This paper starts from the orthogonalization method proposed by Cox and Reid which is aplied to the Tobit model panel for data with fixed effects. Neyman and Scott showed that, generally, the maximum likelihood estimator is inconsistent (the incidental parameter problem). The methodology explained here recovers the use of the log-likelihood function to solve this problem taking advantage of the time-series dimension of panel data. For the Tobit model we show when is it possible to recover the orthogonal parameters, and study the characteristics of the estimators obtained with simulation methods. Also, an illustration for earnings equations has been performed.
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Volume (Year): 29 (2005) Issue (Month): 3 (September) Pages: 575-607 Download reference. The following formats are available: HTML
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Find related papers by JEL classification: C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Arellano, Manuel & Honore, Bo, 2001.
"Panel data models: some recent developments,"
Handbook of Econometrics,
in: J.J. Heckman & E.E. Leamer (ed.), Handbook of Econometrics, edition 1, volume 5, chapter 53, pages 3229-3296
Elsevier.
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