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Average treatment effect bounds with an instrumental variable = theory and practice /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Average treatment effect bounds with an instrumental variable/ by Carlos A. Flores, Xuan Chen.
其他題名:	theory and practice /
作者:	Flores, Carlos A.
其他作者:	Chen, Xuan.
出版者:	Singapore :Springer Singapore : : 2018.,
面頁冊數:	vii, 104 p. :ill., digital ; : 24 cm.;
Contained By:	Springer eBooks
標題:	Instrumental variables (Statistics) -
電子資源:	https://doi.org/10.1007/978-981-13-2017-0
ISBN:	9789811320170

Average treatment effect bounds with an instrumental variable = theory and practice /
Flores, Carlos A.

Average treatment effect bounds with an instrumental variabletheory and practice /[electronic resource] :by Carlos A. Flores, Xuan Chen. - Singapore :Springer Singapore :2018. - vii, 104 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Econometric Framework -- Chapter 3. Bounds under Diﬀerent Identiﬁcation Assumptions -- Chapter 4. Comparison of Bounds across Diﬀerent Assumptions etc.

This book reviews recent approaches for partial identification of average treatment effects with instrumental variables in the program evaluation literature, including Manski's bounds, bounds based on threshold crossing models, and bounds based on the Local Average Treatment Effect (LATE) framework. It compares these bounds across different sets of assumptions, surveys relevant methods to assess the validity of these assumptions, and discusses estimation and inference methods for the bounds. The book also reviews some empirical applications employing bounds in the program evaluation literature. It aims to bridge the gap between the econometric theory on which the different bounds are based and their empirical application to program evaluation.

ISBN: 9789811320170

Standard No.: 10.1007/978-981-13-2017-0doiSubjects--Topical Terms:

673036
Instrumental variables (Statistics)

LC Class. No.: HB141 / .F567 2018

Dewey Class. No.: 330.015195

Average treatment effect bounds with an instrumental variable = theory and practice /
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520 $a This book reviews recent approaches for partial identification of average treatment effects with instrumental variables in the program evaluation literature, including Manski's bounds, bounds based on threshold crossing models, and bounds based on the Local Average Treatment Effect (LATE) framework. It compares these bounds across different sets of assumptions, surveys relevant methods to assess the validity of these assumptions, and discusses estimation and inference methods for the bounds. The book also reviews some empirical applications employing bounds in the program evaluation literature. It aims to bridge the gap between the econometric theory on which the different bounds are based and their empirical application to program evaluation.
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