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Factor analysis
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Determining the number of factors in approximate factor models
Bai, Jushan
;
Ng, Serena
- In:
Econometrica : journal of the Econometric Society, an …
70
(
2002
)
1
,
pp. 191-221
Persistent link: https://www.econbiz.de/10001648105
Saved in:
2
Principal components estimation and identification of static factors
Bai, Jushan
;
Ng, Serena
- In:
Journal of econometrics
176
(
2013
)
1
,
pp. 18-29
Persistent link: https://www.econbiz.de/10009764410
Saved in:
3
Principal components estimation and identication of the factors
Bai, Jushan
;
Ng, Serena
-
2011
Persistent link: https://www.econbiz.de/10009748948
Saved in:
4
Panel cointegration with global stochastic trends
Bai, Jushan
;
Kao, Chihwa
;
Ng, Serena
- In:
Journal of econometrics
149
(
2009
)
1
,
pp. 82-99
Persistent link: https://www.econbiz.de/10003833733
Saved in:
5
Large dimensional factor analysis
Bai, Jushan
;
Ng, Serena
-
2008
Persistent link: https://www.econbiz.de/10003754726
Saved in:
6
Determining the number of primitive shocks in factor models
Bai, Jushan
;
Ng, Serena
- In:
Journal of business & economic statistics : JBES ; a …
25
(
2007
)
1
,
pp. 52-60
Persistent link: https://www.econbiz.de/10003410155
Saved in:
7
R&D, innovation and knowledge spillovers : a reapraisal of Botazzi and Peri (2007) in the presence of cross-sectional dependence
Bottasso, Anna
;
Castagnetti, Carolina
;
Conti, Maurizio
- In:
Journal of applied econometrics
30
(
2015
)
2
,
pp. 350-352
Persistent link: https://www.econbiz.de/10011332977
Saved in:
8
Rank regularized estimation of approximate factor models
Bai, Jushan
;
Ng, Serena
- In:
Journal of econometrics
212
(
2019
)
1
,
pp. 78-96
Persistent link: https://www.econbiz.de/10012303892
Saved in:
9
Approximate factor models with weaker loadings
Bai, Jushan
;
Ng, Serena
- In:
Journal of econometrics
235
(
2023
)
2
,
pp. 1893-1916
Persistent link: https://www.econbiz.de/10014471435
Saved in:
10
Panel data models and factor analysis
Bai, Jushan
-
2013
Persistent link: https://www.econbiz.de/10010247719
Saved in:
1
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4
5
6
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