Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/150409 
Year of Publication: 
2016
Citation: 
[Journal:] Quantitative Economics [ISSN:] 1759-7331 [Volume:] 7 [Issue:] 1 [Publisher:] The Econometric Society [Place:] New Haven, CT [Year:] 2016 [Pages:] 257-287
Publisher: 
The Econometric Society, New Haven, CT
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.
Subjects: 
Bayesian estimation
stochastic steady state
prior choice
Sharpe ratio
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by-nc Logo
Document Type: 
Article

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