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Yu-Chin Hsu
Yu-Chin Hsu
Research Fellow, Institute of Economics, Academia Sinica
Verified email at econ.sinica.edu.tw
Title
Cited by
Cited by
Year
Testing the predictive ability of technical analysis using a new stepwise test without data snooping bias
PH Hsu, YC Hsu, CM Kuan
Journal of Empirical Finance 17 (3), 471-484, 2010
2272010
Assessing value at risk with CARE, the conditional autoregressive expectile models
CM Kuan, JH Yeh, YC Hsu
Journal of Econometrics 150 (2), 261-270, 2009
2242009
Estimating conditional average treatment effects
J Abrevaya, YC Hsu, RP Lieli
Journal of Business & Economic Statistics 33 (4), 485-505, 2015
1972015
Estimation of conditional average treatment effects with high-dimensional data
Q Fan, YC Hsu, RP Lieli, Y Zhang
Journal of Business & Economic Statistics 40 (1), 313-327, 2022
1072022
Estimation and inference for distribution functions and quantile functions in treatment effect models
SG Donald, YC Hsu
Journal of Econometrics 178, 383-397, 2014
992014
Improving the power of tests of stochastic dominance
SG Donald, YC Hsu
Econometric Reviews 35 (4), 553-585, 2016
812016
Testing the unconfoundedness assumption via inverse probability weighted estimators of (L) ATT
SG Donald, YC Hsu, RP Lieli
Journal of Business & Economic Statistics 32 (3), 395-415, 2014
642014
Testing treatment effect heterogeneity in regression discontinuity designs
YC Hsu, S Shen
Journal of Econometrics 208 (2), 468-486, 2019
542019
Consistent tests for conditional treatment effects
YC Hsu
The econometrics journal 20 (1), 1-22, 2017
462017
Trend definition or holding strategy: What determines the profitability of candlestick charting?
TH Lu, YC Chen, YC Hsu
Journal of Banking & Finance 61, 172-183, 2015
442015
Incorporating covariates in the measurement of welfare and inequality: methods and applications
SG Donald, YC Hsu, GF Barrett
The Econometrics Journal 15 (1), C1-C30, 2012
392012
A generalized stepwise procedure with improved power for multiple inequalities testing
YC Hsu, CM Kuan, MF Yen
Journal of Financial Econometrics 12 (4), 730-755, 2014
322014
Testing identifying assumptions in fuzzy regression discontinuity designs
Y Arai, YC Hsu, T Kitagawa, I Mourifié, Y Wan
Quantitative Economics 13 (1), 1-28, 2022
232022
Direct and indirect effects of continuous treatments based on generalized propensity score weighting
M Huber, YC Hsu, YY Lee, L Lettry
Journal of Applied Econometrics 35 (7), 814-840, 2020
232020
Testing generalized regression monotonicity
YC Hsu, CA Liu, X Shi
Econometric Theory 35 (6), 1146-1200, 2019
232019
Using the area under an estimated ROC curve to test the adequacy of binary predictors
RP Lieli, YC Hsu
Journal of Nonparametric Statistics 31 (1), 100-130, 2019
222019
Inverse probability weighted estimation of local average treatment effects: A higher order mse expansion
SG Donald, YC Hsu, RP Lieli
Statistics & Probability Letters 95, 132-138, 2014
212014
Counterfactual treatment effects: Estimation and inference
YC Hsu, TC Lai, RP Lieli
Journal of Business & Economic Statistics 40 (1), 240-255, 2022
202022
A stochastic frontier model with endogenous treatment status and mediator
YT Chen, YC Hsu, HJ Wang
Journal of business & economic statistics 38 (2), 243-256, 2020
202020
Robust uniform inference for quantile treatment effects in regression discontinuity designs
HD Chiang, YC Hsu, Y Sasaki
Journal of Econometrics 211 (2), 589-618, 2019
172019
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