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Modelling Federal Reserve Discount Policy

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  • Baum, Christopher F
  • Karasulu, Meral

Abstract

We employ threshold cointegration methodology to model the policy problem solved by the Federal Reserve System in their manipulation of the discount rate under a reserves target operating procedure utilized since October 1979. The infrequent and discrete adjustments that characterize movements in the discount rate instrument vis-a-vis the Federal Funds rate do not lend themselves to a linear cointegration framework. The inherently nonlinear relationship arising from the Fed's self-imposed constraints on discontinuously changing the discount rate is satisfactorily modeled as an instance of threshold cointegration between the discount rate and the Federal Funds rate. Citation Copyright 1998 by Kluwer Academic Publishers.

Suggested Citation

  • Baum, Christopher F & Karasulu, Meral, 1998. "Modelling Federal Reserve Discount Policy," Computational Economics, Springer;Society for Computational Economics, vol. 11(1-2), pages 53-70, April.
    • Handle: RePEc:kap:compec:v:11:y:1998:i:1-2:p:53-70
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    Cited by:

    1. Kleimeier, Stefanie & Sander, Harald, 2006. "Expected versus unexpected monetary policy impulses and interest rate pass-through in euro-zone retail banking markets," Journal of Banking & Finance, Elsevier, vol. 30(7), pages 1839-1870, July.
    2. Melike Bildirici & Elçin Aykaç Alp, 2012. "Minimum wage is efficient wage in Turkish labor market: TAR–cointegration analysis," Quality & Quantity: International Journal of Methodology, Springer, vol. 46(4), pages 1261-1270, June.
    3. Kleimeier, S. & Sander, H., 2002. "European financial market integration: evidence on the emergence of a single Eurozone retail banking market," Research Memorandum 060, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    4. Christopher F. Baum & Meral Karasulu, 1997. "Credible Disinflation Policy in a Dynamic Setting," Boston College Working Papers in Economics 375, Boston College Department of Economics.
    5. Mustapha Baghli, 2004. "Modelling the FF/MM rate by threshold cointegration analysis," Applied Economics, Taylor & Francis Journals, vol. 36(6), pages 533-548.
    6. Lin, Xiaoqiang & Tang, Zhenpeng & Fei, Fangyu, 2013. "Testing for relationships between Shanghai and Shenzhen stock markets: A threshold cointegration perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 392(18), pages 4064-4074.
    7. Mendonca, Gui Pedro, 2008. "Structural Breaks, Regime Change and Asymmetric Adjustment: A Short and Long Run Global Approach to the Output/Unemployment Dynamics," MPRA Paper 14648, University Library of Munich, Germany.
    8. Sander, H. & Kleimeier, S., 2004. "Expected versus unexpected monetary policy impulses and interest rate pass-through in eurozone retail banking," Research Memorandum 001, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    9. Christopher F. Baum & Meral Karasulu, 1997. "Monetary Policy in the Transition to a Zero Federal Deficit," Boston College Working Papers in Economics 363, Boston College Department of Economics.
    10. Kuan-Min Wang, 2010. "Expected and Unexpected Impulses of Monetary Policy on the Interest Pass-Through Mechanism in Asian Countries," Annals of Economics and Finance, Society for AEF, vol. 11(1), pages 95-137, May.
    11. Maki Daiki, 2010. "Detection of Stationarity in Nonlinear Processes: A Comparison between Structural Breaks and Three-Regime TAR Models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 14(4), pages 1-43, September.
    12. Kim, Bong-Han & Chun, Sun-Eae & Min, Hong-Ghi, 2010. "Nonlinear dynamics in arbitrage of the S&P 500 index and futures: A threshold error-correction model," Economic Modelling, Elsevier, vol. 27(2), pages 566-573, March.
    13. Aslanidis, Nektarios & Kouretas, Georgios P., 2005. "Testing for two-regime threshold cointegration in the parallel and official markets for foreign currency in Greece," Economic Modelling, Elsevier, vol. 22(4), pages 665-682, July.
    14. Francq, Christian & ZakoI¨an, Jean-Michel, 2008. "Deriving the autocovariances of powers of Markov-switching GARCH models, with applications to statistical inference," Computational Statistics & Data Analysis, Elsevier, vol. 52(6), pages 3027-3046, February.
    15. McKenzie, Andrew M. & Pede, Valerien O., 2005. "Integration In Benin Maize Market: An Application Of Threshold Cointegration Analysis," 2005 Annual meeting, July 24-27, Providence, RI 19293, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Hansen, Bruce E. & Seo, Byeongseon, 2002. "Testing for two-regime threshold cointegration in vector error-correction models," Journal of Econometrics, Elsevier, vol. 110(2), pages 293-318, October.
    17. Hens, Thorsten & Jean-Jacques Herings, P. & Predtetchinskii, Arkadi, 2006. "Limits to arbitrage when market participation is restricted," Journal of Mathematical Economics, Elsevier, vol. 42(4-5), pages 556-564, August.

    More about this item

    JEL classification:

    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • 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

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