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The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models

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  • Wladimir Raymond
  • Pierre Mohnen
  • Franz Palm
  • Sybrand Schim van der Loeff

Abstract

This paper proposes a method to implement maximum likelihood estimation of the dynamic panel data type 2 and 3 tobit models. The likelihood function involves a two-dimensional indefinite integral evaluated using “two-step” Gauss-Hermite quadrature. A Monte Carlo study shows that the quadrature works well in finite sample for a number of evaluation points as small as two. Incorrectly ignoring the individual effects, or the dependence between the initial conditions and the individual effects results in an overestimation of the coefficients of the lagged dependent variables. An application to incremental and radical product innovations by Dutch business firms illustrates the method.

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File URL: http://www.cesifo-group.de/portal/page/portal/DocBase_Content/WP/WP-CESifo_Working_Papers/wp-cesifo-2007/wp-cesifo-2007-05/cesifo1_wp1992.pdf
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Bibliographic Info

Paper provided by CESifo Group Munich in its series CESifo Working Paper Series with number 1992.

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Date of creation: 2007
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Handle: RePEc:ces:ceswps:_1992

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  4. Kyriazidou, Ekaterini, 2001. "Estimation of Dynamic Panel Data Sample Selection Models," Review of Economic Studies, Wiley Blackwell, vol. 68(3), pages 543-72, July.
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  24. Jan Erik Askildsen & Badi H. Baltagi & Tor Helge Holmås, 2003. "Wage policy in the health care sector: a panel data analysis of nurses' labour supply," Health Economics, John Wiley & Sons, Ltd., vol. 12(9), pages 705-719.
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Cited by:
  1. Peter Egger & Michael Pfaffermayr, 2011. "Structural Estimation of Gravity Models with Path-Dependent Market Entry," FIW Research Reports series III-007, FIW.
  2. Giannetti, Caterina, 2012. "Relationship lending and firm innovativeness," Journal of Empirical Finance, Elsevier, vol. 19(5), pages 762-781.

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