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• W4387442036 abstract "Summary We propose a semi-parametric test to evaluate (a) whether different instruments induce subpopulations of compliers with the same observable characteristics, on average; and (b) whether compliers have observable characteristics that are the same as the full population, treated subpopulation, or untreated subpopulation, on average. The test is a flexible robustness check for the external validity of instruments. To justify the test, we characterise the doubly robust moment for Abadie’s class of complier parameters, and we analyse a machine learning update to weighting that we call the automatic $kappa$ weight. We use the test to reinterpret Angrist and Evans' different local average treatment effect estimates obtained using different instrumental variables." @default.
• W4387442036 created "2023-10-10" @default.
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• W4387442036 date "2023-10-09" @default.
• W4387442036 modified "2023-10-18" @default.
• W4387442036 title "Double Robustness for Complier Parameters and a Semiparametric Test for Complier Characteristics" @default.
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• W4387442036 doi "https://doi.org/10.1093/ectj/utad019" @default.
• W4387442036 hasPublicationYear "2023" @default.
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