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~isPartOf:"Advances in data envelopment analysis"
~isPartOf:"Cambridge working papers in economics"
~isPartOf:"Computational economics"
~isPartOf:"IZA Discussion Paper"
~isPartOf:"Working paper / Department of Econometrics and Business Statistics, Monash University"
~person:"Akira Toda, Alexis"
~person:"Gao, Jiti"
~person:"Johansson, Per"
~person:"Linton, Oliver B."
~person:"Rothe, Christoph"
~person:"Santín, Daniel"
~person:"de Luna, Xavier"
~source:"econis"
~subject:"Cointegration"
~subject:"Estimation theory"
~subject:"Factor analysis"
~subject:"Forecasting model"
~subject:"Kausalanalyse"
~subject:"Nichtparametrisches Verfahren"
~subject:"Share price"
~subject:"Welt"
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Search: subject_exact:"Semiparametrische Statistik"
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Welt
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Akira Toda, Alexis
Gao, Jiti
Johansson, Per
Linton, Oliver B.
Rothe, Christoph
Santín, Daniel
de Luna, Xavier
Linton, Oliver
29
Li, Degui
12
Zhang, Xibin
12
Peng, Bin
9
Cheng, Tingting
8
Dong, Chaohua
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Chen, Jia
7
King, Maxwell L.
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Frölich, Markus
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Henderson, Daniel J.
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Martin, Gael M.
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Sancetta, Alessio
6
Silvapulle, Paramsothy
6
Gong, Xiaodong
5
Poskitt, Donald Stephen
5
Shang, Han Lin
5
Silvapulle, Mervyn J.
5
Forbes, Catherine Scipione
4
Hyndman, Rob J.
4
Maneesoonthorn, Worapree
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Vella, Francis
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Yan, Yayi
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Cherchye, L.
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Frazier, David T.
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Grose, Simone D.
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Klein, Roger W.
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Koo, Bonsoo
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Mammen, Enno
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Melly, Blaise
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Vermeulen, Frederic
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Zhang, Lina
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Zhao, Xueyan
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van den Berg, Gerard J.
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Bhattacharya, Debopam
2
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Advances in data envelopment analysis
Cambridge working papers in economics
Computational economics
IZA Discussion Paper
Working paper / Department of Econometrics and Business Statistics, Monash University
Journal of econometrics
15
LSE STICERD Research Paper
12
School of Economics working papers / The University of Adelaide, School of Economics
10
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Essays in honor of Cheng Hsiao
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Estimation of semiparametric multi- index models using deep neural networks
Donga, Chaohua
;
Gao, Jiti
;
Peng, Bin
;
Yan, Yayi
-
2023
Persistent link: https://www.econbiz.de/10014452599
Saved in:
2
A nonparametric panel model for climate data with seasonal and spatial variation
Gao, Jiti
;
Linton, Oliver
;
Peng, Bin
-
2022
Persistent link: https://www.econbiz.de/10013484997
Saved in:
3
Nonparametric estimation and testing for time-varying VAR models
Gao, Jiti
;
Peng, Bin
;
Yan, Yayi
-
2022
Persistent link: https://www.econbiz.de/10013494327
Saved in:
4
A nonparametric panel model for climate data with seasonal and spatial variation
Gao, Jiti
;
Linton, Oliver
;
Peng, Bin
-
2022
Persistent link: https://www.econbiz.de/10013494366
Saved in:
5
Semiparametric single-index estimation for average treatment effects
Huang, Difang
;
Gao, Jiti
;
Oka, Tatsushi
-
2022
Persistent link: https://www.econbiz.de/10013494395
Saved in:
6
Asymptotics for time-varying vector MA (∞) processes
Yan, Yayi
;
Gao, Jiti
;
Peng, Bin
-
2021
Persistent link: https://www.econbiz.de/10012697951
Saved in:
7
Semiparametric spatial autoregressive panel data model with fixed effects and time-varying coefficients
Liang, Xuan
;
Gao, Jiti
;
Gong, Xiaodong
-
2021
Persistent link: https://www.econbiz.de/10012614543
Saved in:
8
A class of time-varying vector moving average (∞) models
Yan, Yayi
;
Gao, Jiti
;
Peng, Bin
-
2020
Persistent link: https://www.econbiz.de/10012610863
Saved in:
9
Time-varying panel data models with an additive factor structure
Liu, Fei
;
Gao, Jiti
;
Yang, Yanrong
-
2020
Persistent link: https://www.econbiz.de/10012610885
Saved in:
10
Nonparametric estimation in panel data models with heterogeneity and time-varyingness
Liu, Fei
;
Gao, Jiti
;
Yang, Yanrong
-
2019
Persistent link: https://www.econbiz.de/10012606705
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