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accessRights:"restricted"
subject:"Bootstrap approach"
~isPartOf:"Econometric reviews"
~person:"Drukker, David M."
~person:"Hsu, Yu-Chin"
~subject:"Regressionsanalyse"
~subject:"Robust statistics"
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Bootstrap approach
Regressionsanalyse
Robust statistics
Estimation theory
3
Schätztheorie
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Nichtparametrisches Verfahren
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2
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2
Bootstrap-Verfahren
1
Distribution function
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1
High-dimensional GLM model
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Induktive Statistik
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Modellierung
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covariate selection
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lasso
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lasso tuning parameters
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local quantile treatment effect
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monotonicity
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multiplier bootstrap
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partially linear model
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Drukker, David M.
Hsu, Yu-Chin
Otsu, Taisuke
3
Sun, Yiguo
3
Taylor, Luke
3
Dong, Hao
2
Dufour, Jean-Marie
2
Hu, Yingyao
2
Li, Shuo
2
Linton, Oliver
2
Pai Xu
2
Perron, Pierre
2
Su, Liangjun
2
Troster, Victor
2
Tu, Yundong
2
Aristodemou, Katerina
1
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1
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1
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1
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1
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1
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1
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1
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1
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Gao, Jiti
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ECONIS (ZBW)
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Estimation and inference for distribution and quantile functions in endogenous treatment effect models
Hsu, Yu-Chin
;
Lai, Tsung-Chih
;
Lieli, Robert P.
- In:
Econometric reviews
41
(
2022
)
1
,
pp. 22-50
Persistent link: https://www.econbiz.de/10013167577
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2
Two-step series estimation and specification testing of (partially) linear models with generated regressors
Hsu, Yu-Chin
;
Liao, Jen-Che
;
Lin, Eric S.
- In:
Econometric reviews
41
(
2022
)
9
,
pp. 985-1007
Persistent link: https://www.econbiz.de/10013364936
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3
Finite-sample results for lasso and stepwise Neyman-orthogonal Poisson estimators
Drukker, David M.
;
Liu, Di
- In:
Econometric reviews
41
(
2022
)
9
,
pp. 1047-1076
Persistent link: https://www.econbiz.de/10013364941
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