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Testing the Consistency of Nested Logit Models with Utility Maximization

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  • Herriges, Joseph A.
  • Kling, Catherine L.

Abstract

This paper provides simple necessary conditions for testing the local consistency of nested logit models with stochastic utility maximization. A graphical analysis illustrates the extent to which these conditions extend the range of admissible dissimilarity coefficients beyond the unit interval.

Suggested Citation

  • Herriges, Joseph A. & Kling, Catherine L., 1996. "Testing the Consistency of Nested Logit Models with Utility Maximization," Staff General Research Papers Archive 1500, Iowa State University, Department of Economics.
  • Handle: RePEc:isu:genres:1500
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    1. Borsch-Supan, Axel, 1990. "On the compatibility of nested logit models with utility maximization," Journal of Econometrics, Elsevier, vol. 43(3), pages 373-388, March.
    2. Borsch-Supan, Axel & Hajivassiliou, Vassilis A., 1993. "Smooth unbiased multivariate probability simulators for maximum likelihood estimation of limited dependent variable models," Journal of Econometrics, Elsevier, vol. 58(3), pages 347-368, August.
    3. Edward R. Morey & Robert D. Rowe & Michael Watson, 1993. "A Repeated Nested-Logit Model of Atlantic Salmon Fishing," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 75(3), pages 578-592.
    4. Wayne Leonard, J., 1992. "A utility that believes in incentives," The Electricity Journal, Elsevier, vol. 5(10), pages 40-50, December.
    5. Borsch-Supan, Axel, 1986. "Household formation, housing prices, and public policy impacts," Journal of Public Economics, Elsevier, vol. 30(2), pages 145-164, July.
    6. Hensher, David A, 1986. "Sequential and Full Information Maximum Likelihood Estimation of a Nested Logit Model," The Review of Economics and Statistics, MIT Press, vol. 68(4), pages 657-667, November.
    7. Train, Kenneth E & Ben-Akiva, Moshe & Atherton, Terry, 1989. "Consumption Patterns and Self-selecting Tariffs," The Review of Economics and Statistics, MIT Press, vol. 71(1), pages 62-73, February.
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