Alternative Simulation-Based Estimators of Logit Models with Random Effects
AbstractLogit models with random effects are now widely used in applied Statistics and Econometrics. They usually lead to intractable likelihood functions, as they involve integrals without closed form solution. Numerical integration can be used to compute the likelihood and software is available (Hedeker and Gibbons, 1996). Difficulties can be encountered when the number of random effect parameters is not very small. With a detailed Monte Carlo experimentation, we show in this paper that the simulation-based estimators are almost as efficient as maximum likelihood. They are Simulated Maximum Likelihood (Gouri´eroux and Monfort, 1991), Indirect Inference (Gouri´eroux, Monfort and Renault, 1993) using an auxiliary approximated likelihood estimator, and Indirect Inference using an auxiliary linear probability model. The advantage of the latter is its great simplicity and computational speed.
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Bibliographic InfoPaper provided by Universita' degli Studi di Firenze, Dipartimento di Statistica, Informatica, Applicazioni "G. Parenti" in its series Econometrics Working Papers Archive with number quaderno48.
Date of creation: 2001
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- Giorgio Calzolari & Gabriele Fiorentini & Enrique Sentana, 2004.
"Constrained Indirect Estimation,"
Review of Economic Studies,
Wiley Blackwell, vol. 71(4), pages 945-973, October.
- Calzolari, Giorgio & Di Iorio, Francesca & Fiorentini, Gabriele, 1996.
"Control variates for variance reduction in indirect inference: interest rate models in continuous time,"
23160, University Library of Munich, Germany, revised Nov 1996.
- Giorgio Calzolari & Francesca Di Iorio & Gabriele Fiorentini, 1998. "Control variates for variance reduction in indirect inference: Interest rate models in continuous time," Econometrics Journal, Royal Economic Society, vol. 1(Conferenc), pages C100-C112.
- Gabriele Fiorentini & Francesca Di Iorio & Giorgio Calzolari, 1998. "- Control Variates For Variance Reduction In Indirect Inference: Interest Rate Models In Continuous Time," Working Papers. Serie AD 1998-09, Instituto Valenciano de Investigaciones Económicas, S.A. (Ivie).
- Mealli, Fabrizia & Pudney, Stephen, 1996. "Occupational Pensions and Job Mobility in Britain: Estimation of a Random-Effects Competing Risks Model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 11(3), pages 293-320, May-June.
- Bianchi, Carlo & Calzolari, Giorgio & Corsi, Paolo, 1978. "A Program for Stochastic Simulation of Econometric Models," Econometrica, Econometric Society, vol. 46(1), pages 235-36, January.
- Gourieroux, C. & Monfort, A. & Renault, E., 1992.
92.279, Toulouse - GREMAQ.
- Stephen Pudney & Michael Shields, .
"Gender, Race, Pay and Promotion in the British Nursing Profession: Estimation of a Generalised Ordered Probit Model,"
Discussion Papers in Public Sector Economics
97/4, Department of Economics, University of Leicester.
- Stephen Pudney & Michael Shields, 2000. "Gender, race, pay and promotion in the British nursing profession: estimation of a generalized ordered probit model," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 15(4), pages 367-399.
- Stephen Pudney & Michael Shields, . "Gender, Race, Pay and Promotion in the British Nursing Profession Estimation of a Generalised Ordered ProbitModel," Discussion Papers in Economics 97/4, Department of Economics, University of Leicester.
- Longford, N. T., 1994. "Logistic regression with random coefficients," Computational Statistics & Data Analysis, Elsevier, vol. 17(1), pages 1-15, January.
- Mealli, Fabrizia & Rampichini, Carla, 1999. "Estimating binary multilevel models through indirect inference," Computational Statistics & Data Analysis, Elsevier, vol. 29(3), pages 313-324, January.
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