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~isPartOf:"Applied economics letters"
~isPartOf:"Economics letters"
~isPartOf:"Journal of applied econometrics"
~isPartOf:"Journal of econometrics"
~language:"eng"
~person:"Gao, Jiti"
~person:"Linton, Oliver"
~person:"Park, Joon Y."
~subject:"Nonlinear regression"
~type_genre:"Article in journal"
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ECONIS (ZBW)
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1
Heterogeneous panel data models with cross-sectional dependence
Gao, Jiti
;
Xia, Kai
;
Zhu, Huanjun
- In:
Journal of econometrics
219
(
2020
)
2
,
pp. 329-353
Persistent link: https://www.econbiz.de/10012483391
Saved in:
2
Semiparametric single-index panel data models with cross-sectional dependence
Dong, Chaohua
;
Gao, Jiti
;
Peng, Bin
- In:
Journal of econometrics
188
(
2015
)
1
,
pp. 301-312
Persistent link: https://www.econbiz.de/10011500361
Saved in:
3
GARCH with omitted persistent covariate
Han, Heejoon
;
Park, Joon Y.
- In:
Economics letters
124
(
2014
)
2
,
pp. 248-254
Persistent link: https://www.econbiz.de/10010493650
Saved in:
4
Estimation in threshold autoregressive models with a stationary and a unit root regime
Gao, Jiti
;
Tjostheim, Dag
;
Yin, Jiying
- In:
Journal of econometrics
172
(
2013
)
1
,
pp. 1-13
Persistent link: https://www.econbiz.de/10009702338
Saved in:
5
Semiparametric trending panel data models with cross-sectional dependence
Chen, Jia
;
Gao, Jiti
;
Li, Degui
- In:
Journal of econometrics
171
(
2012
)
1
,
pp. 71-85
Persistent link: https://www.econbiz.de/10009686728
Saved in:
6
Functional-coefficient models for nonstationary time series data
Cai, Zongwu
;
Li, Qi
;
Park, Joon Y.
- In:
Journal of econometrics
148
(
2009
)
2
,
pp. 101-113
Persistent link: https://www.econbiz.de/10003833742
Saved in:
7
Time series properties of ARCH processes with persistent covariates
Han, Heejoon
;
Park, Joon Y.
- In:
Journal of econometrics
146
(
2008
)
2
,
pp. 275-292
Persistent link: https://www.econbiz.de/10003782974
Saved in:
8
Nonstationary nonlinear heteroskedasticity
Park, Joon Y.
- In:
Journal of econometrics
110
(
2002
)
2
,
pp. 383-415
Persistent link: https://www.econbiz.de/10001703530
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