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Average Treatment Effect Bounds with an Instrumental Variable: Theory and Practice

Carlos A. Flores; Xuan Chen

978-981-13-2017-0

2018
Edition 1
- 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
€180

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