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A multivariate discrete choice method based on inequality restrictions

  • Ahn, Dae-Yong
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    This study applies an estimator based on inequality restrictions to multivariate discrete choice models and identifies the conditions under which the inequality estimator performs well in small samples and for complex problems.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0165176511005982
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    Article provided by Elsevier in its journal Economics Letters.

    Volume (Year): 115 (2012)
    Issue (Month): 3 ()
    Pages: 516-518

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    Handle: RePEc:eee:ecolet:v:115:y:2012:i:3:p:516-518
    Contact details of provider: Web page: http://www.elsevier.com/locate/ecolet

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    1. Daniel McFadden, 1987. "A Method of Simulated Moments for Estimation of Discrete Response Models Without Numerical Integration," Working papers 464, Massachusetts Institute of Technology (MIT), Department of Economics.
    2. Manski, Charles F., 1975. "Maximum score estimation of the stochastic utility model of choice," Journal of Econometrics, Elsevier, vol. 3(3), pages 205-228, August.
    3. Horowitz, Joel L, 1992. "A Smoothed Maximum Score Estimator for the Binary Response Model," Econometrica, Econometric Society, vol. 60(3), pages 505-31, May.
    4. A. Pakes, 2010. "Alternative Models for Moment Inequalities," Econometrica, Econometric Society, vol. 78(6), pages 1783-1822, November.
    5. Puneet Manchanda & Asim Ansari & Sunil Gupta, 1999. "The “Shopping Basket”: A Model for Multicategory Purchase Incidence Decisions," Marketing Science, INFORMS, vol. 18(2), pages 95-114.
    6. Goffe, William L. & Ferrier, Gary D. & Rogers, John, 1994. "Global optimization of statistical functions with simulated annealing," Journal of Econometrics, Elsevier, vol. 60(1-2), pages 65-99.
    7. Hendel, Igal, 1999. "Estimating Multiple-Discrete Choice Models: An Application to Computerization Returns," Review of Economic Studies, Wiley Blackwell, vol. 66(2), pages 423-46, April.
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