The Conditional Limited Information Maximum Likelihood Approach to Dynamic Panel Structural Equations
AbstractWe propose the conditional limited information maximum likelihood (CLIML) approach for estimating dynamic panel structural equation models. When there are dynamic effects and endogenous variables with individual effects at the same time, the CLIML estimation method for the doubly-filtered data does give not only a consistent estimation, but also it attains the asymptotic efficiency when the number of orthogonal condition is large. Our formulation includes Alvarez and Arellano (2003), Blundell and Bond (2000) and other linear dynamic panel models as special cases.
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Bibliographic InfoPaper provided by CIRJE, Faculty of Economics, University of Tokyo in its series CIRJE F-Series with number CIRJE-F-503.
Length: 33 pages
Date of creation: Jul 2007
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- NEP-ALL-2007-08-08 (All new papers)
- NEP-ECM-2007-08-08 (Econometrics)
- NEP-ETS-2007-08-08 (Econometric Time Series)
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