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Conventional monetary policy and the degree of interest rate pass through in the long run: a non-normal approach

Listed author(s):
  • Dong-Yop Oh

    ()

    (Department of Information Systems, University of Texas Rio Grande Valley)

  • Hyejin Lee

    ()

    (Department of Information Systems, University of Texas Rio Grande Valley)

  • Karl David Boulware

    ()

    (Department of Economics, Wesleyan University)

We investigate the long-run pass through of the federal funds rate to the prime rate from February 1987 to February 2015. Unlike previous studies that rely on conventional cointegration tests, this study employs cointegration tests based on the “residual augmented least squares” (RALS). The RALS cointegration tests have been shown to gain power when using a linear model in the presence of non-normal errors. The results indicate a significant cointegrating relation between the federal funds rate and the prime rate with incomplete interest rate pass through.

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File URL: http://repec.wesleyan.edu/pdf/kboulware/2016002_boulware.pdf
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Paper provided by Wesleyan University, Department of Economics in its series Wesleyan Economics Working Papers with number 2016-002.

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Length: 19 pages
Date of creation: Sep 2016
Handle: RePEc:wes:weswpa:2016-002
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  1. Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
  2. Im, Kyung So & Schmidt, Peter, 2008. "More efficient estimation under non-normality when higher moments do not depend on the regressors, using residual augmented least squares," Journal of Econometrics, Elsevier, vol. 144(1), pages 219-233, May.
  3. Enders, Walter & Siklos, Pierre L, 2001. "Cointegration and Threshold Adjustment," Journal of Business & Economic Statistics, American Statistical Association, vol. 19(2), pages 166-176, April.
  4. H. Sonmez Atesoglu, 2003. "Monetary transmission--federal funds rate and prime rate," Journal of Post Keynesian Economics, M.E. Sharpe, Inc., vol. 26(2), pages 357-362, December.
  5. Bernanke, Ben S & Blinder, Alan S, 1992. "The Federal Funds Rate and the Channels of Monetary Transmission," American Economic Review, American Economic Association, vol. 82(4), pages 901-921, September.
  6. Jing Li & Junsoo Lee, 2010. "ADL tests for threshold cointegration," Journal of Time Series Analysis, Wiley Blackwell, vol. 31(4), pages 241-254, 07.
  7. Meng, Ming & Payne, James E. & Lee, Junsoo, 2013. "Convergence in per capita energy use among OECD countries," Energy Economics, Elsevier, vol. 36(C), pages 536-545.
  8. Xavier Freixas & Jean-Charles Rochet, 1997. "Microeconomics of Banking," MIT Press Books, The MIT Press, edition 1, volume 1, number 0262061937, July.
  9. Lee Hyejin & Lee Junsoo & Im Kyungso, 2015. "More powerful cointegration tests with non-normal errors," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 19(4), pages 397-413, September.
  10. James Payne, 2007. "Interest rate pass through and asymmetries in adjustable rate mortgages," Applied Financial Economics, Taylor & Francis Journals, vol. 17(17), pages 1369-1376.
  11. James Payne & George Waters, 2008. "Interest rate pass through and asymmetric adjustment: evidence from the federal funds rate operating target period," Applied Economics, Taylor & Francis Journals, vol. 40(11), pages 1355-1362.
  12. Hansen, Bruce E., 1995. "Rethinking the Univariate Approach to Unit Root Testing: Using Covariates to Increase Power," Econometric Theory, Cambridge University Press, vol. 11(05), pages 1148-1171, October.
  13. Zivot, Eric, 2000. "The Power Of Single Equation Tests For Cointegration When The Cointegrating Vector Is Prespecified," Econometric Theory, Cambridge University Press, vol. 16(03), pages 407-439, June.
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