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

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  • Kalwij, Adriaan S.

Abstract

This paper proposes an alternative estimation procedure for a panel data Tobit model with individual specific effects 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. To allow for arbitrary serial correlation estimation takes place in two steps: Maximum Likelihood is applied to each pair of consecutive periods and then a Minimum Distance estimator is employed.
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  • Kalwij, Adriaan S., 2003. "A maximum likelihood estimator based on first differences for a panel data Tobit model with individual specific effects," Economics Letters, Elsevier, vol. 81(2), pages 165-172, November.
  • Handle: RePEc:eee:ecolet:v:81:y:2003:i:2:p:165-172
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    1. James J. Heckman, 1976. "The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models," NBER Chapters, in: Annals of Economic and Social Measurement, Volume 5, number 4, pages 475-492, National Bureau of Economic Research, Inc.
    2. Chamberlain, Gary, 1984. "Panel data," Handbook of Econometrics, in: Z. Griliches† & M. D. Intriligator (ed.), Handbook of Econometrics, edition 1, volume 2, chapter 22, pages 1247-1318, Elsevier.
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    4. Wooldridge, Jeffrey M., 1995. "Selection corrections for panel data models under conditional mean independence assumptions," Journal of Econometrics, Elsevier, vol. 68(1), pages 115-132, July.
    5. Ekaterini Kyriazidou, 1997. "Estimation of a Panel Data Sample Selection Model," Econometrica, Econometric Society, vol. 65(6), pages 1335-1364, November.
    6. Charlier, Erwin & Melenberg, Bertrand & van Soest, Arthur, 2000. "Estimation of a censored regression panel data model using conditional moment restrictions efficiently," Journal of Econometrics, Elsevier, vol. 95(1), pages 25-56, March.
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    Cited by:

    1. Pierre Koning & Daniel van Vuuren, 2006. "Hidden unemployment in disability insurance in the Netherlands; an empirical analysis based on employer data," CPB Discussion Paper 69, CPB Netherlands Bureau for Economic Policy Analysis.
    2. Mary Gregory & Adriaan S. Kalwij & Department of Economics & University of Oxford., 2000. "Overtime Hours in Great Britain Over the Period 1975-1999: A Panel Data Analysis," Economics Series Working Papers 27, University of Oxford, Department of Economics.
    3. Adriaan Kalwij, 2015. "Two tests for strict exogeneity in a correlated random effects panel data Tobit model," Statistica Neerlandica, Netherlands Society for Statistics and Operations Research, vol. 69(2), pages 115-125, May.
    4. Boryana Madzharova, 2012. "Intertemporal Income Shifting in Expectation of Lower Corporate Tax Rates: The Tax Reforms in Central and Eastern Europe," CERGE-EI Working Papers wp462, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    5. Kalwij, A.S., 2004. "A Two-Step First Difference Estimator for a Panel Data Tobit Model under Conditional Mean Independence Assumptions," Discussion Paper 2004-67, Tilburg University, Center for Economic Research.
    6. Shadrack Muthami Mwatu, 2022. "Institutions and export performance: firm level evidence from Kenya," International Review of Economics, Springer;Happiness Economics and Interpersonal Relations (HEIRS), vol. 69(4), pages 487-506, December.
    7. Bjornsen, Hild-Marte & Mishra, Ashok K., 2012. "Off-farm Employment and Farming Efficiency in Modern Agriculture: A Dynamic Panel Analysis," 2012 Annual Meeting, August 12-14, 2012, Seattle, Washington 124742, Agricultural and Applied Economics Association.
    8. repec:aia:aiaswp:wp21 is not listed on IDEAS

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    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models

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