Cross-country Evidence on the Allocation of COVID-19 Government Subsidies and Consequences for Productivity
Tommaso Bighelli, Tibor Lalinsky, Juuso Vanhala
Journal of the Japanese and International Economies,
June
2023
Abstract
We study the consequences of the Covid-19 pandemic and related policy support on productivity. We employ an extensive micro-distributed exercise to access otherwise unavailable individual data on firm performance and government subsidies. Our cross-country evidence for five EU countries shows that the pandemic led to a significant short-term decline in aggregate productivity and the direct support to firms had only a limited positive effect on productivity developments. A thorough comparative analysis of the distribution of employment and overall direct subsidies, considering separately also relative firm-level size of support and the probability of being supported, reveals ambiguous cross-country results related to the firm-level productivity and points to the decisive role of other firm characteristics.
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05.04.2023 • 9/2023
East German economy has come through energy crisis well so far – Implications of the Joint Economic Forecast Spring 2023 and new data for the East German economy
In 2022, the East German economy expanded by 3.0%, significantly stronger than the economy in West Germany (1.5%). The background is a more robust development of labour and retirement incomes. For 2023, the Halle Institute for Economic Research (IWH) forecasts a higher GDP growth rate of 1% in East Germany than in Germany as a whole (0.3%). The unemployment rate is expected to stagnate, with 6.8% in 2023 and 6.7% in the following year.
Oliver Holtemöller
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Correlation Scenarios and Correlation Stress Testing
Natalie Packham, Fabian Wöbbeking
Journal of Economic Behavior and Organization,
January
2023
Abstract
We develop a general approach for stress testing correlations of financial asset portfolios. The correlation matrix of asset returns is specified in a parametric form, where correlations are represented as a function of risk factors, such as country and industry factors. A sparse factor structure linking assets and risk factors is built using Bayesian variable selection methods. Regular calibration yields a joint distribution of economically meaningful stress scenarios of the factors. As such, the method also lends itself as a reverse stress testing framework: using the Mahalanobis distance or Highest Density Regions (HDR) on the joint risk factor distribution allows to infer worst-case correlation scenarios. We give examples of stress tests on a large portfolio of European and North American stocks.
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30.11.2022 • 28/2022
Stricter rules for banks can relieve real estate markets
Exuberant price levels in the German real estate market could further exacerbate an economic crisis. Fiscal instruments exert too little influence to contain this danger, shows a study by the Halle Institute for Economic Research (IWH).
Michael Koetter
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