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Testing Logit Models in Practice

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Author Info
Lechner, Michael

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Abstract

The aim of the paper is to provide the practioner with easily implementable procedures, both numerical and graphical, to test the specification of the dichotomous, linear-in-coefficients logit model. We discuss the performance of these asymptotic methods in small samples on the basis of Monte Carlo simulations and apply them to a cross-section study of female labor supply in West Germany.

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Publisher Info
Article provided by Springer in its journal Empirical Economics.

Volume (Year): 16 (1991)
Issue (Month): 2 ()
Pages: 177-98
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Handle: RePEc:spr:empeco:v:16:y:1991:i:2:p:177-98

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  1. Teresa Aparicio, Inmaculada Villanua, 2001. "The asymptotically efficient version of the information matrix test in binary choice models. A study of size and power," Journal of Applied Statistics, Taylor and Francis Journals, vol. 28(2), pages 167-182, February. [Downloadable!] (restricted)
  2. J. M. C. Santos Silva, 2001. "A score test for non-nested hypotheses with applications to discrete data models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(5), pages 577-597. [Downloadable!]
    Other versions:
  3. Lechner, Michael, . "An Evaluation of Public Sector Sponsored Continuous Vocational Training Programs in East Germany," IVS discussion paper series 539, Institut für Volkswirtschaft und Statistik (IVS), University of Mannheim. [Downloadable!]
    Other versions:
  4. Michael Lechner, 1999. "The Effects of Enterprise-Related Training in East Germany on Individual Employment and Earnings," Annales d'Economie et de Statistique, ADRES, issue 55-56, pages 05, Juillet-D. [Downloadable!]
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