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Bayesian estimation of a dynamic stochastic general equilibrium model with asset prices

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  • Martin Kliem
  • Harald Uhlig

Abstract

This paper presents a novel Bayesian method for estimating dynamic stochastic general equilibrium (DSGE) models subject to a constrained posterior distribution for the implied Sharpe ratio. We apply our methodology to a DSGE model with habit formation in consumption and leisure, and show that the constrained estimation produces both reasonable asset‐pricing and business‐cycle implications. Next, we estimate the Smets–Wouters model subject to the same Sharpe ratio constraint. The results move the model closer to reproducing observed risk premia, but at increasing cost to its macroeconomic performance.

Suggested Citation

  • Martin Kliem & Harald Uhlig, 2016. "Bayesian estimation of a dynamic stochastic general equilibrium model with asset prices," Quantitative Economics, Econometric Society, vol. 7(1), pages 257-287, March.
    • Handle: RePEc:wly:quante:v:7:y:2016:i:1:p:257-287
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    Cited by:

    1. Martin Kliem & Alexander Meyer‐Gohde, 2022. "(Un)expected monetary policy shocks and term premia," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 37(3), pages 477-499, April.
    2. Pintor, Gabor, 2016. "The macroeconomic shock with the highest price of risk," LSE Research Online Documents on Economics 86225, London School of Economics and Political Science, LSE Library.
    3. Gabor Pinter, 2016. "The Macroeconomic Shock with the Highest Price of Risk," Discussion Papers 1623, Centre for Macroeconomics (CFM), revised Apr 2017.
    4. Alessandri, Piergiorgio & Gazzani, Andrea & Vicondoa, Alejandro, 2023. "Are the effects of uncertainty shocks big or small?," European Economic Review, Elsevier, vol. 158(C).
    5. Binh Thai Pham & Hector Sala, 2022. "The implications of public expenditures on a small economy in transition: a Bayesian DSGE approach," Economic Change and Restructuring, Springer, vol. 55(1), pages 401-431, February.
    6. Oliver de Groot & Ceyhun Bora Durdu & Enrique G. Mendoza, 2019. "Approximately Right?: Global v. Local Methods for Open-Economy Models with Incomplete Markets," NBER Working Papers 26426, National Bureau of Economic Research, Inc.
    7. Oliver de Groot & C. Bora Durdu & Enrique G. Mendoza, 2019. "Global v. Local Methods in the Analysis of Open-Economy Models with Incomplete Markets," Working Papers 201916, University of Liverpool, Department of Economics.

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