Testing rank similarity in the local average treatment effects model

DOI10.1080/07474938.2022.2114624MaRDI QIDQ6134143

Ju Hyun Kim, Byoung G. Park

Publication date: 25 July 2023

Published in: Econometric Reviews (Search for Journal in Brave)

zbMATH Keywords

identificationbootstraptreatment effectsrank similarityheterogeneous treatment effect model

Mathematics Subject Classification ID

Applications of statistics to economics (62P20)

Cites Work

• Instrumental variable estimation of nonseparable models
• Comparing IV with structural models: what simple IV can and cannot identify
• Convergence rates and asymptotic normality for series estimators
• Weak convergence of local quantile treatment effect processes
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• Simulation and the Asymptotics of Optimization Estimators
• Identification and Estimation of Triangular Simultaneous Equations Models Without Additivity
• Regression Quantiles
• Identification and Estimation of Local Average Treatment Effects
• Counterfactual mapping and individual treatment effects in nonseparable models with binary endogeneity
• Identification of Nonseparable Models Using Instruments With Small Support
• Identification of Nonseparable Triangular Models With Discrete Instruments
• A Test for Instrument Validity
• Unordered Monotonicity
• Bootstrap Critical Values for Tests Based on Generalized-Method-of-Moments Estimators
• Structural Equations, Treatment Effects, and Econometric Policy Evaluation1
• An IV Model of Quantile Treatment Effects
• Inference on Counterfactual Distributions
• Nonparametric Estimation of Nonadditive Random Functions
• Identification in Nonseparable Models
• Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings

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