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isPartOf:"Journal of business & economic statistics : JBES ; a publication of the American Statistical Association"
~isPartOf:"Applied economics letters"
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
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ECONIS (ZBW)
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1
Large-scale generalized linear models for longitudinal data with grouped patterns of unobserved heterogeneity
Ando, Tomohiro
;
Bai, Jushan
- In:
Journal of business & economic statistics : JBES ; a …
41
(
2023
)
3
,
pp. 983-994
Persistent link: https://www.econbiz.de/10014448483
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2
Factor and factor loading augmented estimators for panel regression with possibly nonstrong factors
Beyhum, Jad
;
Gautier, Eric
- In:
Journal of business & economic statistics : JBES ; a …
41
(
2023
)
1
,
pp. 270-281
Persistent link: https://www.econbiz.de/10013540841
Saved in:
3
State-varying factor models of large dimensions
Pelger, Markus
;
Xiong, Ruoxuan
- In:
Journal of business & economic statistics : JBES ; a …
40
(
2022
)
3
,
pp. 1315-1333
Persistent link: https://www.econbiz.de/10013539523
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4
Interpretable sparse proximate factors for large dimensions
Pelger, Markus
;
Xiong, Ruoxuan
- In:
Journal of business & economic statistics : JBES ; a …
40
(
2022
)
4
,
pp. 1642-1664
Persistent link: https://www.econbiz.de/10013540407
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5
A panel data model with interactive effects characterized by multilevel non-parallel factors
Li, Jiaolong
;
Yang, Zhiqin
- In:
Applied economics letters
25
(
2018
)
10
,
pp. 707-712
Persistent link: https://www.econbiz.de/10012129803
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6
In-sample inference and forecasting in misspecified factor models
Carrasco, Marine
;
Rossi, Barbara
- In:
Journal of business & economic statistics : JBES ; a …
34
(
2016
)
3
,
pp. 313-338
Persistent link: https://www.econbiz.de/10011691438
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7
Selecting the correct number of factors in approximate factor models : the large panel case with group bridge estimators
Caner, Mehmet
;
Han, Xu
- In:
Journal of business & economic statistics : JBES ; a …
32
(
2014
)
3
,
pp. 359-374
Persistent link: https://www.econbiz.de/10010488511
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