Estimating Dynamic Models from Repeated Cross-Sections
Abstract
A 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.Download Info
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Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 2000-25.Length:
Date of creation: 2000
Date of revision:
Handle: RePEc:dgr:kubcen:200025
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Web page: http://center.uvt.nl
Related research
Keywords:Other versions of this item:
- Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
- Verbeek, M.J.C.M. & Vella, F., 2002. "Estimating dynamic models from repeated cross-sections," Econometric Institute Report EI 2002-05, Erasmus University Rotterdam, Econometric Institute.
- 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; Longitudinal Data; Spatial Time Series
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data
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