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

dc.creatorXi, Jing
dc.creatorHeckelei, Thomas
dc.creatorMittelhammer, Ronald C.
dc.date2017-04-01T15:16:16Z
dc.date.accessioned2026-07-09T03:38:46Z
dc.descriptionThis 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).
dc.identifierdoi:10.22004/ag.econ.22210
dc.identifierhttps://ageconsearch.umn.edu/record/22210/files/sp03xi01.pdf
dc.identifierhttp://ageconsearch.umn.edu/record/22210
dc.identifier.urihttp://hdl.handle.net/123456789/537339
dc.languageeng
dc.publisher
dc.sourcehttp://ageconsearch.umn.edu/record/22210
dc.titleSEMIPARAMETRIC BAYESIAN ANALYSIS OF SIMULTANEOUS SYSTEMS WITH AN APPLICATION TO JAPANESE MEAT DEMAND
dc.typeText

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