Skip to main navigation Skip to search Skip to main content

A maximum likelihood estimator based on first differences for a panel data Tobit model with individual specific effects

  • Department of Economics
  • University of Amsterdam

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

This paper proposes a new estimator for a panel data Tobit model in which the unobserved individual specific effects are allowed to correlate with the explanatory variables. A maximum likelihood estimator is based on taking first differences of the equation of interest. This helps to alleviate the sensitivity of the estimates to a specific parameterization of the individual specific effects and some Monte Carlo evidence is provided in support of this.

Original languageEnglish
Pages (from-to)165-172
Number of pages8
JournalEconomics Letters
Volume81
Issue number2
DOIs
Publication statusPublished - 1 Nov 2003
Externally publishedYes

Funding

I would like to thank Mary Gregory, Maria Rochina-Barrachina, Jeff Wooldridge, seminar participants at the 9th International Conference on Panel Data and an anonymous referee for very helpful comments. Financial support from the Leverhulme Trust project “The labour market consequences of technical and structural change” and the Spanish DGES (PB98-0979) are gratefully acknowledged. Appendix A

Keywords

  • Panel data
  • Tobit model

Fingerprint

Dive into the research topics of 'A maximum likelihood estimator based on first differences for a panel data Tobit model with individual specific effects'. Together they form a unique fingerprint.

Cite this