Do post-Corona European economic policies lift growth prospects? Exploring an ML-methodology

Artikel

This article explores the determinants of people's growth prospects in survey data as well as the impact of the European recovery fund to future growth. The focus is on the aftermath of the Corona pandemic, which is a natural limit to the sample size. We use Eurobarometer survey data and macroeconomic variables, such as GDP, unemployment, public deficit, inflation, bond yields, and fiscal spending data. We estimate a variety of panel regression models and develop a new simulation-regression methodology due to limitation of the sample size. We find the major determinant of people's growth prospect is domestic GDP per capita, while European fiscal aid does not significantly matter. In addition, we exhibit with the simulation-regression method novel scientific insights, significant outcomes, and a policy conclusion alike.

Angaben zum Objekt

• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Journal: Journal of Risk and Financial Management ; ISSN: 1911-8074 ; Volume: 15 ; Year: 2022 ; Issue: 3 ; Pages: 1-13 ; Basel: MDPI

Klassifikation und Themen

• Klassifikation: Wirtschaft ; Economic Growth of Open Economies ; Macroeconomic Issues of Monetary Unions ; Macroeconomic Aspects of International Trade and Finance: Forecasting and Simulation: Models and Applications ; Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
• Thema: European Union ; growth theory ; simulation-regression ; data science ; Julia programming

Beteiligte, Orts- und Zeitangaben

• Ereignis: Geistige Schöpfung
• (wer): Herzog, Bodo
• Ereignis: Veröffentlichung
• (wer): MDPI
• (wo): Basel
• (wann): 2022

Weitere Informationen

• DOI: doi:10.3390/jrfm15030120
• Handle: http://hdl.handle.net/10419/258843
• Letzte Aktualisierung: 10.03.2025, 11:45 MEZ