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T1  - Data-Driven Identification Constraints for DSGE Models 
SN  -  /  
UR  - http://hdl.handle.net/10138/233473 
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A1  - Lanne, Markku; Luoto, Jani Pentti 
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PB  -  
Y1  - 2018 
LA  - eng 
AB  - We propose imposing data-driven identification constraints to alleviate the multimodality problem arising in the estimation of poorly identified dynamic stochastic general equilibrium models under non-informative prior distributions. We also devise an iterative procedure based on the posterior density of the parameters for finding these constraints. An empirical application to the Smets and Wouters () model demonstrates the properties of the estimation method, and shows how the problem of multim... 
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KW  - 511 Economics; MONTE-CARLO METHODS; SCORING RULES; PREDICTION; SIMULATION; INFERENCE; POSTERIOR 
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