# Program evaluation and causal inference with high-dimensional data

@article{Belloni2013ProgramEA, title={Program evaluation and causal inference with high-dimensional data}, author={Alexandre Belloni and Victor Chernozhukov and Iv'an Fern'andez-Val and Christian Hansen}, journal={Econometrica}, year={2013}, volume={85}, pages={233-298} }

In this paper, we provide efficient estimators and honest con fidence bands for a variety of treatment eff ects including local average (LATE) and local quantile treatment eff ects (LQTE) in data-rich environments. We can handle very many control variables, endogenous receipt of treatment, heterogeneous treatment e ffects, and function-valued outcomes. Our framework covers the special case of exogenous receipt of treatment, either conditional on controls or unconditionally as in randomized…

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