SEMIPARAMETRIC BAYESIAN ANALYSIS OF SIMULTANEOUS SYSTEMS WITH AN APPLICATION TO JAPANESE MEAT DEMAND

This paper motivates and applies a variant of the Bayesian Bootstrap Multivariate Regression by Heckelei and Mittelhammer (2003) to a Japanese meat demand specification with endogenous regressors. The methodology is first given an alternative and more elegants motivation and then extended to incorporate microtheoretic restrictions and to apply in the context of a simultaneous equation models. The results of the application are compared to results based on an earlier approach used by Heckelei, Mittelhammer, and Wahl (1996).


Issue Date:
2003
Publication Type:
Conference Paper/ Presentation
PURL Identifier:
http://purl.umn.edu/22210
Total Pages:
22
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2017-08-24

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