The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Nonparametric IV estimation of local average treatment effects with covariates
Abstract
In this paper nonparametric instrumental variable estimation of local average treatment effects (LATE) is extended to incorporate confounding covariates. Estimation of local average treatment effects is appealing since their identification relies on much weaker assumptions than the identification of average treatment effects in other nonparametric instrumental variable models. Including covariates in the estimation of LATE is necessary when the instrumental variable itself is endogenous (e.g. when the instrument is self-selected). However, all previous approaches to handle covariates in the estimation of LATE rely on parametric or semiparametric methods. In this paper, a nonparametric estimator for the estimation of LATE with covariates is suggested that is root-n asymptotically normal and efficient.
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Cites
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436
Vaart, A. W. V. D. (1998) · doi:10.1017/cbo9780511802256 · Cited by 4,159
Identification and estimation of local average treatment effects
Imbens, G. W., & Angrist, J. D. (1994) · Econometrica · doi:10.2307/2951620 · Cited by 4,101
Empirical Strategies in Labor Economics
Angrist, J. D., & Krueger, A. B. (1999) · Handbook of Labor Economics · doi:10.1016/s1573-4463(99)03004-7 · Cited by 1,628
The Asymptotic Variance of Semiparametric Estimators
Newey, W. K. (1994) · Econometrica · doi:10.2307/2951752 · Cited by 717
Imbens, G. W., Rubin, D. B., & Sacerdote, B. I. (2001) · American Economic Review · doi:10.1257/aer.91.4.778 · Cited by 512
Cited by
Imbens, G. W., Rubin, D. B., & Sacerdote, B. I. (2001) · American Economic Review · doi:10.1257/aer.91.4.778 · Cited by 512
Double/debiased machine learning for treatment and structural parameters
Newey, W. K., Hansen, C., Duflo, E., Robins, J., Chernozhukov, V., Demirer, M., & Chetverikov, D. (2017) · doi:10.1920/wp.cem.2017.2817 · Cited by 486
Does retirement trigger ill health?
Behncke, S. (2012) · Health Economics · doi:10.1002/hec.1712 · Cited by 289
Mozart or Pelé? The effects of adolescents' participation in music and sports
Cabane, C., Hille, A., & Lechner, M. (2016) · Labour Economics · doi:10.1016/j.labeco.2016.05.012 · Cited by 51
Efficient Difference-in-Differences Estimation with High-Dimensional Common Trend Confounding
Zimmert, M. (2018) · arXiv · doi:10.48550/arxiv.1809.01643 · Cited by 9
Metadata
- Authors
- Frölich, M.
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 2007-07
- Volume
- 139
- Issue
- 1
- Pages
- 35-75
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W2143966988
- Cited by
- 239
- References
- 6
- FWCI
- 3.66
- Type
- journal article
- Language
- en
- Open access
- closed
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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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