How Do EU Banks’ Funding Costs Respond to the CRD IV? An Assessment Based on the Banking Union Directives Database
Thomas Krause, Eleonora Sfrappini, Lena Tonzer, Cristina Zgherea
IWH Discussion Papers,
No. 12,
2024
Abstract
The establishment of the European Banking Union constitutes a major change in the regulatory framework of the banking system. Main parts are implemented via directives that show staggered transposition timing across EU member states. Based on the newly compiled Banking Union Directives Database, we assess how banks’ funding costs responded to the Capital Requirements Directive IV (CRD IV). Our findings show an upward trend in funding costs which is driven by an increase in cost of equity and partially offset by a decline in cost of debt. The diverging trends are most present in countries with an ex-ante lower regulatory capital stringency, which is in line with banks’ short-run adjustment needs but longer-run benefits from increased financial stability.
Read article
Reports of the European Forecasting Network (EFN)
Reports of the European Forecasting Network (EFN) The European Forecasting Network (EFN) was a group of macroeconomic experts from different European research institutions (such…
See page
Unions as Insurance: Workplace Unionization and Workers' Outcomes During COVID-19
Nils Braakmann, Boris Hirsch
Industrial Relations: A Journal of Economy and Society,
No. 2,
2024
Abstract
We investigate to what extent workplace unionization protects workers from external shocks by preventing involuntary job separations. Using the COVID-19 pandemic as a plausibly exogenous shock hitting the whole economy, we compare workers who worked in unionized and non-unionized workplaces directly before the pandemic in a difference-in-differences framework. We find that unionized workers were substantially more likely to remain working for their pre-COVID employer and to be in employment. This greater employment stability was not traded off against lower working hours or labor income.
Read article
Who Benefits from Place-based Policies? Evidence from Matched Employer-Employee Data
Philipp Grunau, Florian Hoffmann, Thomas Lemieux, Mirko Titze
IWH Discussion Papers,
No. 11,
2024
Abstract
We study the granular wage and employment effects of a German place-based policy using a research design that leverages conditionally exogenous EU-wide rules governing program parameters at the regional level. The place-based program subsidizes investments to create jobs with a subsidy rate that varies across labor market regions. The analysis uses matched data on the universe of establishments and their employees, establishment-level panel data on program participation, and regional scores that generate spatial discontinuities in program eligibility and generosity. Spatial spillovers of the program linked to changing commuting patterns can be assessed using information on place of work and place of residence, a unique feature of the data. These rich data enable us to study the incidence of the place-based program on different groups of individuals. We find that the program helps establishments create jobs that disproportionately benefit younger and less-educated workers. Funded establishments increase their wages but, unlike employment, wage gains do not persist in the long run. Employment effects estimated at the local area level are slightly larger than establishment- level estimates, suggesting limited economic spillover effects. On the other hand, spatial spillovers are large as over half of the employment increase comes from commuters. Using subsidy rates as an instrumental variable for actual subsidies indicates that it costs approximately EUR 25,000 to create a new job in the economically disadvantaged areas targeted by the program.
Read article
Forecasting Economic Activity Using a Neural Network in Uncertain Times: Monte Carlo Evidence and Application to the
German GDP
Oliver Holtemöller, Boris Kozyrev
IWH Discussion Papers,
No. 6,
2024
Abstract
In this study, we analyzed the forecasting and nowcasting performance of a generalized regression neural network (GRNN). We provide evidence from Monte Carlo simulations for the relative forecast performance of GRNN depending on the data-generating process. We show that GRNN outperforms an autoregressive benchmark model in many practically relevant cases. Then, we applied GRNN to forecast quarterly German GDP growth by extending univariate GRNN to multivariate and mixed-frequency settings. We could distinguish between “normal” times and situations where the time-series behavior is very different from “normal” times such as during the COVID-19 recession and recovery. GRNN was superior in terms of root mean forecast errors compared to an autoregressive model and to more sophisticated approaches such as dynamic factor models if applied appropriately.
Read article
Skill Mismatch and the Costs of Job Displacement
Frank Neffke, Ljubica Nedelkoska, Simon Wiederhold
Research Policy,
No. 2,
2024
Abstract
Establishment closures have lasting negative consequences for the workers displaced from their jobs. We study how these consequences vary with the amount of skill mismatch that workers experience after job displacement. Developing new measures of occupational skill redundancy and skill shortage, we analyze the work histories of individuals in Germany between 1975 and 2010. We estimate difference-in-differences models, using a sample of displaced workers who are matched to statistically similar non-displaced workers. We find that displacements increase the probability of occupation change eleven-fold. Moreover, the magnitude of post-displacement earnings losses strongly depends on the type of skill mismatch that workers experience in such job switches. Whereas skill shortages are associated with relatively quick returns to the earnings trajectories that displaced workers would have experienced absent displacement, skill redundancy sets displaced workers on paths with permanently lower earnings. We show that these differences can be attributed to differences in mismatch after displacement, and not to intrinsic differences between workers making different post-displacement career choices.
Read article
Transformation tables for administrative borders in Germany
Transformation tables for administrative borders in Germany The state has the ability to change the original spatial structure of its administrative regions. The stated goal of…
See page
IWH Subsidy Database
IWH Subsidy Databse The microdatabase currently comprises nine data sets on direct business subsidy programmes in Germany. The programme statistics kept by the project sponsors…
See page
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…
See page
The Effects of the Iberian Exception Mechanism on Wholesale Electricity Prices and Consumer Inflation: A Synthetic-controls Approach
Miguel Haro Ruiz, Christoph Schult, Christoph Wunder
Abstract
This study employs synthetic control methods to estimate the effect of the Iberian exception mechanism on wholesale electricity prices and consumer inflation, for both Spain and Portugal. We find that the intervention led to an average reduction of approximately 40% in the spot price of electricity between July 2022 and June 2023 in both Spain and Portugal. Regarding overall inflation, we observe notable differences between the two countries. In Spain, the intervention has an immediate effect, and results in an average decrease of 3.5 percentage points over the twelve months under consideration. In Portugal, however, the impact is small and generally close to zero. Different electricity market structures in each country are a plausible explanation.
Read article
