Detecting Grouped Local Average Treatment Effects and Selecting True Instruments
BP2-STS
- Apfel, Nicolas University of Surrey, UK
- Farbmacher, Helmut TU Munich, Germany
- Groh, Rebecca TU Munich, Germany
- Huber, Martin ORCID University of Fribourg, Switzerland
- Langen, Henrika University of Fribourg, Switzerland
- 2022
Published in:
- arXiv:2207.04481v2. - 2022, p. 1-47
English
In the context of an endogenous binary treatment with heterogeneous effects and multiple instruments, we propose a two-step procedure to identify complier groups with identical local average treatment effects (LATE), despite relying on distinct instruments and even if several instruments violate the identifying assumptions. Our procedure is based on the fact that the LATE is homogeneous for any two or multiple instruments which (i) satisfy the LATE assumptions (instrument validity and treatment monotonicity in the instrument) and (ii) generate identical complier groups in terms of treatment propensities given the respective instruments. Under the (plurality) assumption that for each set of instruments with identical treatment propensities, those instruments satisfying the LATE assumptions constitute the relative majority, our procedure permits identifying these true instruments in a data driven way. We also provide a simulation study investigating the finite sample properties of our approach and an empirical application investigating the effect of incarceration on recidivism in the US with judge assignments serving as instruments.
- Faculty
- Faculté des sciences économiques et sociales et du management
- Department
- Département d'économie politique
- Language
-
- English
- Classification
- Economics
- License
- License undefined
- Persistent URL
- https://folia.unifr.ch/unifr/documents/327409
Statistics
Document views: 17
File downloads:
- Detecting Grouped Local Average Treatment Effects and Selecting True Instruments_July2022.pdf: 59