Estimation methods in panel data models with observed and unobserved components: a Monte Carlo study
Recently some new techniques have been proposed for the estimation of the slope coefficients in presence of unobserved components. Though, the presence of common observed and unobserved factors is neither considered or the estimation of their impacts is not taken into account. In this work a range of estimators is surveyed and their finite-sample properties are examined by means of Monte Carlo experiments. We consider both the properties of estimators for the individual specific components and for the observed common effects.
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| Date of creation: | Dec 2008 |
| Handle: | RePEc:pra:mprapa:26196 |
| Contact details of provider: | Postal: Ludwigstraße 33, D-80539 Munich, Germany Phone: +49-(0)89-2180-2459 Fax: +49-(0)89-2180-992459 Web page: https://mpra.ub.uni-muenchen.de More information through EDIRC
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