Generalising treatment effects to unseen contexts (code to reproduce the analysis in myUG Dissertation)

Lubos Pernis
This capsule generates the tables and figures from my Dissertation on 'Generalising experimental results to unseen contexts'. Abstract: Being able to use existing experimental results to obtain predictions about the treatment effects in new locations can be highly relevant for policymakers wishing to implement a new programme. In this dissertation, I propose the use of an improved matching estimator and causal forests (Wager and Athey, 2018) for this problem. Using synthetic data, I show that...
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