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type_genre:"Arbeitspapier"
type_genre:"Bibliographie enthalten"
~person:"Peng, Bin"
~subject:"Panel study"
~subject:"Regression analysis"
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Peng, Bin
Phillips, Peter C. B.
40
Dette, Holger
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38
Gao, Jiti
34
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Working paper / Department of Econometrics and Business Statistics, Monash University
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1
A localised neural network with dependent data: estimation and inference
Gao, Jiti
;
Peng, Bin
;
Yang, Yanrong
-
2023
Persistent link: https://www.econbiz.de/10014452592
Saved in:
2
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:
3
Estimation and inference for three-dimensional panel data models
Feng, Guohua
;
Gao, Jiti
;
Liu, Fei
;
Peng, Bin
-
2023
Persistent link: https://www.econbiz.de/10014452624
Saved in:
4
Multi-level panel data models : estimation and empirical analysis
Feng, Guohua
;
Gao, Jiti
;
Peng, Bin
-
2022
Persistent link: https://www.econbiz.de/10013193952
Saved in:
5
Interactive effects panel data models with general factors and regressors
Peng, Bin
;
Su, Liangjun
;
Westerlund, Joakim
;
Yang, Yanrong
-
2021
Persistent link: https://www.econbiz.de/10012697956
Saved in:
6
Binary response models for heterogeneous panel data with interactive fixed effects
Gao, Jiti
;
Liu, Fei
;
Peng, Bin
-
2020
Persistent link: https://www.econbiz.de/10012610898
Saved in:
7
A varying-coefficient panel data model with fixed effects : theory and an application to U.S. commercial banks
Feng, Guohua
;
Gao, Jiti
;
Peng, Bin
;
Zhang, Xiaohui
-
2015
Persistent link: https://www.econbiz.de/10011781225
Saved in:
8
Partially linear panel data models with cross-sectional dependence and nonstationarity
Dong, Chaohua
;
Gao, Jiti
;
Peng, Bin
-
2015
Persistent link: https://www.econbiz.de/10011781166
Saved in:
9
Consistent estimation in large heterogeneous panels with multifactor structure endogeneity
Forchini, Giovanni
;
Jiang, Bin
;
Peng, Bin
-
2015
Persistent link: https://www.econbiz.de/10011781263
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