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Average Treatment Effect Bounds with an Instrumental Variable: Theory and Practice
Buch von Xuan Chen (u. a.)
Sprache: Englisch

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Beschreibung
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.
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.
Über den Autor

Carlos A. Flores is Professor of Economics at the Orfalea College of Business, California Polytechnic State University at San Luis Obispo. He received his Ph.D. in Economics and M.A. in Statistics from the University of California at Berkeley. His main fields of interest are econometrics and labor economics. Prof. Flores' research focuses on the development and application of new econometric methods for program evaluation and causal inference to assess the effects of policies, programs, and interventions.

Xuan Chen is Assistant Professor at the School of Labor and Human Resources, Renmin University of China. She received her Ph.D. in Economics from the University of Miami. Dr. Chen's main research areas are program evaluation and labor economics. Her current research focuses on the development of partial identification approaches in the instrumental variable framework. She is also interested in the econometric evaluation of public policies regarding the Chinese labor market.

Zusammenfassung

Provides a comprehensive survey of recently developed approaches for partial identification of average treatment effects in program evaluation

Compares the identification power of different sets of assumptions employed by various partial identification approaches in program evaluation

Discusses implementation of the bounds in practice, including interpretation and assessment of the assumptions, as well as estimation and inference

Illustrates the use of bounds on treatment effects with instrumental variables in program evaluation by surveying recent applications

Bridges the gap between the theory of the econometric derivation of bounds on treatment effects with instrumental variables in the program evaluation literature and their empirical application

Inhaltsverzeichnis
Chapter 1. Introduction.- Chapter 2. Econometric Framework.- Chapter 3. Bounds under Di¿erent Identi¿cation Assumptions.- Chapter 4. Comparison of Bounds across Di¿erent Assumptions etc.
Details
Erscheinungsjahr: 2018
Fachbereich: Volkswirtschaft
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Inhalt: vii
104 S.
ISBN-13: 9789811320163
ISBN-10: 9811320160
Sprache: Englisch
Herstellernummer: 978-981-13-2016-3
Einband: Gebunden
Autor: Chen, Xuan
Flores, Carlos A.
Auflage: 1st edition 2018
Hersteller: Springer Singapore
Springer Nature Singapore
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 12 mm
Von/Mit: Xuan Chen (u. a.)
Erscheinungsdatum: 20.10.2018
Gewicht: 0,342 kg
Artikel-ID: 114094591
Über den Autor

Carlos A. Flores is Professor of Economics at the Orfalea College of Business, California Polytechnic State University at San Luis Obispo. He received his Ph.D. in Economics and M.A. in Statistics from the University of California at Berkeley. His main fields of interest are econometrics and labor economics. Prof. Flores' research focuses on the development and application of new econometric methods for program evaluation and causal inference to assess the effects of policies, programs, and interventions.

Xuan Chen is Assistant Professor at the School of Labor and Human Resources, Renmin University of China. She received her Ph.D. in Economics from the University of Miami. Dr. Chen's main research areas are program evaluation and labor economics. Her current research focuses on the development of partial identification approaches in the instrumental variable framework. She is also interested in the econometric evaluation of public policies regarding the Chinese labor market.

Zusammenfassung

Provides a comprehensive survey of recently developed approaches for partial identification of average treatment effects in program evaluation

Compares the identification power of different sets of assumptions employed by various partial identification approaches in program evaluation

Discusses implementation of the bounds in practice, including interpretation and assessment of the assumptions, as well as estimation and inference

Illustrates the use of bounds on treatment effects with instrumental variables in program evaluation by surveying recent applications

Bridges the gap between the theory of the econometric derivation of bounds on treatment effects with instrumental variables in the program evaluation literature and their empirical application

Inhaltsverzeichnis
Chapter 1. Introduction.- Chapter 2. Econometric Framework.- Chapter 3. Bounds under Di¿erent Identi¿cation Assumptions.- Chapter 4. Comparison of Bounds across Di¿erent Assumptions etc.
Details
Erscheinungsjahr: 2018
Fachbereich: Volkswirtschaft
Genre: Importe, Wirtschaft
Rubrik: Recht & Wirtschaft
Medium: Buch
Inhalt: vii
104 S.
ISBN-13: 9789811320163
ISBN-10: 9811320160
Sprache: Englisch
Herstellernummer: 978-981-13-2016-3
Einband: Gebunden
Autor: Chen, Xuan
Flores, Carlos A.
Auflage: 1st edition 2018
Hersteller: Springer Singapore
Springer Nature Singapore
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 241 x 160 x 12 mm
Von/Mit: Xuan Chen (u. a.)
Erscheinungsdatum: 20.10.2018
Gewicht: 0,342 kg
Artikel-ID: 114094591
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