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A QUAIDS MODEL OF JAPANESE MEAT DEMAND AgEcon
Xi, Jing; Mittelhammer, Ronald C.; Heckelei, Thomas.
This paper makes a contribution to the application of nonlinear simultaneous equations estimation and nonparametric Bootstrapping techniques. The nonlinear demand model estimation work in this paper is in the context of the newly developed Quadratic Almost Ideal Demand System (QUAIDS) model, and provides substantive results in terms of both model estimation technique and empirical economic findings. For the first time, bootstrapping is used in this highly nonlinear modeling environment to estimate variability in demand model parameter estimates and associated demand elasticities. The application relates to Japanese consumer behavior relative to Wagyu Beef, Imported Beef, Pork, Chicken, and Fish demand, and the empirical results are highly relevant to U.S....
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis.
Ano: 2004 URL: http://purl.umn.edu/20120
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SEMIPARAMETRIC BAYESIAN ANALYSIS OF SIMULTANEOUS SYSTEMS WITH AN APPLICATION TO JAPANESE MEAT DEMAND AgEcon
Xi, Jing; Heckelei, Thomas; Mittelhammer, Ronald C..
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).
Tipo: Conference Paper or Presentation Palavras-chave: Demand and Price Analysis.
Ano: 2003 URL: http://purl.umn.edu/22210
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