The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models
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 infinite 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. Cette étude propose une façon d’utiliser l’estimateur du maximum de vraisemblance pour des données panel et des modèles dynamiques de type tobit 2 ou tobit 3. La fonction de vraisemblance inclut une intégrale double qui est évaluée en utilisant une quadrature Gauss-Hermite à deux étapes. Une étude de Monte Carlo montre que la quadrature donne de bons résultats dans un échantillon fini même avec uniquement deux points d’évaluation. Si on ignore les effets individuels ou la dépendance entre ceux-ci et les conditions initiales, on obtient une estimation biaisée vers le haut des coefficients des variables endogènes retardées. Une application à l’étude des innovations de produit radicales et incrémentales avec des données panel d’entreprises néerlandaises illustre la méthode proposée.Download Info
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Paper provided by CIRANO in its series CIRANO Working Papers with number 2007s-06.Length:
Date of creation: 01 Mar 2007
Date of revision:
Handle: RePEc:cir:cirwor:2007s-06
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Keywords: panel data; maximum likelihood estimator; dynamic models; sample selection; données panel; maximum de vraisemblance; modéles dynamiques avec sélection;Other versions of this item:
- Mohnen, Pierre & Raymond, Wladimir & Palm, Franz & Schim van der Loeff, Sybrand, 2007. "The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models," UNU-MERIT Working Paper Series 007, United Nations University, Maastricht Economic and social Research and training centre on Innovation and Technology.
- Wladimir Raymond & Pierre Mohnen & Franz Palm & Sybrand Schim van der Loeff, 2007. "The Behavior of the Maximum Likelihood Estimator of Dynamic Panel Data Sample Selection Models," CESifo Working Paper Series 1992, CESifo Group Munich.
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C34 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Truncated and Censored Models; Switching Regression Models
- O31 - Economic Development, Technological Change, and Growth - - Technological Change; Research and Development; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
This paper has been announced in the following NEP Reports:
- NEP-ALL-2007-03-17 (All new papers)
- NEP-ECM-2007-03-17 (Econometrics)
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Peter Egger & Michael Pfaffermayr, 2011.
"Structural Estimation of Gravity Models with Path-Dependent Market Entry,"
FIW Research Reports series
III-007, FIW.
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"Relationship Lending and Firm Innovativeness,"
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