A Theory of Random Consumer Demand
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- Varian, Hal R., 1990. "Goodness-of-fit in optimizing models," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 125-140.
- Barbera, Salvador & Pattanaik, Prasanta K, 1986. "Falmagne and the Rationalizability of Stochastic Choices in Terms of Random Orderings," Econometrica, Econometric Society, vol. 54(3), pages 707-715, May.
- Sattath, Shmuel & Tversky, Amos, 1976. "Unite and Conquer: A Multiplicative Inequality for Choice Probabilities," Econometrica, Econometric Society, vol. 44(1), pages 79-89, January.
- Amemiya, Takeshi, 1981. "Qualitative Response Models: A Survey," Journal of Economic Literature, American Economic Association, vol. 19(4), pages 1483-1536, December.
- McFadden, Daniel, 1974. "The measurement of urban travel demand," Journal of Public Economics, Elsevier, vol. 3(4), pages 303-328, November.
- Deaton,Angus & Muellbauer,John, 1980. "Economics and Consumer Behavior," Cambridge Books, Cambridge University Press, number 9780521296762, April.
- Gerard Debreu, 1957. "Stochastic Choice and Cardinal Utility," Cowles Foundation Discussion Papers 39, Cowles Foundation for Research in Economics, Yale University.
- Bandyopadhyay, Taradas & Dasgupta, Indraneel & Pattanaik, Prasanta K., 1999. "Stochastic Revealed Preference and the Theory of Demand," Journal of Economic Theory, Elsevier, vol. 84(1), pages 95-110, January.
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- Daniel McFadden, 2005. "Revealed stochastic preference: a synthesis," Economic Theory, Springer;Society for the Advancement of Economic Theory (SAET), vol. 26(2), pages 245-264, August.
- McCausland, William J., 2008. "On Bayesian analysis and computation for functions with monotonicity and curvature restrictions," Journal of Econometrics, Elsevier, vol. 142(1), pages 484-507, January.
- McCAUSLAND, William J., 2004.
"Bayesian Analysis for a Theory of Random Consumer Demand: The Case of Indivisible Goods,"
Cahiers de recherche
10-2004, Centre interuniversitaire de recherche en économie quantitative, CIREQ.
- McCAUSLAND, William, 2004. "Bayesian Analysis for a Theory of Random Consumer Demand: The Case of Indivisible Goods," Cahiers de recherche 2004-05, Universite de Montreal, Departement de sciences economiques.
- WILLIAM J. McCAUSLAND, 2009. "Random Consumer Demand," Economica, London School of Economics and Political Science, vol. 76(301), pages 89-107, February.
More about this item
- D11 - Microeconomics - - Household Behavior - - - Consumer Economics: Theory
NEP fieldsThis paper has been announced in the following NEP Reports:
- NEP-ALL-2004-08-23 (All new papers)
- NEP-DCM-2004-08-23 (Discrete Choice Models)
- NEP-MIC-2004-08-23 (Microeconomics)
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