NBER WORKING PAPER SERIES DOING MORE WHEN YOU'RE RUNNING LATE: APPLYING MARGINAL TREATMENT EFFECT METHODS TO EXAMINE TREATMENT EFFECT HETEROGENEITY IN EXPERIMENTS

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Using Instrumental Variables for Inference About Policy Relevant Treatment Effects (2018, unknown): “5Recently, Kowalski (2016) has applied the linear case, which was studied in depth by Brinch, Mogstad, and Wiswall (2012, 2017), to analyze the Oregon Health Insurance Experiment.”
Sensitivity analysis using approximate moment condition models (2018, background): “A recent literature (Kowalski, 2016; Brinch et al., 2017; Mogstad et al., 2017) has focused on using assumptions on treatment effect heterogeneity to extrapolate these estimates to other populations.”