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

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

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Bibliographic Details
Author / Creator:Flores, Carlos A., author.
Imprint:Singapore : Springer, [2018]
Description:1 online resource
Language:English
Subject:
Instrumental variables (Statistics)
Latent variables.
Instrumental variables (Statistics)
Latent variables.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11706425
Hidden Bibliographic Details
Other authors / contributors:Chen, Xuan, author.
ISBN:9789811320170
9811320179
9811320160
9789811320163
Digital file characteristics:text file PDF
Notes:Includes bibliographical references and index.
Description based on online resource; title from digital title page (viewed on November 20, 2018).
Summary: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.
Other form:Print version: 9811320160 9789811320163
Standard no.:10.1007/978-981-13-2017-0

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505 0 |a Introduction -- Econometric framework -- Bounds under different identification assumption -- Comparison of bounds across different assumptions -- Assessment of validity of different assumptions -- Estimation and inference -- Empirical applications of bounds -- Conclusion. 
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. 
588 |a Description based on online resource; title from digital title page (viewed on November 20, 2018). 
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