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Economic Motivations for Limited Dependent and Qualitative Variable Models

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  • Fry, T R L, et al

Abstract

The greater availability of survey data, a succession of papers dealing with the statistical issues arising from the analysis of such data, and the appearance of software packages such as LIMDEP have led to a remarkable increase in the application of limited dependent and qualitative variable models in economics. Economic analysis of the behavior of individual decisionmakers often leads to models that are of a limited dependent or qualitative variable nature. This paper attempts to show how the use of these models naturally arises from the more general framework of modifications to traditional economic optimization problems. Coauthors are R. D. Brooks, B. R. Comley, and J. Zhang. Copyright 1993 by The Economic Society of Australia.

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Bibliographic Info

Article provided by The Economic Society of Australia in its journal The Economic Record.

Volume (Year): 69 (1993)
Issue (Month): 205 (June)
Pages: 193-205

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Handle: RePEc:bla:ecorec:v:69:y:1993:i:205:p:193-205

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Cited by:
  1. Sarah Brown & Lisa Farrell & Mark N. Harris & John G. Sessions, 2006. "Risk preference and employment contract type," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(4), pages 849-863.
  2. Emawtee Bissoondoyal-Bheenick & Robert Brooks & Angela Y.N.Yip, 2005. "Determinants of Sovereign Ratings: A Comparison of Case-Based Reasoning and Ordered Probit Approaches," Monash Econometrics and Business Statistics Working Papers 9/05, Monash University, Department of Econometrics and Business Statistics.
  3. Fry, Tim R. L. & Harris, Mark N., 1996. "A Monte Carlo study of tests for the independence of irrelevant alternatives property," Transportation Research Part B: Methodological, Elsevier, vol. 30(1), pages 19-30, February.
  4. Tim R.L. Fry & Mark N. Harris, 2002. "The DOGEV Model," Monash Econometrics and Business Statistics Working Papers 7/02, Monash University, Department of Econometrics and Business Statistics.

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