The identification strategy used in this study is Difference in Differences with Dummy Outcomes (Price and Wolfers, 2010), which focuses on coach and artist gender interaction. Specifically, we estimate the following linear probability model...
One plausible solution is to estimate heterogeneous treatment effects. Instead of just estimating one effect, I estimate a distribution of effect size for a given unit with a given set of attributes and what their impact might be. To analyze this heterogeneous effect of own-gender bias, I incorporated the first difference approach into the causal forest approach...
The causal forest approach is consistent and asymptotically Gaussian and provides an estimator for their asymptotic variance that allows us to construct valid confidence intervals (Athey and Wager, 2019). Causal forest utilizes a forest-based approach to calculate a similarity weight and then applies the local generalized method of moments to estimate based on a weighted set of neighbors...
#difference-in-differences #heterogeneous-effects #causal-forest-approach #estimation-methodology #gender-bias
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