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Estimation of the multinomial logit model with random effects

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  • Nikolaj Malchow-Møller
  • Michael Svarer

Abstract

In the present paper, it is shown how to perform estimation of the random effects multinomial logit model in the SAS program. Inference in the random effects multinomial logit model is complicated because it requires evaluation of multi-dimensional integrals. Presumably for this reason, no statistical software packages allow for direct estimation of the model. It is shown how modifications of the likelihood function enable the applied researcher to make inference using SAS. While the procedure works well for small samples/models, estimation time might become considerable for larger samples/models. A possible explanation for this is provided.

Suggested Citation

  • Nikolaj Malchow-Møller & Michael Svarer, 2003. "Estimation of the multinomial logit model with random effects," Applied Economics Letters, Taylor & Francis Journals, vol. 10(7), pages 389-392.
  • Handle: RePEc:taf:apeclt:v:10:y:2003:i:7:p:389-392
    DOI: 10.1080/1350485032000082018
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    References listed on IDEAS

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    Cited by:

    1. Kwon, Illoong & Meyersson Milgrom, Eva M., 2014. "The significance of firm and occupation specific human capital for hiring and promotions," Labour Economics, Elsevier, vol. 31(C), pages 162-173.
    2. Zucchelli, E. & Harris, M. & Zhao, X., 2012. "Ill-health and transitions to part-time work and self-employment among older workers," Health, Econometrics and Data Group (HEDG) Working Papers 12/04, HEDG, c/o Department of Economics, University of York.
    3. Vincent Delbecque, 2007. "Impact de la fiscalité sur les IDE : Application à un panel d’entreprises françaises," EconomiX Working Papers 2007-1, University of Paris Nanterre, EconomiX.
    4. Harris, M.N. & Zhao, X. & Zucchelli, E., 2016. "The dynamics of health and labour market transitions at older ages: evidence from a multi-state model," Health, Econometrics and Data Group (HEDG) Working Papers 16/30, HEDG, c/o Department of Economics, University of York.

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