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subject:"Prognoseverfahren"
~isPartOf:"Computational economics"
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Prognoseverfahren
National income
9
Nationaleinkommen
9
Forecasting model
6
Economic growth
5
Wirtschaftswachstum
5
Economic forecast
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Wirtschaftsprognose
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Alaminos, David
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Chrysanthidou, Efthymia
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Fernández Gámez, Manuel A.
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Computational economics
International journal of forecasting
48
Journal of forecasting
22
Applied economics
13
Economic modelling
13
Empirical economics : a journal of the Institute for Advanced Studies, Vienna, Austria
12
Applied economics letters
9
Working paper
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Banque de France Working Paper
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Focus on European economic integration
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Journal of business & economic statistics : JBES ; a publication of the American Statistical Association
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De Nederlandsche Bank Working Paper
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Econometric Institute research papers
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Empirical economics : a quarterly journal of the Institute for Advanced Studies
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Journal of applied econometrics
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Journal of international money and finance
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National Institute economic review
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Romanian journal of economic forecasting
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Staff working paper / Bank of Canada
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Working paper series / European Central Bank
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Working papers / National Institute of Public Finance and Policy
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Business economics : the journal of the National Association for Business Economists
4
CAMA working paper series
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Discussion paper
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Discussion paper / Centre for Economic Policy Research
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ECB Working Paper
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GDP and spending
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Swiss journal of economics and statistics
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Working paper / Graduate Institute of International and Development Studies
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Working paper / Türkiye Cumhuriyet Merkez Bankası
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Banco de Espana Working Paper
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BoF economics review
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Bundesbank Series 1 Discussion Paper
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ECONIS (ZBW)
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A novel prediction model : ELM-ABC for annual GDP in the case of SCO countries
Xu, Xiaohan
;
Rogers, Roy Anthony
;
Estrada, Mario Arturo Ruiz
- In:
Computational economics
62
(
2023
)
4
,
pp. 1545-1566
Persistent link: https://www.econbiz.de/10014437500
Saved in:
2
Comparing out-of-sample performance of machine learning methods to forecast U.S. GDP growth
Chu, Ba
;
Qureshi, Shafiullah
- In:
Computational economics
62
(
2023
)
4
,
pp. 1567-1609
Persistent link: https://www.econbiz.de/10014437505
Saved in:
3
Quantum computing and deep learning methods for GDP growth forecasting
Alaminos, David
;
Salas, M. Belén
;
Fernández Gámez, …
- In:
Computational economics
59
(
2022
)
2
,
pp. 803-829
Persistent link: https://www.econbiz.de/10013169077
Saved in:
4
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:
5
Nowcasting US GDP using tree-based ensemble models and dynamic factors
Soybilgen, Barış
;
Yazgan, Mustafa Ege
- In:
Computational economics
57
(
2021
)
1
,
pp. 387-417
Persistent link: https://www.econbiz.de/10012486916
Saved in:
6
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
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