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Estimating nonparametric mixed logit models via EM algorithm

  • Daniele Pacifico

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The aim of this paper is to describe a Stata routine for the nonparametric estimation of mixed logit models using a Expectation-Maximisation algorithm. We also compare the performance of our estimator with respect to more typical parametric mixed logit models estimated by means of Simulated Maximum Likelihood.

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File URL: http://www.capp.unimore.it/pubbl/cappapers/Capp_p72.pdf
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Paper provided by Universita di Modena e Reggio Emilia, Dipartimento di Economia "Marco Biagi" in its series Center for the Analysis of Public Policies (CAPP) with number 0072.

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Date of creation: May 2010
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Handle: RePEc:mod:cappmo:0072
Contact details of provider: Web page: http://www.capp.unimore.it
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  1. Joel Huber & Kenneth Train, 2001. "On the Similarity of Classical and Bayesian Estimates of Individual Mean Partworths," Econometrics 0012003, EconWPA.
  2. Marina Murat & Barbara Pistoresi, 2006. "Emigrants and immigrants networks in FDI," Department of Economics 0546, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
  3. Greene, William H. & Hensher, David A., 2003. "A latent class model for discrete choice analysis: contrasts with mixed logit," Transportation Research Part B: Methodological, Elsevier, vol. 37(8), pages 681-698, September.
  4. Emanuele Ciani & Donatella fresu, 2011. "From SHIW to IT-SILC: Construction and Representativeness of the New CAPP_DYN First-Year Population," Department of Economics 0662, University of Modena and Reggio E., Faculty of Economics "Marco Biagi".
  5. Daniel McFadden & Kenneth Train, 2000. "Mixed MNL models for discrete response," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(5), pages 447-470.
  6. Arne Risa Hole, 2007. "Fitting mixed logit models by using maximum simulated likelihood," Stata Journal, StataCorp LP, vol. 7(3), pages 388-401, September.
  7. Giuseppe Marotta, 1997. "Does trade credit redistribution thwart monetary policy? Evidence from Italy," Applied Economics, Taylor & Francis Journals, vol. 29(12), pages 1619-1629.
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