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A nonparametric poolability test for panel data models with cross section dependence
Jin, Sainan
;
Su, Liangjun
- In:
Econometric reviews
32
(
2013
)
1/4
,
pp. 469-512
Persistent link: https://www.econbiz.de/10009717780
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2
Robustify financial time series forecasting with bagging
Jin, Sainan
;
Su, Liangjun
;
Ullah, Aman
- In:
Econometric reviews
33
(
2014
)
5/6
,
pp. 575-605
Persistent link: https://www.econbiz.de/10010360787
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3
Testing additive separability of error term in nonparametric structural models
Su, Liangjun
;
Tu, Yundong
;
Ullah, Aman
- In:
Econometric reviews
34
(
2015
)
6/10
,
pp. 1057-1088
Persistent link: https://www.econbiz.de/10011483450
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4
Asymptotics and bootstrap for random-effects panel data transformation models
Su, Liangjun
;
Yang, Zhenlin
- In:
Econometric reviews
37
(
2018
)
6/10
,
pp. 602-625
Persistent link: https://www.econbiz.de/10012040397
Saved in:
5
Determination of different types of fixed effects in three-dimensional panels
Lu, Xun
;
Miao, Ke
;
Su, Liangjun
- In:
Econometric reviews
40
(
2021
)
9
,
pp. 867-898
Persistent link: https://www.econbiz.de/10012624543
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6
Common threshold in quantile regressions with an application to pricing for reputation
Su, Liangjun
;
Pai Xu
- In:
Econometric reviews
38
(
2019
)
4
,
pp. 417-450
Persistent link: https://www.econbiz.de/10012181309
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7
A one-covariate-at-a-time multiple testing approach to variable selection in additive models
Su, Liangjun
;
Yang, Thomas Tao
;
Zhang, Yonghui
;
Zhou, …
- In:
Econometric reviews
43
(
2024
)
9
,
pp. 671-712
Persistent link: https://www.econbiz.de/10015050636
Saved in:
8
A Nonparametric Poolability Test for Panel Data Models with Cross Section Dependence
Jin, Sainan
;
Su, Liangjun
- In:
Econometric reviews
32
(
2013
)
4
,
pp. 469-512
Persistent link: https://www.econbiz.de/10010068764
Saved in:
9
A Nonparametric Poolability Test for Panel Data Models with Cross Section Dependence
Jin, Sainan
;
Su, Liangjun
- In:
Econometric reviews
32
(
2012
)
4
,
pp. 469-513
Persistent link: https://www.econbiz.de/10010044267
Saved in:
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