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Economic forecasts ; 2004,Autu...
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Computational economics
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International review of economics & finance : IREF
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Studies on Russian economic development : the official journal of the Institute of Economic Forecasting, Russian Academy of Sciences
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The North American journal of economics and finance : a journal of financial economics studies
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1
Yield curve and recession forecasting in a Machine Learning framework
Gkonkas, Periklēs
;
Papadimitriou, Theophilos
; …
- In:
Computational economics
45
(
2015
)
4
,
pp. 635-645
Persistent link: https://www.econbiz.de/10011440977
Saved in:
2
Sparse Bayesian variable selection in probit model for forecasting U.S. recessions using a large set of predictors
Yang, Aijun
;
Xiang, Ju
;
Yang, Hongqiang
;
Jinguan, Lin
- In:
Computational economics
51
(
2018
)
4
,
pp. 1123-1138
Persistent link: https://www.econbiz.de/10011972241
Saved in:
3
Nonlinear forecasting of Euro Area industrial production using evolutionary approaches
Avdoulas, Christos
;
Bekiros, Stelios
- In:
Computational economics
52
(
2018
)
2
,
pp. 521-530
Persistent link: https://www.econbiz.de/10012052980
Saved in:
4
Evolutionary computation for macroeconomic forecasting
Claveria, Oscar
;
Monte, Enric
;
Torra, Salvador
- In:
Computational economics
53
(
2019
)
2
,
pp. 833-849
Persistent link: https://www.econbiz.de/10012134879
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5
Boosting and predictability of macroeconomic variables : evidence from Brazil
Torrent, Hudson da Silva
- In:
Computational economics
64
(
2024
)
1
,
pp. 377-409
Persistent link: https://www.econbiz.de/10015078030
Saved in:
6
Nowcasting GDP growth for small open economies with a mixed-frequency structural model
Yau, Ruey
;
Hueng, C. James
- In:
Computational economics
54
(
2019
)
1
,
pp. 177-198
Persistent link: https://www.econbiz.de/10012134110
Saved in:
7
Forecasting of real GDP growth using machine learning models : gradient boosting and random forest approach
Yoon, Jaehyun
- In:
Computational economics
57
(
2021
)
1
,
pp. 247-265
Persistent link: https://www.econbiz.de/10012486898
Saved in:
8
Sparse Bayesian variable selection with correlation prior for forecasting macroeconomic variable using highly correlated predictors
Yang, Aijun
;
Xiang, Ju
;
Shu, Lianjie
;
Yang, Hongqiang
- In:
Computational economics
51
(
2018
)
2
,
pp. 323-338
Persistent link: https://www.econbiz.de/10011963673
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9
Post‑COVID recovery and long‑run forecasting of Indian GDP with Factor‑Augmented Error Correction Model (FECM)
Maiti, Dibyendu
;
Kumar, Naveen
;
Jha, Debajit
;
Sarkar, …
- In:
Computational economics
63
(
2024
)
3
,
pp. 1095-1120
Persistent link: https://www.econbiz.de/10014546333
Saved in:
10
Measuring the resilience to the Covid-19 pandemic of Eurozone economies with their 2050 forecasts
Rostan, Pierre
;
Rostan, Alexandra
;
Wall, John
- In:
Computational economics
63
(
2024
)
3
,
pp. 1137-1157
Persistent link: https://www.econbiz.de/10014546353
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