A Likelihood-Based Evaluation of the Segmented Markets Friction in Equilibrium Monetary Models
This paper estimates and compares the full participation and the segmented markets monetary frameworks. In both models, the real sector and monetary policy determine exogenously the joint process for the aggregate endowment and the short-term nominal interest rate, while the money growth rate and the inflation rate are determined endogenously. Using linearized versions of the models, we use Bayesian methods to compare the two models over the full dimension of the data. This likelihood-based comparison overwhelmingly favors the segmented markets model over the full participation model. The estimate of the fraction of households participating in financial markets is approximately 13\%. The segmented markets model generates more persistent and more realistic impulse response functions to monetary policy shocks. Our results strongly suggest that taking the presence of market segmentation into account is important in understanding the short-run dynamics of the monetary sector.
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|Date of creation:||2005|
|Date of revision:|
|Contact details of provider:|| Postal: Society for Economic Dynamics Marina Azzimonti Department of Economics Stonybrook University 10 Nicolls Road Stonybrook NY 11790 USA|
Web page: http://www.EconomicDynamics.org/
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- Finn E. Kydland & Edward C. Prescott, 1994.
"The computational experiment: an econometric tool,"
178, Federal Reserve Bank of Minneapolis.
- Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
- Christiano, Lawrence J. & Eichenbaum, Martin & Evans, Charles L., 1999.
"Monetary policy shocks: What have we learned and to what end?,"
Handbook of Macroeconomics,
in: J. B. Taylor & M. Woodford (ed.), Handbook of Macroeconomics, edition 1, volume 1, chapter 2, pages 65-148
- Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 1997. "Monetary policy shocks: what have we learned and to what end?," Working Paper Series, Macroeconomic Issues WP-97-18, Federal Reserve Bank of Chicago.
- Lawrence J. Christiano & Martin Eichenbaum & Charles L. Evans, 1998. "Monetary Policy Shocks: What Have We Learned and to What End?," NBER Working Papers 6400, National Bureau of Economic Research, Inc.
- Christopher A. Sims, 1996. "Macroeconomics and Methodology," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 105-120, Winter.
- Filippo Occhino, 2004. "Modeling the Response of Money and Interest Rates to Monetary Policy Shocks: A Segmented Markets Approach," Review of Economic Dynamics, Elsevier for the Society for Economic Dynamics, vol. 7(1), pages 181-197, January.
- Gary Hansen, 2010.
"Indivisible Labor and the Business Cycle,"
Levine's Working Paper Archive
233, David K. Levine.
- Eric M. Leeper & Christopher A. Sims & Tao Zha, 1996. "What Does Monetary Policy Do?," Brookings Papers on Economic Activity, Economic Studies Program, The Brookings Institution, vol. 27(2), pages 1-78.
- Amartya Lahiri & Rajesh Singh & Carlos A. Vegh, 2007.
"Segmented Asset Markets and Optimal Exchange Rate Regimes,"
NBER Working Papers
13154, National Bureau of Economic Research, Inc.
- Lahiri, Amartya & Singh, Rajesh & Vegh, Carlos, 2007. "Segmented asset markets and optimal exchange rate regimes," Journal of International Economics, Elsevier, vol. 72(1), pages 1-21, May.
- Singh, Rajesh & Lahiri, Amartya & Vegh, Carlos A, 2007. "Segmented Asset Markets and Optimal Exchange Rate Regimes," Staff General Research Papers 11446, Iowa State University, Department of Economics.
- John Geweke, 1999. "Computational Experiments and Reality," Computing in Economics and Finance 1999 401, Society for Computational Economics.
- Fuerst, Timothy S., 1992. "Liquidity, loanable funds, and real activity," Journal of Monetary Economics, Elsevier, vol. 29(1), pages 3-24, February.
- Lars Peter Hansen & James J. Heckman, 1996. "The Empirical Foundations of Calibration," Journal of Economic Perspectives, American Economic Association, vol. 10(1), pages 87-104, Winter.
- Fernandez-Villaverde, Jesus & Francisco Rubio-Ramirez, Juan, 2004. "Comparing dynamic equilibrium models to data: a Bayesian approach," Journal of Econometrics, Elsevier, vol. 123(1), pages 153-187, November.
- Robert J. Hodrick & Edward Prescott, 1981.
"Post-War U.S. Business Cycles: An Empirical Investigation,"
451, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
- Smets, Frank & Wouters, Raf, 2002. "An estimated stochastic dynamic general equilibrium model of the euro area," Working Paper Series 0171, European Central Bank.
- Lucas, Robert Jr., 1990. "Liquidity and interest rates," Journal of Economic Theory, Elsevier, vol. 50(2), pages 237-264, April.
- Ben S. Bernanke & Ilian Mihov, 1998. "Measuring Monetary Policy," The Quarterly Journal of Economics, Oxford University Press, vol. 113(3), pages 869-902.
- Kydland, Finn E & Prescott, Edward C, 1982.
"Time to Build and Aggregate Fluctuations,"
Econometric Society, vol. 50(6), pages 1345-70, November.
- Finn E. Kydland & Edward C. Prescott, 1982. "Executable program for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4, Quantitative Macroeconomics & Real Business Cycles.
- Finn E. Kydland & Edward C. Prescott, 1982. "Web interface for "Time to Build and Aggregate Fluctuations"," QM&RBC Codes 4a, Quantitative Macroeconomics & Real Business Cycles.
- DeJong, David N & Ingram, Beth Fisher & Whiteman, Charles H, 1996. "A Bayesian Approach to Calibration," Journal of Business & Economic Statistics, American Statistical Association, vol. 14(1), pages 1-9, January.
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