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ECONIS (ZBW)
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1
An autoregressive spectral density estimator at frequency zero for nonstationarity tests
Perron, Pierre
;
Ng, Serena
- In:
Econometric theory
14
(
1998
)
5
,
pp. 560-603
Persistent link: https://www.econbiz.de/10001381121
Saved in:
2
Panel unit root tests with cross-section dependence : a further investigation
Bai, Jushan
;
Ng, Serena
- In:
Econometric theory
26
(
2010
)
4
,
pp. 1088-1114
Persistent link: https://www.econbiz.de/10003993826
Saved in:
3
Estimators for persistent and possibly nonstationary data with classical properties
Gorodnichenko, Yuriy
;
Mikusheva, Anna
;
Ng, Serena
- In:
Econometric theory
28
(
2012
)
5
,
pp. 1003-1036
Persistent link: https://www.econbiz.de/10009714726
Saved in:
4
Measurement errors in dynamic models
Komunjer, Ivana
;
Ng, Serena
- In:
Econometric theory
30
(
2014
)
1
,
pp. 150-175
Persistent link: https://www.econbiz.de/10010399783
Saved in:
5
Instrumental variable estimation in a data rich environment
Bai, Jushan
;
Ng, Serena
- In:
Econometric theory
26
(
2010
)
6
,
pp. 1577-1606
Persistent link: https://www.econbiz.de/10008738353
Saved in:
6
TESTING FOR UNIT ROOTS IN PANELS WITH A FACTOR STRUCTURE
Breitung, Jörg
;
Das, Samarjit
;
Bai, J.
;
Ng, S.
;
Bai, J.
; …
- In:
Econometric theory
24
(
2008
)
1
,
pp. 88-108
Persistent link: https://www.econbiz.de/10007896792
Saved in:
7
ARTICLES - An Autoregressive Spectral Density Estimator at Frequency Zero for Nonstationarity Tests
Perron, Pierre
;
Ng, Serena
- In:
Econometric theory
14
(
1998
)
5
,
pp. 560-603
Persistent link: https://www.econbiz.de/10006991447
Saved in:
8
ESTIMATORS FOR PERSISTENT AND POSSIBLY NONSTATIONARY DATA WITH CLASSICAL PROPERTIES
Gorodnichenko, Yuriy
;
Mikusheva, Anna
;
Ng, Serena
- In:
Econometric theory
28
(
2012
)
5
,
pp. 1003-1037
Persistent link: https://www.econbiz.de/10010028016
Saved in:
9
INSTRUMENTAL VARIABLE ESTIMATION IN A DATA RICH ENVIRONMENT
Bai, Jushan
;
Ng, Serena
- In:
Econometric theory
26
(
2010
)
6
,
pp. 1577-1607
Persistent link: https://www.econbiz.de/10008719754
Saved in:
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