Forecasting the Stability and Growth Pact compliance using Machine Learning
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- Kea Baret & Amélie Barbier-Gauchard & Theophilos Papadimitriou, 2023. "Forecasting the Stability and Growth Pact compliance using Machine Learning," Post-Print hal-03121966, HAL.
- Kéa Baret & Amélie Barbier-Gauchard & Théophilos Papadimitriou, 2021. "Forecasting the Stability and Growth Pact compliance using Machine Learning," Working Papers of BETA 2021-01, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
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Cited by:
- Kea BARET, 2021. "Fiscal rules’ compliance and Social Welfare," Working Papers of BETA 2021-38, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
- Carlos Fonseca Marinheiro, 2021. "The Expenditure Benchmark: Complex and Unsuitable for Independent Fiscal Institutions," Comparative Economic Studies, Palgrave Macmillan;Association for Comparative Economic Studies, vol. 63(3), pages 411-431, September.
- Kea BARET, 2021. "Fiscal rules’ compliance and Social Welfare," Working Papers of BETA 2021-50, Bureau d'Economie Théorique et Appliquée, UDS, Strasbourg.
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More about this item
Keywords
Fiscal Rules; Fiscal Compliance; Stability and Growth Pact; Machine learning.;All these keywords.
JEL classification:
- F - International Economics
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2022-12-12 (Big Data)
- NEP-CMP-2022-12-12 (Computational Economics)
- NEP-EEC-2022-12-12 (European Economics)
- NEP-FOR-2022-12-12 (Forecasting)
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