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Modelling and Evaluating Treatment Effects in Econometrics (Hardcover)
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Modelling and Evaluating Treatment Effects in Econometrics (Hardcover)
Series: Advances in Econometrics
Expected to ship within 12 - 17 working days
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The estimation of the effects of treatments ??? endogenous
variables representing everything from individual participation in
a training program to national participation in a World Bank loan
program ??? has occupied much of the theoretical and applied
econometric research literatures in recent years. This volume
brings together a diverse collection of papers on this important
topic by leaders in the field from around the world. Some of the
papers offer new theoretical contributions on various estimation
techniques and others provide timely empirical applications
illustrating the benefits of these and other methods. All of the
papers share two common themes. First, as different estimators
estimate different treatment effect parameters, it is vital to know
what you are estimating and to know to whom the estimate applies.
Second, as different estimators require different identification
assumptions, it is crucial to understand the assumptions underlying
each estimator. In empirical applications, the researcher must also
make the case that the assumptions hold based on the available data
and the institutional context. The theoretical contributions range
over a variety of different estimators drawn from both statistics
and econometrics, including matching and other non-parametric
methods, panel methods, instrumental variables, methods based on
hazard rate models and principal stratification, and they draw upon
both the Bayesian and classical statistical traditions. The
empirical contributions focus mainly on the evaluation of active
labor market programs in Europe and the United States, but also
examine of the effect of parenthood on wages and of the number of
children on child health.
*Contains both theoretical and emperical contributions
*Examples from both Europe and the US
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