Using Causal Forests to Predict Treatment Heterogeneity: An Application to Summer Jobs

By Jonathan M. V. Davis, Sara B. Heller. 2017

170 citations recorded by the source corpus.

Subfields: Sociology and Political Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/0fd5ce4b8de65ea16593bf9c9a9d75bde782118a

Citations in the corpus

• Rethinking the Benefits of Youth Employment Programs: The Heterogeneous Effects of Summer Jobs (2017, unknown): “…using all the available information on Xs rather than testing whether particular Xs are associated with significantly different treatment effects.12 Our methodology for estimating causal forests, based on Athey and Imbens (2016) and Wager and Athey (2018), is described in Davis and Heller (2017).”