Bayesian model averaging in consumer demand systems with inequality constraints

Canadian Journal of Agricultural Economics

Volumn 49, Issue 3, 2001, Pages 269-291

  Chua, C L ^a   Griffiths, W E ^b   O'Donnell, C J ^c  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c UNIVERSITY OF NEW ENGLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0035737579     PISSN: 00083976     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1744-7976.2001.tb00306.x     Document Type: Article

References (17)

1. Alston, J. M., J. A. Chalfant and N. E. Piggott. 1998. A globally flexible model of the effects of generic advertising of beef and pork on U.S. meat demand. Selected paper, AAEA meetings 1998, Salt Lake City, Utah.
2. Chalfant, J. A, R. S. Gray and K. J. White. 1991. Evaluating prior beliefs in a demand system: The case of meat demand in Canada. American Journal of Agricultural Economics 73: 466-89.
3. Danilov, D. L. and J. R. Magnus. 2001. On the harm that pretesting does. CentER Discussion Paper 2001-37. Tilberg University.
4. Deaton, A. and J. Muellbauer. 1980. An almost ideal demand system. American Economic Review 70: 312-26.
5. Gelfand, A. E. and D. K. Dey. 1994. Bayesian model choice: Asymptotics and exact calculations. Journal of the Royal Statistical Society Series B 56: 501-14.
6. Geweke, J. 1999. Using simulation methods for Bayesian econometric models: Inference, development, and communciation. Econometric Reviews 18: 1-73.
7. Gordon, S. 1996. Using mixtures of flexible functional forms to estimate factor demand elasticities. Canadian Journal of Economics 29: 717-36.
8. Griffiths, W. E. and D. Chotikapanich. 1997. Bayesian methodology for imposing inequality constraints on a linear expenditure function with demographic factors. Australian Economic Papers 36: 321-41.
9. Jorgenson, D. W., L. J. Lau and T. M. Stoker. 1982. The transcendental logarithmic model of aggregate consumer behaviour. In Advances in Econometrics, edited by R. L. Basmann and G. Rhodes, vol. 1, pp. 197-238. Greenwich: JAI Press.
10. Judge, G. G. and M. E. Bock. 1978. The Statistical Implications of Pre-Test and Stein-Rule Estimators in Econometrics. Amsterdam: North-Holland.
11. Judge, G. G., W. E. Griffiths, R. C. Hill, H. Lütkepohl and T.-C. Lee. 1985. The Theory and Practice of Econometrics. 2nd ed. New York: John Wiley and Sons.
12. Kleibergen, F. 1997. Equality restricted random variables: Densities and sampling algorithms. Erasmus University Econometric Institute Report 9662. Rotterdam.
13. Moschini, G. 1999. Imposing local curvature conditions in flexible demand systems. Journal of Business and Economic Statistics 17: 487-90.
14. Piggott, N. E. 1997. The Benefits and Costs of Generic Advertising of Agricultural Commodities. PhD thesis. Davis CA: University of California.
15. Pollak, R. A. and T. J. Wales. 1992. Demand System Specification and Estimation. Oxford: Oxford University Press.
16. Ryan, D. L. and T. J. Wales. 1998. A simple method for imposing local curvature in some flexible consumer-demand systems. Journal of Business and Economic Statistics 16: 331-38.
17. Zellner, A. 1971. An Introduction to Bayesian Inference in Econometrics. New York: John Wiley and Sons.