The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Identification of Treatment Effects Using Control Functions in Models with Continuous, Endogenous Treatment and Heterogeneous Effects
Open accessAbstract
We use the control function approach to identify the average treatment effect and the effect of treatment on the treated in models with a continuous endogenous regressor whose impact is heterogeneous.We assume a stochastic polynomial restriction on the form of the heterogeneity but, unlike alternative nonparametric control function approaches, our approach does not require large support assumptions.
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Identification and estimation of local average treatment effects
Imbens, G. W., & Angrist, J. D. (1994) · Econometrica · doi:10.2307/2951620 · Cited by 4,101
Cited by
Inference on Causal Effects in a Generalized Regression Kink Design
Card, D., Lee, D. S., Pei, Z., & Weber, A. (2015) · Econometrica · doi:10.3982/ecta11224 · Cited by 269
Metadata
- Authors
- Florens, J.-P., Heckman, J., Meghir, C., & Vytlacil, E.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 2008-05
- OpenAlex
- W2118618810
- Cited by
- 184
- References
- 1
- Type
- report
- Language
- en
- Open access
- green
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- Florens, J.-P., Heckman, J., Meghir, C., & Vytlacil, E. (2008). Identification of Treatment Effects Using Control Functions in Models with Continuous, Endogenous Treatment and Heterogeneous Effects. National Bureau of Economic Research. https://doi.org/10.3386/w14002
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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