Estimating the Treatment Effect Heterogeneity of Providing Performance Information in Education: A Causal Forests Approach

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Abstract

This paper investigates the heterogeneous treatment effects of providing parents with academic information about their children on family educational investments, using both Randomized Controlled Trials (RCT) and Machine Learning (ML) methods. The findings offer a deeper and more nuanced understanding of how academic information interventions impact family human capital investments.

Authors

• Xinjie Zhang, Vanderbilt University

• Yi Wei, Peking University

• Yingquan Song, Peking University