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subject:"Nonparametric statistics"
~isPartOf:"Journal of productivity analysis"
~isPartOf:"NBER working paper series"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~person:"Feng, Guohua"
~person:"Poskitt, Donald Stephen"
~subject:"Impact assessment"
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Search: subject_exact:"Estimation theory"
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Nonparametric statistics
Impact assessment
Estimation theory
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Time series analysis
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Zeitreihenanalyse
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Estimation
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Nichtparametrisches Verfahren
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Feng, Guohua
Poskitt, Donald Stephen
Gao, Jiti
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Zhang, Xibin
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Peng, Bin
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Frazier, David T.
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Zhao, Xueyan
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Journal of productivity analysis
NBER working paper series
Working paper / Department of Econometrics and Business Statistics, Monash University
Econometric theory
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Journal of econometrics
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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
Saved in:
2
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:
3
Estimation of technical change and price elasticities : a categorical time-varying coefficient approach
Feng, Guohua
;
Gao, Jiti
;
Zhang, Xiaohui
-
2016
Persistent link: https://www.econbiz.de/10011781489
Saved in:
4
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
Saved in:
5
Estimation of technical change and price elasticities : a categorical time-varying coefficient approach
Feng, Guohua
;
Gao, Jiti
;
Zhang, Xiaohui
- In:
Journal of productivity analysis
50
(
2018
)
3
,
pp. 117-138
Persistent link: https://www.econbiz.de/10012005130
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