SIMULTANEOUS EQUATIONS BAYESIAN BOOTSTRAP

This paper introduces a semi-parametric bootstrapping approach to Bayesian analysis of structural parameters in simultaneous equation systems that extends the single and multivariate regression approaches of Heckelei and Mittelhammer (1996, 2002) to models with endogenous regressors. Monte Carlo evidence demonstrated the considerable accuracy of the procedure in approximating posterior distributions, even for small sample sizes.


Issue Date:
2002
Publication Type:
Conference Paper/ Presentation
Record Identifier:
http://ageconsearch.umn.edu/record/19873
PURL Identifier:
http://purl.umn.edu/19873
Total Pages:
28
Series Statement:
Selected Paper




 Record created 2017-04-01, last modified 2018-01-22

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