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What you match does matter: the effects of data on DSGE estimation

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  • Pablo A. Guerron-Quintana

    (Department of Economics, North Carolina State University, Raleigh, NC, USA)

Abstract

This paper explores the effects of using alternative combinations of observables for the estimation of Dynamic Stochastic General Equilibrium (DSGE) models. I find that the estimation of structural parameters describing the Taylor rule and sticky contracts in prices and wages is particularly sensitive to the set of observables. In terms of the model's predictions, the exclusion of some observables may lead to estimated parameters with unexpected outcomes, such as recessions following a positive technology shock. More importantly, two ways to assess different sets of observables are proposed. These measures favor a dataset consisting of seven observables. Copyright © 2009 John Wiley & Sons, Ltd.

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Bibliographic Info

Article provided by John Wiley & Sons, Ltd. in its journal Journal of Applied Econometrics.

Volume (Year): 25 (2010)
Issue (Month): 5 ()
Pages: 774-804

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Handle: RePEc:jae:japmet:v:25:y:2010:i:5:p:774-804

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References

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  1. Jean Boivin & Marc Giannoni, 2006. "DSGE Models in a Data-Rich Environment," NBER Working Papers 12772, National Bureau of Economic Research, Inc.
  2. Sungbae An & Frank Schorfheide, 2007. "Bayesian Analysis of DSGE Models," Econometric Reviews, Taylor & Francis Journals, vol. 26(2-4), pages 113-172.
  3. David E. Altig & Lawrence J. Christiano & Martin Eichenbaum & Jesper Linde, 2004. "Firm-specific capital, nominal rigidities, and the business cycle," Working Paper 0416, Federal Reserve Bank of Cleveland.
  4. Canova, Fabio & Sala, Luca, 2006. "Back to square one: identification issues in DSGE models," Working Paper Series 0583, European Central Bank.
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  7. Jes�s Fern�ndez-Villaverde & Juan F. Rubio-Ram�rez, 2007. "Estimating Macroeconomic Models: A Likelihood Approach," Review of Economic Studies, Oxford University Press, vol. 74(4), pages 1059-1087.
  8. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670.
  9. Erceg, Christopher J. & Henderson, Dale W. & Levin, Andrew T., 2000. "Optimal monetary policy with staggered wage and price contracts," Journal of Monetary Economics, Elsevier, vol. 46(2), pages 281-313, October.
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Citations

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Cited by:
  1. Martin Fukaè & Vladimír Havlena, 2011. "A Note on the Role of the Natural Condition of Control in the Estimation of DSGE Models," Czech Journal of Economics and Finance (Finance a uver), Charles University Prague, Faculty of Social Sciences, vol. 61(5), pages 453-466, November.
  2. Takashi Kano & James M. Nason, 2009. "Business cycle implications of internal consumption habit for New Keynesian models," Working Paper 2009-16, Federal Reserve Bank of Atlanta.
  3. Hall, Jamie & Pitt, Michael K. & Kohn, Robert, 2014. "Bayesian inference for nonlinear structural time series models," Journal of Econometrics, Elsevier, vol. 179(2), pages 99-111.
  4. Ríos-Rull, José-Víctor & Schorfheide, Frank & Fuentes-Albero, Cristina & Kryshko, Maxym & Santaeulàlia-Llopis, Raül, 2012. "Methods versus substance: Measuring the effects of technology shocks," Journal of Monetary Economics, Elsevier, vol. 59(8), pages 826-846.
  5. Nikolay Iskrev, 2010. "Evaluating the strength of identification in DSGE models. An a priori approach," 2010 Meeting Papers 1117, Society for Economic Dynamics.
  6. Martin Fukac & Vladimir Havlena, 2011. "Note on the role of natural condition of control in the estimation of DSGE models," Research Working Paper RWP 11-03, Federal Reserve Bank of Kansas City.
  7. Martinez-Garcia, Enrique & Wynne, Mark A., 2014. "Assessing Bayesian Model Comparison in Small Samples," Globalization and Monetary Policy Institute Working Paper 189, Federal Reserve Bank of Dallas.
  8. Michael Creel & Dennis Kristensen, 2011. "Indirect likelihood inference," Working Papers 558, Barcelona Graduate School of Economics.
  9. Luca Sala, 2013. "DSGE models in the frequency domain," Working Papers 504, IGIER (Innocenzo Gasparini Institute for Economic Research), Bocconi University.
  10. Matus Senaj & Milan Vyskrabka & Juraj Zeman, 2010. "MUSE: Monetary Union and Slovak Economy model," Working and Discussion Papers WP 1/2010, Research Department, National Bank of Slovakia.
  11. Kim, Kwang Hwan & Katayama, Munechika, 2013. "Non-separability and sectoral comovement in a sticky price model," Journal of Economic Dynamics and Control, Elsevier, vol. 37(9), pages 1715-1735.

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