A number of generalizations of the expected utility preference functional are estimated using experimentally generated data involving 100 pairwise choice questions repeated on two separate occasions. Likelihood ratio tests are conducted to investigate the statistical superiority of the various generalizations, and the Akaike information criterion is used to distinguish between them. The economic superiority of the various generalizations is also explored and the paper concludes that, for many subjects, the superiority of several of the generalizations is not established.
MLA
Orme, Chris, and John D. Hey. “Investigating Generalizations of Expected Utility Theory Using Experimental Data.” Econometrica, vol. 62, .no 6, Econometric Society, 1994, pp. 1291-1326, https://www.jstor.org/stable/2951750
Chicago
Orme, Chris, and John D. Hey. “Investigating Generalizations of Expected Utility Theory Using Experimental Data.” Econometrica, 62, .no 6, (Econometric Society: 1994), 1291-1326. https://www.jstor.org/stable/2951750
APA
Orme, C., & Hey, J. D. (1994). Investigating Generalizations of Expected Utility Theory Using Experimental Data. Econometrica, 62(6), 1291-1326. https://www.jstor.org/stable/2951750
We are deeply saddened by the passing of Kate Ho, the John L. Weinberg Professor of Economics and Business Policy at Princeton University and a Fellow of the Econometric Society. Kate was a brilliant IO economist and scholar whose impact on the profession will resonate for many years to come.
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