2
H index
1
i10 index
26
Citations
Bureau d'Économie Théorique et Appliquée (BETA) | 2 H index 1 i10 index 26 Citations RESEARCH PRODUCTION: 5 Articles 1 Papers RESEARCH ACTIVITY:
MORE DETAILS IN: ABOUT THIS REPORT:
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Works with: Authors registered in RePEc who have co-authored more than one work in the last five years with Emmanouil Sofianos. | Is cited by: | Cites to: |
Journals with more than one article published | # docs |
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Energies | 2 |
Year ![]() | Title of citing document ![]() |
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2024 | Inflation prediction in emerging economies: Machine learning and FX reserves integration for enhanced forecasting. (2024). Mirza, Nawazish ; Umar, Muhammad ; Naqvi, Bushra ; Abbas, Syed Kumail. In: International Review of Financial Analysis. RePEc:eee:finana:v:94:y:2024:i:c:s1057521924001704. Full description at Econpapers || Download paper |
2024 | Estimation of global natural gas spot prices using big data and symbolic regression. (2024). Praksova, Renata ; Staji, Ljubia ; Brki, Dejan. In: Resources Policy. RePEc:eee:jrpoli:v:95:y:2024:i:c:s0301420724005117. Full description at Econpapers || Download paper |
2024 | GDP nowcasting: A machine learning and remote sensing data-based approach for Bolivia. (2024). Bolivar Rosales, Osmar. In: Latin American Journal of Central Banking (previously Monetaria). RePEc:eee:lajcba:v:5:y:2024:i:3:s2666143824000085. Full description at Econpapers || Download paper |
2024 | How does the economic structure break change the forecast effect of money and credit on output? Evidence based on machine learning algorithms. (2024). Zhan, Minghua ; Tian, Yuan ; Zhao, Zhihui ; Lu, Yao. In: Pacific-Basin Finance Journal. RePEc:eee:pacfin:v:84:y:2024:i:c:s0927538x24000763. Full description at Econpapers || Download paper |
2024 | Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy. (2024). Shami, Labib ; Lazebnik, Teddy. In: Computational Economics. RePEc:kap:compec:v:63:y:2024:i:4:d:10.1007_s10614-023-10369-4. Full description at Econpapers || Download paper |
2025 | Going a Step Deeper Down the Rabbit Hole: Deep Learning Model to Measure the Size of the Unregistered Economy Activity. (2025). Lazebnik, Teddy. In: Computational Economics. RePEc:kap:compec:v:65:y:2025:i:3:d:10.1007_s10614-024-10606-4. Full description at Econpapers || Download paper |
2025 | Machine learning forecasting in the macroeconomic environment: the case of the US output gap. (2025). Papadimitriou, Theophilos ; Gogas, Periklis ; Alexakis, Christos ; Sofianos, Emmanouil. In: Economic Change and Restructuring. RePEc:kap:ecopln:v:58:y:2025:i:1:d:10.1007_s10644-024-09849-w. Full description at Econpapers || Download paper |
Year ![]() | Title ![]() | Type ![]() | Cited ![]() |
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2021 | Forecasting Natural Gas Spot Prices with Machine Learning In: Energies. [Full Text][Citation analysis] | article | 8 |
2024 | Forecasting East and West Coast Gasoline Prices with Tree-Based Machine Learning Algorithms In: Energies. [Full Text][Citation analysis] | article | 1 |
2023 | Cryptocurrencies and Long-Range Trends In: IJFS. [Full Text][Citation analysis] | article | 0 |
2019 | Money Neutrality, Monetary Aggregates and Machine Learning In: DUTH Research Papers in Economics. [Full Text][Citation analysis] | paper | 2 |
2022 | Mind the gap: forecasting euro-area output gaps with machine learning In: Applied Economics Letters. [Full Text][Citation analysis] | article | 2 |
2022 | Forecasting unemployment in the euro area with machine learning In: Journal of Forecasting. [Full Text][Citation analysis] | article | 13 |
CitEc is a RePEc service, providing citation data for Economics since 2001. Last updated April, 14 2025. Contact: CitEc Team