The Importance of Stock Market Returns in Estimated Monetary Policy Rules: a Structural Approach
AbstractThis paper estimates a standard version of the New Keynesian Monetary (NKM) model augmented with financial variables in order to analyze the relative importance of stock market returns and term spread in the estimated U.S. monetary policy rule. The estimation procedure implemented is a classical structural method based on the indirect inference principle. The empirical results show that the Fed seems to respond to the macroeconomic outlook and to the stock market return but does not seem to respond to the term spread. Moreover, policy inertia and persistent policy shocks are also significant features of the estimated policy rule.
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Bibliographic InfoPaper provided by University of the Basque Country - Department of Foundations of Economic Analysis II in its series DFAEII Working Papers with number 2006-.06.
Date of creation: 2006
Date of revision:
Postal: Dpto. de Fundamentos del Análisis Económico II, = Facultad de CC. Económicas y Empresariales, Universidad del País Vasco, Avda. Lehendakari Aguirre 83, 48015 Bilbao, Spain
Find related papers by JEL classification:
- C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
- E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy
- E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
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- Andrew Ang & Sen Dong, 2005.
"No-Arbitrage Taylor Rules,"
2005 Meeting Papers, Society for Economic Dynamics
22, Society for Economic Dynamics.
- Andrew Ang & Sen Dong & Monika Piazzesi, 2005. "No-arbitrage Taylor rules," Proceedings, Federal Reserve Bank of San Francisco, Federal Reserve Bank of San Francisco.
- Gallant, A. Ronald & Tauchen, George, 1996.
"Which Moments to Match?,"
Econometric Theory, Cambridge University Press,
Cambridge University Press, vol. 12(04), pages 657-681, October.
- Tauchen, George E. & Gallant, A. Ronald, 1995. "Which Moments to Match," Working Papers, Duke University, Department of Economics 95-20, Duke University, Department of Economics.
- Francisco J. Ruge-Murcia, 2004.
"Methods to Estimate Dynamic Stochastic General Equilibrium Models,"
2004 Meeting Papers, Society for Economic Dynamics
83, Society for Economic Dynamics.
- Ruge-Murcia, Francisco J., 2007. "Methods to estimate dynamic stochastic general equilibrium models," Journal of Economic Dynamics and Control, Elsevier, Elsevier, vol. 31(8), pages 2599-2636, August.
- Ruge-Murcia, Francisco J., 2002. "Methods to Estimate Dynamic Stochastic General Equilibrium Models," University of California at San Diego, Economics Working Paper Series, Department of Economics, UC San Diego qt4fc8x822, Department of Economics, UC San Diego.
- RUGE-MURCIA, Francisco J., 2003. "Methods to Estimate Dynamic Stochastic General Equilibrium Models," Cahiers de recherche, Universite de Montreal, Departement de sciences economiques 2003-23, Universite de Montreal, Departement de sciences economiques.
- RUGE-MURCIA, Francisco J., 2003. "Methods to Estimate Dynamic Stochastic General Equilibrium Models," Cahiers de recherche, Centre interuniversitaire de recherche en Ã©conomie quantitative, CIREQ 17-2003, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1995.
"Estimation of Stochastic Volatility Models with Diagnostics,"
Working Papers, Duke University, Department of Economics
95-36, Duke University, Department of Economics.
- Gallant, A. Ronald & Hsieh, David & Tauchen, George, 1997. "Estimation of stochastic volatility models with diagnostics," Journal of Econometrics, Elsevier, Elsevier, vol. 81(1), pages 159-192, November.
- Philip Lowe & Luci Ellis, 1997. "The Smoothing of Official Interest Rates," RBA Annual Conference Volume, Reserve Bank of Australia, in: Philip Lowe (ed.), Monetary Policy and Inflation Targeting Reserve Bank of Australia.
- Lee, Bong-Soo & Ingram, Beth Fisher, 1991. "Simulation estimation of time-series models," Journal of Econometrics, Elsevier, Elsevier, vol. 47(2-3), pages 197-205, February.
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