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person:"Lye, Jenny N."
subject:"Wahrscheinlichkeitsrechnung"
~person:"Arnold, Bernhard"
~person:"Lieli, Robert P."
~subject:"Elastizität"
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Estimation theory
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Lye, Jenny N.
Arnold, Bernhard
Lieli, Robert P.
Einmahl, John H. J.
9
Haan, Laurens de
9
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Estimation and inference for distribution functions and quantile functions in endogenous treatment effect models
Hsu, Yu-Chin
;
Lieli, Robert P.
;
Lai, Tsung-chih
-
2015
Persistent link: https://www.econbiz.de/10011383327
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2
Inverse probability weighted estimation of local average treatment effects : higher order MSE expansion
Donald, Stephen G.
;
Hsu, Yu-Chin
;
Lieli, Robert P.
-
2014
Persistent link: https://www.econbiz.de/10010246698
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3
Testing the unconfoundedness assumption via inverse probability weighted estimators of (L)ATT
Donald, Stephen G.
;
Hsu, Yu-Chin
;
Lieli, Robert P.
-
2012
Persistent link: https://www.econbiz.de/10009682383
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4
Confidence intervals for estimates of elasticities
Hirschberg, Joseph G.
(
contributor
); …
-
2008
Persistent link: https://www.econbiz.de/10003791741
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5
Testing the unconfoundedness assumption via inverse probability weighted estimators of (L)ATT
Donald, Stephen G.
;
Hsu, Yu-Chin
;
Lieli, Robert P.
- In:
Journal of business & economic statistics : JBES ; a …
32
(
2014
)
3
,
pp. 395-415
Persistent link: https://www.econbiz.de/10010488493
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6
Fuzzy prior information and minimax estimation in the linear regression model
Arnold, Bernhard
- In:
Statistical papers
38
(
1997
)
4
,
pp. 377-391
Persistent link: https://www.econbiz.de/10001231945
Saved in:
7
A note on the robustness of the generalized least squares estimator in linear regression
Arnold, Bernhard
-
1996
Persistent link: https://www.econbiz.de/10000953265
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8
Fuzzy prior information and minimax estimation in the linear regression model
Arnold, Bernhard
-
1995
Persistent link: https://www.econbiz.de/10000953245
Saved in:
9
Linear estimation in regression analysis using fuzzy prior information
Arnold, Bernhard
-
1995
Persistent link: https://www.econbiz.de/10000953247
Saved in:
10
Prediction in linear regression combining crisp data and fuzzy prior information
Arnold, Bernhard
-
1995
Persistent link: https://www.econbiz.de/10000953255
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