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language:"eng"
subject:"Nonparametric statistics"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~person:"Huang, Difang"
~person:"Zhao, Xueyan"
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Nonparametric statistics
Estimation theory
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Nichtparametrisches Verfahren
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Binary Dependent Variables
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IV-Schätzung
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Huang, Difang
Zhao, Xueyan
Gao, Jiti
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Linton, Oliver
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Working paper / Department of Econometrics and Business Statistics, Monash University
Monash Econometrics and Business Statistics Working Paper Series
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Semiparametric single-index estimation for average treatment effects
Huang, Difang
;
Gao, Jiti
;
Oka, Tatsushi
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2022
Persistent link: https://www.econbiz.de/10013494395
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2
Decomposing identification gains and evaluating instrument identification power for partially identified average treatment effects
Zhang, Lina
;
Frazier, David T.
;
Poskitt, Donald Stephen
; …
-
2021
-
(updated version of working paper no. 34/20)
Persistent link: https://www.econbiz.de/10012697939
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3
Decomposing identification gains and evaluating instrument identification power for partially identified average treatment effects
Zhang, Lina
;
Frazier, David T.
;
Poskitt, Donald Stephen
; …
-
2020
Persistent link: https://www.econbiz.de/10012610822
Saved in:
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The bivariate probit model, maximum likelihood estimation, pseudo true parameters and partial identification
Li, Chuhui
;
Poskitt, Donald Stephen
;
Zhao, Xueyan
-
2016
Persistent link: https://www.econbiz.de/10011781773
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