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Non-stationary Hours in a DSGE Model

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Author Info
Chang, Yongsung
Doh, Taeyoung
Schorfheide, Frank

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Abstract

The time series fit of dynamic stochastic general equilibrium (DSGE) models often suffers from restrictions on the long-run dynamics that are at odds with the data. Relaxing these restrictions can close the gap between DSGE models and vector autoregressions. This paper modifies a simple stochastic growth model by incorporating permanent labor supply shocks that can generate a unit root in hours worked. Using Bayesian methods we estimate two versions of the DSGE model: the standard specification in which hours worked are stationary and the modified version with permanent labor supply shocks. We find that the data support the latter specification.

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Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number 5232.

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Date of creation: Sep 2005
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Handle: RePEc:cpr:ceprdp:5232

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Related research
Keywords: Bayesian econometrics; DSGE models; non-stationary hours;

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Find related papers by JEL classification:
C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions
E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy
F41 - International Economics - - Macroeconomic Aspects of International Trade and Finance - - - Open Economy Macroeconomics

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  6. Susanto Basu & John Fernald & Miles Kimball, 2004. "Are technology improvements contractionary?," Working Paper Series WP-04-20, Federal Reserve Bank of Chicago. [Downloadable!]
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  7. Thomas Lubik & Frank Schorfheide, 2005. "A Bayesian Look at New Open Economy Macroeconomics," Economics Working Paper Archive 521, The Johns Hopkins University,Department of Economics. [Downloadable!]
  8. Miles S. Kimball & Matthew D. Shapiro, 2008. "Labor Supply: Are the Income and Substitution Effects Both Large or Both Small?," NBER Working Papers 14208, National Bureau of Economic Research, Inc. [Downloadable!] (restricted)
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  13. Lawrence J. Christiano & Martin Eichenbaum & Charles Evans, 2001. "Nominal rigidities and the dynamic effects of a shock to monetary policy," Working Paper 0107, Federal Reserve Bank of Cleveland. [Downloadable!]
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  14. V. V. Chari & Patrick J. Kehoe & Ellen R. McGrattan, 2005. "A critique of structural VARs using real business cycle theory," Working Papers 631, Federal Reserve Bank of Minneapolis. [Downloadable!]
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  16. Jordi Gali, 1999. "Technology, Employment, and the Business Cycle: Do Technology Shocks Explain Aggregate Fluctuations?," American Economic Review, American Economic Association, vol. 89(1), pages 249-271, March. [Downloadable!] (restricted)
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  17. Frank Schorfheide, 2000. "Loss function-based evaluation of DSGE models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(6), pages 645-670. [Downloadable!]
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(explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)

  1. Marco Lombardi & Silvia Sgherri, 2007. "(Un)naturally Low? Sequential Monte Carlo Tracking of the US Natural Interest Rate," DNB Working Papers 142, Netherlands Central Bank, Research Department. [Downloadable!]
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  2. Federico S. Mandelman & Francesco Zanetti, 2008. "Technology shocks, employment, and labor market frictions," Working Paper 2008-10, Federal Reserve Bank of Atlanta. [Downloadable!]
  3. Fuentes-Albero, Cristina, 2007. "Technology Shocks, Statistical Models, and The Great Moderation," MPRA Paper 3589, University Library of Munich, Germany. [Downloadable!]
  4. Peter N. Ireland & Scott Schuh, 2006. "Productivity and U.S. macroeconomic performance: interpreting the past and predicting the future with a two-sector real business cycle model," Working Papers 06-10, Federal Reserve Bank of Boston. [Downloadable!]
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  5. Taeyoung Doh, 2007. "What does the yield curve tell us about the Federal Reserve's implicit inflation target?," Research Working Paper RWP 07-10, Federal Reserve Bank of Kansas City. [Downloadable!]
  6. Taeyoung Doh, 2009. "Yield curve in an estimated nonlinear macro model," Research Working Paper RWP 09-04, Federal Reserve Bank of Kansas City. [Downloadable!]
  7. Leonardo Melosi, 2009. "A Likelihood Analysis of Models with Information Frictions," PIER Working Paper Archive 09-009, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania. [Downloadable!]
  8. Holly, S. & Petrella, I., 2008. "Factor demand linkages and the business cycle: Interpreting aggregate fluctuations as sectoral fluctuations," Cambridge Working Papers in Economics 0827, Faculty of Economics, University of Cambridge. [Downloadable!]
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  9. Fève, P. & Matheron, J. & Sahuc, J-G., 2009. "Disinflation and unemployment in the euro area : A SVAR-based analysis," Documents de Travail 247, Banque de France. [Downloadable!]
  10. Peter N. Ireland, 2007. "On the Welfare Cost of Inflation and the Recent Behavior of Money Demand," Boston College Working Papers in Economics 662, Boston College Department of Economics. [Downloadable!]
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