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Analysis of Qualitative Variables

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  • G.S. Maddala
  • Forrest D. Nelson
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    Abstract

    A variety of qualitative dependent variable models are surveyed with attention focused on the computational aspects of their analysis. The models covered include single equation dichotomous models; single equation polychotomous models with unordered, ordered, and sequential variables; and simultaneous equation models. Care is taken to illucidate the nature of the suggested "full information" and "limited information" approaches to the simultaneous equation models and the formulation of recursive and causal chain models.

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    File URL: http://www.nber.org/papers/w0070.pdf
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    Bibliographic Info

    Paper provided by National Bureau of Economic Research, Inc in its series NBER Working Papers with number 0070.

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    Date of creation: Oct 1974
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    Handle: RePEc:nbr:nberwo:0070

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    1. Schmidt, Peter & Strauss, Robert P, 1975. "The Prediction of Occupation Using Multiple Logit Models," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 16(2), pages 471-86, June.
    2. John G. Cragg & Russell S. Uhler, 1970. "The Demand for Automobiles," Canadian Journal of Economics, Canadian Economics Association, vol. 3(3), pages 386-406, August.
    3. Theil, Henri, 1969. "A Multinomial Extension of the Linear Logit Model," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 10(3), pages 251-59, October.
    4. Schmidt, Peter & Strauss, Robert P, 1975. "Estimation of Models with Jointly Dependent Qualitative Variables: A Simultaneous Logit Approach," Econometrica, Econometric Society, vol. 43(4), pages 745-55, July.
    5. Boskin, Michael J, 1974. "A Conditional Logit Model of Occupational Choice," Journal of Political Economy, University of Chicago Press, vol. 82(2), pages 389-98, Part I, M.
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