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Semiparametric Bayesian Analysis Of Simultaneous Systems With An Application To Japanese Meat Demand

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  • Xi, Jing
  • Heckelei, Thomas
  • Mittelhammer, Ronald C.

Abstract

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).

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File URL: http://purl.umn.edu/22210
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Bibliographic Info

Paper provided by American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association) in its series 2003 Annual meeting, July 27-30, Montreal, Canada with number 22210.

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Date of creation: 2003
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Handle: RePEc:ags:aaea03:22210

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Keywords: Demand and Price Analysis;

References

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  1. Deaton, Angus S & Muellbauer, John, 1980. "An Almost Ideal Demand System," American Economic Review, American Economic Association, vol. 70(3), pages 312-26, June.
  2. Heckelei, Thomas & Mittelhammer, Ronald C., 2002. "Simultaneous Equations Bayesian Bootstrap," 2002 Annual meeting, July 28-31, Long Beach, CA 19873, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  3. Heckelei, Thomas & Mittelhammer, Ron C., 2003. "Bayesian bootstrap multivariate regression," Journal of Econometrics, Elsevier, vol. 112(2), pages 241-264, February.
  4. Hayes, Dermot J. & Wahl, Thomas I. & Williams, Gary W., 1990. "Testing Restrictions on a Model of Japanese Meat Demand," Staff General Research Papers 10940, Iowa State University, Department of Economics.
  5. Chalfant, James A, 1987. "A Globally Flexible, Almost Ideal Demand System," Journal of Business & Economic Statistics, American Statistical Association, vol. 5(2), pages 233-42, April.
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