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~isPartOf:"Journal of business & economic statistics : JBES ; a publication of the American Statistical Association"
~subject:"Stochastic process"
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
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1
Panel stochastic frontier model with endogenous inputs and correlated random components
Hung-pin, Lai
;
Kumbhakar, Subal
- In:
Journal of business & economic statistics : JBES ; a …
41
(
2023
)
1
,
pp. 80-96
Persistent link: https://www.econbiz.de/10013540641
Saved in:
2
Using
survey
information for improving the density nowcasting of U.S. GDP
Çakmaklı, Cem
;
Demircan, Hamza
- In:
Journal of business & economic statistics : JBES ; a …
41
(
2023
)
3
,
pp. 667-682
Persistent link: https://www.econbiz.de/10014448419
Saved in:
3
Which factors are risk factors in asset pricing? : a model scan framework
Chib, Siddhartha
;
Zeng, Xiaming
- In:
Journal of business & economic statistics : JBES ; a …
38
(
2020
)
4
,
pp. 771-783
Persistent link: https://www.econbiz.de/10012313369
Saved in:
4
Short-term GDP forecasting with a mixed-frequency dynamic factor model with stochastic volatility
Marcellino, Massimiliano
;
Porqueddu, Mario
;
Venditti, …
- In:
Journal of business & economic statistics : JBES ; a …
34
(
2016
)
1
,
pp. 118-127
Persistent link: https://www.econbiz.de/10011691233
Saved in:
5
Functional autoregression for sparsely sampled data
Kowal, Daniel R.
;
Matteson, David S.
;
Ruppert, David
- In:
Journal of business & economic statistics : JBES ; a …
37
(
2019
)
1
,
pp. 97-109
Persistent link: https://www.econbiz.de/10012176502
Saved in:
6
Macroeconomic uncertainty through the lens of professional forecasters
Jo, Soojin
;
Sekkel, Rodrigo
- In:
Journal of business & economic statistics : JBES ; a …
37
(
2019
)
3
,
pp. 436-446
Persistent link: https://www.econbiz.de/10012178186
Saved in:
7
Numerically accelerated importance sampling for nonlinear non-Gaussian state-space models
Koopman, Siem Jan
;
Lucas, André
;
Scharth, Marcel
- In:
Journal of business & economic statistics : JBES ; a …
33
(
2015
)
1
,
pp. 114-127
Persistent link: https://www.econbiz.de/10011389921
Saved in:
8
Preaveraging-based estimation of quadratic variation in the presence of noise and jumps : theory, implementation, and empirical evidence
Hautsch, Nikolaus
;
Podolskij, Mark
- In:
Journal of business & economic statistics : JBES ; a …
31
(
2013
)
2
,
pp. 165-183
Persistent link: https://www.econbiz.de/10009754008
Saved in:
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