Centre for Evidence-based Policy Advice
Centre for Evidence-based Policy Advice (IWH-CEP) The Centre for Evidence-based Policy Advice (IWH-CEP) of the IWH was founded in 2014. It is a platform that bundles and…
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East Germany
The Nasty Gap 30 years after unification: Why East Germany is still 20% poorer than the West Dossier In a nutshell The East German economic convergence process is hardly…
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Human Resources
Human Resources For information and questions concerning the payroll (earnings certificate, taxes, health insurance certificate etc.) please use the following E-Mail adress:…
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Cross-country Evidence on the Relationship between Regulations and the Development of the Life Insurance Sector
Chrysovalantis Gaganis, Iftekhar Hasan, Fotios Pasiouras
Economic Modelling,
July
2020
Abstract
Using a global sample, this study sketches the impact of insurance regulations on the life insurance sector, revealing a significant negative association between supervisory control on policy conditions of life annuities as well as pension products and the development of the industry. A similar inverse relation is observed between the index of capital requirements and insurance development. These results hold when we control for demographic factors, economic factors, religious inclination, culture, as well as for other relevant regulations. We also find some evidence that while the overall supervisory power does not matter, the ability to intervene at an early stage could have a positive effect on insurance development. Additionally, the impact of some regulations appears to differ between advanced and developing countries.
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Employment Effects of Introducing a Minimum Wage: The Case of Germany
Oliver Holtemöller, Felix Pohle
Abstract
This paper contributes to the empirical literature on the employment effects of minimum wages. We analysed the introduction of a statutory minimum wage in Germany in 2015 exploiting cross-sectional variation of the minimum wage affectedness. We construct two variables that measure the affectedness for approximately 300 state-industry combinations based on aggregate monthly income data. The estimation strategy consists of two steps. We test for (unidentified) structural breaks in a model with cross-section specific trends to control for state-industry specific developments prior to 2015. In a second step, we test whether the trend deviations are correlated with the minimum wage affectedness. To identify the minimum wage effect on employment, we assume that the minimum wage introduction is exogenous. Our results point towards a negative effect on marginal employment and a positive effect on socially insured employment. Furthermore, we analyse if the increase in socially insured employment is systematically related to the reduction of marginal employment but do not detect evidence.
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Spillover Effects among Financial Institutions: A State-dependent Sensitivity Value-at-Risk Approach
Z. Adams, R. Füss, Reint E. Gropp
Journal of Financial and Quantitative Analysis,
No. 3,
2014
Abstract
In this paper, we develop a state-dependent sensitivity value-at-risk (SDSVaR) approach that enables us to quantify the direction, size, and duration of risk spillovers among financial institutions as a function of the state of financial markets (tranquil, normal, and volatile). For four sets of major financial institutions (commercial banks, investment banks, hedge funds, and insurance companies) we show that while small during normal times, equivalent shocks lead to considerable spillover effects in volatile market periods. Commercial banks and, especially, hedge funds appear to play a major role in the transmission of shocks to other financial institutions.
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Spillover Effects among Financial Institutions: A State-dependent Sensitivity Value-at-Risk Approach
Z. Adams, R. Füss, Reint E. Gropp
Abstract
In this paper, we develop a state-dependent sensitivity value-at-risk (SDSVaR) approach that enables us to quantify the direction, size, and duration of risk spillovers among financial institutions as a function of the state of financial markets (tranquil, normal, and volatile). Within a system of quantile regressions for four sets of major financial institutions (commercial banks, investment banks, hedge funds, and insurance companies) we show that while small during normal times, equivalent shocks lead to considerable spillover effects in volatile market periods. Commercial banks and, especially, hedge funds appear to play a major role in the transmission of shocks to other financial institutions. Using daily data, we can trace out the spillover effects over time in a set of impulse response functions and find that they reach their peak after 10 to 15 days.
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