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Federal Funds Rate Stationarity: New Evidence

Author

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  • Frédérique BEC
  • Charbel BASSIL

    (Université de Cergy-Pontoise, THEMA, F-95000 Cergy-Pontoise,
    CREST-INSEE, F92245 Malakoff Cedex)

Abstract

This paper investigates the stationarity of the Federal Funds Rate. It contributes to the existing empirical literature in two ways. First, it explores both the presence of unit root and structural changes in the federal funds rate monthly data, by allowing for interaction between these two assumptions as suggested by the recent work of Lee and Strazicich. The second contribution consists in testing formally for the number of breaks. Using monthly data from January 1960 to April 2008, we find strong evidence in favor of a stationary process with two breaks. The two breaks identified correspond respectively to the first oil shock and to the change in the Fed operating procedure in the early eighties.

Suggested Citation

  • Frédérique BEC & Charbel BASSIL, 2008. "Federal Funds Rate Stationarity: New Evidence," THEMA Working Papers 2008-35, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    • Handle: RePEc:ema:worpap:2008-35
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    References listed on IDEAS

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    1. Junsoo Lee & Mark C. Strazicich, 2013. "Minimum LM unit root test with one structural break," Economics Bulletin, AccessEcon, vol. 33(4), pages 2483-2492.
    2. Lee, Jim, 2002. "Federal funds rate target changes and interest rate volatility," Journal of Economics and Business, Elsevier, vol. 54(2), pages 159-191.
    3. Zivot, Eric & Andrews, Donald W K, 2002. "Further Evidence on the Great Crash, the Oil-Price Shock, and the Unit-Root Hypothesis," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 25-44, January.
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    5. Nunes, Luis C & Newbold, Paul & Kuan, Chung-Ming, 1997. "Testing for Unit Roots with Breaks: Evidence on the Great Crash and the Unit Root Hypothesis Reconsidered," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 59(4), pages 435-448, November.
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    7. Markku Lanne, 1999. "Near Unit Roots And The Predictive Power Of Yield Spreads For Changes In Long-Term Interest Rates," The Review of Economics and Statistics, MIT Press, vol. 81(3), pages 393-398, August.
    8. Stock, James H. & Watson, Mark W., 1999. "Business cycle fluctuations in us macroeconomic time series," Handbook of Macroeconomics, in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 1, pages 3-64, Elsevier.
    9. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    10. George Kapetanios, 2005. "Unit‐root testing against the alternative hypothesis of up to m structural breaks," Journal of Time Series Analysis, Wiley Blackwell, vol. 26(1), pages 123-133, January.
    11. 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.
    12. Banerjee, Anindya & Lumsdaine, Robin L & Stock, James H, 1992. "Recursive and Sequential Tests of the Unit-Root and Trend-Break Hypotheses: Theory and International Evidence," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(3), pages 271-287, July.
    13. Campbell, John Y, 1987. "Money Announcements, the Demand for Bank Reserves, and the Behavior of the Federal Funds Rate within the Statement Week," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 19(1), pages 56-67, February.
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    Cited by:

    1. Aggarwal, Sakshi, 2016. "Determinants of money demand for India in presence of structural break: An empirical analysis," Business and Economic Horizons (BEH), Prague Development Center (PRADEC), vol. 12(4).
    2. Chakraborty, Debashis & Mukherjee, Jaydeep & Lee, Jaewook, 2016. "Do FDI Inflows influence Merchandise Exports? Causality Analysis on India over 1991-2016," MPRA Paper 74851, University Library of Munich, Germany.
    3. Ranajoy Bhattacharyya & Jaydeep Mukherjee, 2014. "Do Exchange Rates Affect Exports in India?," South Asian Journal of Macroeconomics and Public Finance, , vol. 3(2), pages 175-193, December.
    4. Chakraborty Debashis & Mukherjee Jaydeep & Lee Jaewook, 2017. "FDI Inflows Influence Merchandise Exports? Causality Analysis for India over 1991-2016 : Causality Analysis for India Over 1991–2016," Global Economy Journal, De Gruyter, vol. 17(3), pages 1-10, September.
    5. Sakshi Aggarwal, 2016. "Determinants of money demand for India in presence of structural break: An empirical analysis," Business and Economic Horizons (BEH), Prague Development Center, vol. 12(4), pages 173-177, December.
    6. Nag, Biswajit & Mukherjee, Jaydeep, 2012. "The sustainability of trade deficits in the presence of endogenous structural breaks: Evidence from the Indian economy," Journal of Asian Economics, Elsevier, vol. 23(5), pages 519-526.
    7. EL BOUHADI, Hamid & OUAHID, Driss, 2014. "Datation des changements structurels au sein d’une chronique : le cas des séries macroéconomiques marocaines [Dating structural changes in time series : the case of the Moroccan macroeconomic serie," MPRA Paper 68168, University Library of Munich, Germany.
    8. Jaydeep Mukherjee & Debashis Chakraborty & Tanaya Sinha, 2013. "How has FDI influenced Current Account Balance In India? Time Series Results in presence of Endogenous Structural Breaks," Working Papers 1317, Indian Institute of Foreign Trade.

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    More about this item

    Keywords

    Federal Funds Rate; Unit root test; Structural change; Endogenous break dates.;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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