Citations (24)
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Jiyang Ren. (2023) Model-Assisted Complier Average Treatment Effect Estimates in Randomized Experiments with Noncompliance. Journal of Business & Economic Statistics 0:0, pages 1-12.
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Wei Huang, Oliver Linton & Zheng Zhang. (2022) A Unified Framework for Specification Tests of Continuous Treatment Effect Models. Journal of Business & Economic Statistics 40:4, pages 1817-1830.
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Phillip Heiler. (2022) Efficient Covariate Balancing for the Local Average Treatment Effect. Journal of Business & Economic Statistics 40:4, pages 1569-1582.
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Yu-Chin Hsu, Tsung-Chih Lai & Robert P. Lieli. (2022) Estimation and inference for distribution and quantile functions in endogenous treatment effect models. Econometric Reviews 41:1, pages 22-50.
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Yu-Chin Hsu, Tsung-Chih Lai & Robert P. Lieli. (2022) Counterfactual Treatment Effects: Estimation and Inference. Journal of Business & Economic Statistics 40:1, pages 240-255.
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Yu-Chin Hsu, Kamhon Kan & Tsung-Chih Lai. (2021) Quantile structural treatment effects: application to smoking wage penalty and its determinants. Econometric Reviews 40:2, pages 128-147.
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Yi-Ting Chen, Yu-Chin Hsu & Hung-Jen Wang. (2020) A Stochastic Frontier Model with Endogenous Treatment Status and Mediator. Journal of Business & Economic Statistics 38:2, pages 243-256.
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Tao Chen, Yuanyuan Ji, Yahong Zhou & Pingfang Zhu. (2018) Testing Conditional Mean Independence Under Symmetry. Journal of Business & Economic Statistics 36:4, pages 615-627.
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Jason Abrevaya, Yu-Chin Hsu & Robert P. Lieli. (2015) Estimating Conditional Average Treatment Effects. Journal of Business & Economic Statistics 33:4, pages 485-505.
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Articles from other publishers (15)
Byeong Yeob Choi & M Alan Brookhart. (2023) Effects of Adjusting for Instrumental Variables on the Bias and Precision of Propensity Score Weighted Estimators: Analysis Under Complete, Near, and No Positivity Violations. Clinical Epidemiology Volume 15, pages 1055-1068.
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Byeong Yeob Choi. (2023) Instrumental variable estimation of weighted local average treatment effects. Statistical Papers.
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Dan A. Black, Joonhwi Joo, Robert LaLonde, Jeffrey A. Smith & Evan J. Taylor. (2022) Simple Tests for Selection: Learning More from Instrumental Variables. Labour Economics 79, pages 102237.
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Kyungchul Song & Zhengfei Yu. (2022) Estimation and inference on treatment effects under treatment-based sampling designs. The Econometrics Journal 25:3, pages 554-575.
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Umair Khalil & Neşe Yıldız. (2022) A test of the selection on observables assumption using a discontinuously distributed covariate. Journal of Econometrics 226:2, pages 423-450.
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Dan Black, Joonhwi Joo, Robert LaLonde, Jeffrey Andrew Smith & Evan Taylor. (2022) Simple Tests for Selection: Learning More from Instrumental Variables. SSRN Electronic Journal.
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Ying Fang, Shengfang Tang, Zongwu Cai & Ming Lin. (2020) An alternative test for conditional unconfoundedness using auxiliary variables. Economics Letters 194, pages 109320.
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Wolfgang Wiedermann & Xintong Li. (2019) Confounder detection in linear mediation models: Performance of kernel-based tests of independence. Behavior Research Methods 52:1, pages 342-359.
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Yu-Chin Hsu, Martin Huber & Tsung-Chih Lai. (2019) Nonparametric estimation of natural direct and indirect effects based on inverse probability weighting. Journal of Econometric Methods 8:1.
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Martin Huber & Kaspar Wüthrich. (2019) Local Average and Quantile Treatment Effects Under Endogeneity: A Review. Journal of Econometric Methods 8:1.
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Hiroyuki Takeshima. (2018) Mechanize or exit farming? Multiple-treatment-effects model and external validity of adoption impacts of mechanization among Nepalese smallholders. Review of Development Economics 22:4, pages 1620-1641.
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Yu-Chin Hsu. (2017) Consistent tests for conditional treatment effects. The Econometrics Journal 20:1, pages 1-22.
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Markus Frölich & Michael Lechner. (2015) Combining Matching and Nonparametric Instrumental Variable Estimation: Theory and An Application to the Evaluation of Active Labour Market Policies. Journal of Applied Econometrics 30:5, pages 718-738.
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Stephen G. Donald, Yu-Chin Hsu & Robert P. Lieli. (2014) Inverse probability weighted estimation of local average treatment effects: A higher order MSE expansion. Statistics & Probability Letters 95, pages 132-138.
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Qingshan Jiang & Can Huang. (2022) Covariate Distribution Balance Via Generalized Propensity Score Weighting for Continuous Treatment. SSRN Electronic Journal.
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