東華大學圖書館 |

Modelling and evaluating treatment effects in econometrics

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Modelling and evaluating treatment effects in econometrics/ edited by Tom Fomby ... [et al.].{me_controlnum}
其他作者:	Fomby, Tom.
出版者:	Bingley, U.K. :Emerald, : 2008.,
面頁冊數:	1 online resource (xvi, 428 p.).
附註:	Includes index.
內容註:	Selection bias in evaluating treatment effects : some formal illustrations / Arthur S. Goldberger -- Evaluating the effects of job trainingprograms on wages through principal stratification / Junni L. Zhang, Donald B. Rubin, Fabrizia Mealli -- Graphical diagnostics of endogeneity/ Xavier de Luna, Per Johansson -- Fertility and the health of children : a nonparametric investigation / Daniel J. Henderson, Daniel L. Millimet, Christopher F. Parmeter, Le Wang -- Program participation, labor force dynamics, and accepted wage rates / Jakob Roland Munch, Lars Skipper -- When is ATE enough? Risk aversion and inequality aversion in evaluating training programs / Rajeev Dehejia -- Matching estimation of dynamic treatment models : some practical issues / Michael Lechner -- Theevent-history approach to program evaluation / Jaap H. Abbring -- Panel data models and transitory fluctuations in the explanatory variable /Terra McKinnish -- An empirical assessment of the effects of parenthood on wages / Marianne Simonsen, Lars Skipper -- The employment effects of job-creation schemes in Germany : a microeconometric evaluation / Marco Caliendo, Reinhard Hujer, Stephan L. Thomsen -- Bayesian analysis of treatment effects in an ordered potential outcomes model / Mingliang Li, Justin L. Tobias -- Instrumental variables estimation of the average treatment effect in the correlated random coefficient model / JeffreyM. Wooldridge.
標題:	Business & Economics - Economics -
電子資源:	http://www.emeraldinsight.com/0731-9053/21
ISBN:	9781849505239 (electronic bk.)

Modelling and evaluating treatment effects in econometrics
Modelling and evaluating treatment effects in econometrics[electronic resource] /edited by Tom Fomby ... [et al.].{me_controlnum} - Bingley, U.K. :Emerald,2008. - 1 online resource (xvi, 428 p.). - Advances in econometrics,v. 210731-9053 ;. - Advances in econometrics ;v. 12..

Includes index.

Selection bias in evaluating treatment effects : some formal illustrations / Arthur S. Goldberger -- Evaluating the effects of job trainingprograms on wages through principal stratification / Junni L. Zhang, Donald B. Rubin, Fabrizia Mealli -- Graphical diagnostics of endogeneity/ Xavier de Luna, Per Johansson -- Fertility and the health of children : a nonparametric investigation / Daniel J. Henderson, Daniel L. Millimet, Christopher F. Parmeter, Le Wang -- Program participation, labor force dynamics, and accepted wage rates / Jakob Roland Munch, Lars Skipper -- When is ATE enough? Risk aversion and inequality aversion in evaluating training programs / Rajeev Dehejia -- Matching estimation of dynamic treatment models : some practical issues / Michael Lechner -- Theevent-history approach to program evaluation / Jaap H. Abbring -- Panel data models and transitory fluctuations in the explanatory variable /Terra McKinnish -- An empirical assessment of the effects of parenthood on wages / Marianne Simonsen, Lars Skipper -- The employment effects of job-creation schemes in Germany : a microeconometric evaluation / Marco Caliendo, Reinhard Hujer, Stephan L. Thomsen -- Bayesian analysis of treatment effects in an ordered potential outcomes model / Mingliang Li, Justin L. Tobias -- Instrumental variables estimation of the average treatment effect in the correlated random coefficient model / JeffreyM. Wooldridge.

The estimation of the effects of treatments endogenous variables representing everything fromindividual 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 differenttreatment 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 empiricalcontributions 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.Itcontains both theoretical and emperical contributions. It includes examples from both Europe and the US.

ISBN: 9781849505239 (electronic bk.)Subjects--Topical Terms:

1556316
Business & Economics
--Economics

LC Class. No.: HB139 / .M63 2008

Dewey Class. No.: 330.015195

Universal Decimal Class. No.: 330.43

Modelling and evaluating treatment effects in econometrics
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520 $a The estimation of the effects of treatments endogenous variables representing everything fromindividual 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 differenttreatment 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 empiricalcontributions 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.Itcontains both theoretical and emperical contributions. It includes examples from both Europe and the US.
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