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Non‐stationary Hours in a DSGE Model

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  • YONGSUNG CHANG
  • TAEYOUNG DOH
  • FRANK SCHORFHEIDE

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. Using Bayesian methods we estimate a stochastic growth model in which hours worked are stationary and a modified version with permanent labor supply shocks. If firms can freely adjust labor inputs, the data support the latter specification. Once we introduce frictions in terms of labor adjustment costs, the overall time series fit improves and the model specification in which labor supply shocks and hours worked are stationary is preferred.

Suggested Citation

  • Yongsung Chang & Taeyoung Doh & Frank Schorfheide, 2007. "Non‐stationary Hours in a DSGE Model," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(6), pages 1357-1373, September.
  • Handle: RePEc:wly:jmoncb:v:39:y:2007:i:6:p:1357-1373
    DOI: 10.1111/j.1538-4616.2007.00070.x
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    More about this item

    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; State Space Models
    • 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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