Dealing with Endogeneity in Regression Models with Dynamic Coefficients presents a unified econometric framework for dealing with the issues of endogeneity in Markov-switching models and time-varying parameter models. While others have considered estimation of simultaneous equations models with stochastic coefficients as a system, this book focuses on the LIML (limited information maximum likelihood) estimation of a single equation of interest out of a simultaneous equations model.
The control function approach, which is an econometric method used to correct for biases that arise as a consequence of selection or endogeneity, will be the main tool in dealing with the problem of endogeneity throughout the book. While the approach has been extensively applied to the sample selection models and disequilibrium models in the micro-econometrics literature, its application in the time-series econometrics literature is relatively new. The basic idea behind the control function is to model the dependence of the disturbance term on the endogenous variables in a way that allows us to construct a function such that, conditional on the function, the endogeneity problem in the regression equation of interest disappears.
The book is organized as follows:
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
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Etat : Very Good. Unused, some outer edges have minor scuffs, cover has light scratches, some outer pages have marks from shelf wear, content unread as new. N° de réf. du vendeur 071700-15
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Vendeur : Hay-on-Wye Booksellers, Hay-on-Wye, HEREF, Royaume-Uni
Etat : Very Good. Unused, some outer edges have minor scuffs, cover has light scratches, some outer pages have marks from shelf wear, content unread as new. N° de réf. du vendeur 072312-8
Quantité disponible : 1 disponible(s)