, Leo, 1999. "Numerical Distribution Functions of Likelihood Ratio Tests for Cointegration," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 14(5), pages 563-577, Sept.-Oct.
    10. Christopher J. Neely & David E. Rapach, 2008. "Real interest rate persistence: evidence and implications," Review, Federal Reserve Bank of St. Louis, issue Nov, pages 609-642.
    11. Stock, James H & Watson, Mark W, 1993. "A Simple Estimator of Cointegrating Vectors in Higher Order Integrated Systems," Econometrica, Econometric Society, vol. 61(4), pages 783-820, July.
    12. De Gregorio, Jose & Giovannini, Alberto & Wolf, Holger C., 1994. "International evidence on tradables and nontradables inflation," European Economic Review, Elsevier, pages 1225-1244.
    13. Rapach, David E, 2003. " International Evidence on the Long-Run Impact of Inflation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 35(1), pages 23-48, February.
    14. Rose, Andrew Kenan, 1988. " Is the Real Interest Rate Stable?," Journal of Finance, American Finance Association, vol. 43(5), pages 1095-1112, December.
    15. Perron, Pierre, 1989. "The Great Crash, the Oil Price Shock, and the Unit Root Hypothesis," Econometrica, Econometric Society, vol. 57(6), pages 1361-1401, November.
    16. Gary Koop & Simon M. Potter, 2001. "Are apparent findings of nonlinearity due to structural instability in economic time series?," Econometrics Journal, Royal Economic Society, vol. 4(1), pages 1-38.
    17. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, pages 1519-1554.
    18. Perron, Pierre & Rodriguez, Gabriel, 2003. "GLS detrending, efficient unit root tests and structural change," Journal of Econometrics, Elsevier, pages 1-27.
    19. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, pages 99-126.
    20. Seo, Byeongseon, 1998. "Tests For Structural Change In Cointegrated Systems," Econometric Theory, Cambridge University Press, vol. 14(02), pages 222-259, April.
    21. Frank J. Atkins & Apostolos Serletis, 2003. "Bounds Tests of the Gibson Paradox and the Fisher Effect: Evidence from Low-Frequency International Data," Manchester School, University of Manchester, vol. 71(6), pages 673-679, December.
    22. Beyer, Andreas & Farmer, Roger E.A., 2007. "Natural rate doubts," Journal of Economic Dynamics and Control, Elsevier, vol. 31(3), pages 797-825, March.
    23. Mark J. Jensen, 2009. "The Long-Run Fisher Effect: Can It Be Tested?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(1), pages 221-231, February.
    24. Haug, Alfred A., 2002. "Testing Linear Restrictions On Cointegrating Vectors: Sizes And Powers Of Wald And Likelihood Ratio Tests In Finite Samples," Econometric Theory, Cambridge University Press, vol. 18(02), pages 505-524, April.
    25. Koustas, Zisimos & Serletis, Apostolos, 1999. "On the Fisher effect," Journal of Monetary Economics, Elsevier, pages 105-130.
    26. Kurozumi, Eiji, 2002. "Testing for stationarity with a break," Journal of Econometrics, Elsevier, vol. 108(1), pages 63-99, May.
    27. Gregory, Allan W. & Nason, James M. & Watt, David G., 1996. "Testing for structural breaks in cointegrated relationships," Journal of Econometrics, Elsevier, vol. 71(1-2), pages 321-341.
    28. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    29. Josep Lluís Carrion-i-Silvestre & Andreu Sansó, 2006. "Testing the Null of Cointegration with Structural Breaks," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, pages 623-646.
    30. MacKinnon, James G, 1996. "Numerical Distribution Functions for Unit Root and Cointegration Tests," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(6), pages 601-618, Nov.-Dec..
    31. Victor Aguirregabiria & Pedro Mira, 2005. "A Genetic Algorithm for the Structural Estimation of Games with Multiple Equilibria," Econometrics 0502017, EconWPA.
    32. Kwiatkowski, Denis & Phillips, Peter C. B. & Schmidt, Peter & Shin, Yongcheol, 1992. "Testing the null hypothesis of stationarity against the alternative of a unit root : How sure are we that economic time series have a unit root?," Journal of Econometrics, Elsevier, vol. 54(1-3), pages 159-178.
    33. Jushan Bai & Robin L. Lumsdaine & James H. Stock, 1998. "Testing For and Dating Common Breaks in Multivariate Time Series," Review of Economic Studies, Oxford University Press, vol. 65(3), pages 395-432.
    34. Andrews, Donald W K, 1991. "Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimation," Econometrica, Econometric Society, vol. 59(3), pages 817-858, May.
    35. Andrews, Donald W K & Monahan, J Christopher, 1992. "An Improved Heteroskedasticity and Autocorrelation Consistent Covariance Matrix Estimator," Econometrica, Econometric Society, vol. 60(4), pages 953-966, July.
    36. Padovano, Fabio & Galli, Emma, 2001. "Tax Rates and Economic Growth in the OECD Countries (1950-1990)," Economic Inquiry, Western Economic Association International, vol. 39(1), pages 44-57, January.
    37. Engsted, Tom, 1995. "Does the Long-Term Interest Rate Predict Future Inflation? A Multi-country Analysis," The Review of Economics and Statistics, MIT Press, vol. 77(1), pages 42-54, February.
    38. Haug, Alfred A., 1996. "Tests for cointegration a Monte Carlo comparison," Journal of Econometrics, Elsevier, pages 89-115.
    39. Fisher, Mark E & Seater, John J, 1993. "Long-Run Neutrality and Superneutrality in an ARIMA Framework," American Economic Review, American Economic Association, pages 402-415.
    40. Crowder, William J & Hoffman, Dennis L, 1996. "The Long-Run Relationship between Nominal Interest Rates and Inflation: The Fisher Equation Revisited," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 28(1), pages 102-118, February.
    41. Weber, Axel A., 1994. "Testing long-run neutrality: empirical evidence for G7-countries with special emphasis on Germany," Carnegie-Rochester Conference Series on Public Policy, Elsevier, pages 67-117.
    42. Perron, Pierre & Qu, Zhongjun, 2007. "A simple modification to improve the finite sample properties of Ng and Perron's unit root tests," Economics Letters, Elsevier, vol. 94(1), pages 12-19, January.
    43. Weber, Axel, 1994. "Testing Long-run Neutrality: Empirical Evidence for G7-Countries with Special Emphasis on Germany," Discussion Paper Serie B 281, University of Bonn, Germany, revised Jun 1994.
    44. Rui Albuquerque & Jianjun Miao, 2013. "CEO Power, Compensation, and Governance," Annals of Economics and Finance, Society for AEF, pages 443-479.
    45. Evans, Martin D D & Lewis, Karen K, 1995. " Do Expected Shifts in Inflation Affect Estimates of the Long-Run Fisher Relation?," Journal of Finance, American Finance Association, vol. 50(1), pages 225-253, March.
    46. Joakim Westerlund, 2008. "Panel cointegration tests of the Fisher effect," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 23(2), pages 193-233.
    47. Haug Alfred A & Siklos Pierre L, 2006. "The Behavior of Short-Term Interest Rates: International Evidence of Non-Linear Adjustment," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 10(4), pages 1-34, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. De Santis, Paola & Drago, Carlo, 2014. "Asimmetria del rischio sistematico dei titoli immobiliari americani: nuove evidenze econometriche
      [Systematic Risk Asymmetry of the American Real Estate Securities: Some New Econometric Evidence]
      ," MPRA Paper 59381, University Library of Munich, Germany.
    2. Jochmann Markus & Koop Gary, 2015. "Regime-switching cointegration," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, pages 35-48.
    3. Mohammed Saiful ISLAM & Mohammad Hasmat ALI, 2012. "Taylor Principle Supplements the Fisher Effect: Empirical Investigation under the US Context," Economia. Seria Management, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 15(1), pages 189-203, June.
    4. Tolga Omay & Mubariz Hasanov & Asli Yuksel & Aydin Yuksel, 2016. "A Note on the Examination of the Fisher Hypothesis by Using Panel Co-Integration Tests with Break," Journal for Economic Forecasting, Institute for Economic Forecasting, pages 13-26.
    5. Erten, Irem & Okay, Nesrin, 2012. "Re-examining Turkey's trade deficit with structural breaks: Evidence from 1989-2011," MPRA Paper 56191, University Library of Munich, Germany.
    6. Koop, Gary & Leon-Gonzalez, Roberto & Strachan, Rodney W., 2011. "Bayesian inference in a time varying cointegration model," Journal of Econometrics, Elsevier, vol. 165(2), pages 210-220.
    7. Aruga, Kentaka & Managi, Shunsuke, 2011. "Testing the international linkage in the platinum-group metal futures markets," Resources Policy, Elsevier, vol. 36(4), pages 339-345.

    More about this item

    Keywords

    Fisher effect; linear and nonlinear cointegration; structural change;

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ecb:ecbwps:20091013. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Official Publications). General contact details of provider: http://edirc.repec.org/data/emieude.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.