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Journal of econometrics
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1
Efficient estimation of approximate factor models via penalized maximum likelihood
Bai, Jushan
;
Liao, Yuan
- In:
Journal of econometrics
191
(
2016
)
1
,
pp. 1-18
Persistent link: https://www.econbiz.de/10011594307
Saved in:
2
Risks of large portfolios
Fan, Jianqing
;
Liao, Yuan
;
Shi, Xiaofeng
- In:
Journal of econometrics
186
(
2015
)
2
,
pp. 367-387
Persistent link: https://www.econbiz.de/10011349458
Saved in:
3
Inferences in panel data with interactive effects using large covariance matrices
Bai, Jushan
;
Liao, Yuan
- In:
Journal of econometrics
200
(
2017
)
1
,
pp. 59-78
Persistent link: https://www.econbiz.de/10011897698
Saved in:
4
Bayesian inference for partially identified smooth convex models
Liao, Yuan
;
Simoni, Anna
- In:
Journal of econometrics
211
(
2019
)
2
,
pp. 338-360
Persistent link: https://www.econbiz.de/10012303804
Saved in:
5
Sparse HP filter : finding kinks in the COVID-19 contact rate
Lee, Sokbae
;
Liao, Yuan
;
Seo, Myung Hwan
;
Shin, Youngki
- In:
Journal of econometrics
220
(
2021
)
1
,
pp. 158-180
Persistent link: https://www.econbiz.de/10012618477
Saved in:
6
Augmented factor models with applications to validating market risk factors and forecasting bond risk premia
Fan, Jianqing
;
Ke, Yuan
;
Liao, Yuan
- In:
Journal of econometrics
222
(
2021
)
1,2
,
pp. 269-294
Persistent link: https://www.econbiz.de/10012619418
Saved in:
7
Inference for low-rank completion without sample splitting with application to treatment effect estimation
Choi, Jungjun
;
Kwon, HyukJun
;
Liao, Yuan
- In:
Journal of econometrics
240
(
2024
)
1
,
pp. 1-23
Persistent link: https://www.econbiz.de/10015075024
Saved in:
8
Standard errors for panel data models with unknown clusters
Bai, Jushan
;
Choi, Sung Hoon
;
Liao, Yuan
- In:
Journal of econometrics
240
(
2024
)
2
,
pp. 1-15
Persistent link: https://www.econbiz.de/10015075111
Saved in:
9
Uniform predictive inference for factor models with instrumental and idiosyncratic betas
Cheng, Mingmian
;
Liao, Yuan
;
Yang, Xiye
- In:
Journal of econometrics
237
(
2023
)
2,3
,
pp. 1-28
Persistent link: https://www.econbiz.de/10014471816
Saved in:
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