Estimating dynamic models from repeated cross-sections
AbstractA major attraction of panel data is the ability to estimate dynamic models on an individual level. Moffitt (1993) and Collado (1998) have argued that such models can also be identified from repeated cross-section data. In this paper we reconsider this issue. We review the identification conditions underlying alternative estimators and present an instrumental variables type estimator that is consistent under a relatively weak set of conditions. These conditions, however, are not trivially satisfied in applied work.
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Bibliographic InfoArticle provided by Elsevier in its journal Journal of Econometrics.
Volume (Year): 127 (2005)
Issue (Month): 1 (July)
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Web page: http://www.elsevier.com/locate/jeconom
Other versions of this item:
- Verbeek, M.J.C.M. & Vella, F., 2002. "Estimating dynamic models from repeated cross-sections," Econometric Institute Research Papers EI 2002-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Verbeek, M.J.C.M. & Vella, F., 2000. "Estimating Dynamic Models from Repeated Cross-Sections," Discussion Paper 2000-25, Tilburg University, Center for Economic Research.
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
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