Do Post-Corona European Economic Policies Lift Growth Prospects? Exploring an ML-Methodology.

Autor: Herzog, Bodo
Předmět:
Zdroj: Journal of Risk & Financial Management; Mar2022, Vol. 15 Issue 3, p120-N.PAG, 13p
Abstrakt: 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. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index