Alumni
IWH Alumni The IWH maintains contact with its former employees worldwide. We involve our alumni in our work and keep them informed, for example, with a newsletter. We also plan…
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Macro Data Download
Macro Data Download On this page, you will find long time series of macroeconomic data provided by IWH for download. Please note that most files come with labels and legends in…
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Forced Migration, Staying Minorities, and New Societies: Evidence from Postwar Czechoslovakia
Jakub Grossmann, Štěpán Jurajda, Felix Rösel
American Journal of Political Science,
No. 2,
2023
Abstract
Can staying minorities who evade ethnic cleansing affect political outcomes in resettled communities? After World War Two, three million ethnic Germans were expelled from Czechoslovakia's Sudetenland, but some were allowed to stay, many of them left-leaning antifascists. We study quasi-experimental local variation in expulsion policies, a result of the surprising presence of the U.S. Army, which indirectly helped antifascist Germans stay. We find a long-lasting footprint: Communist party support, party cells, and far-left values are stronger today where antifascist Germans stayed in larger numbers. Postwar German Communist elites appear to be behind this effect along with the intergenerational transmission of values among active party members.
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Geopolitical turn intensifies crisis – structural reforms even more urgent The German economy will continue to tread water in 2025. In their spring report, the leading economic…
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People
People Doctoral Students PhD Representatives Alumni Supervisors Lecturers Coordinators Doctoral Students Afroza Alam (Supervisor: Reint Gropp ) Julian Andres Diaz Acosta…
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IWH FDI Micro Database
IWH FDI Micro Database The IWH FDI Micro Database (FDI = Foreign Direct Investment) comprises a total population of affiliates of multinational enterprises (MNEs) in selected…
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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.
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27.03.2024 • 10/2024
Joint Economic Forecast 1/2024: Headwinds from Germany and abroad: institutes revise forecast significantly downwards
According to Germany’s five leading economic research institutes, the country’s economy shows cyclical and structural weaknesses. In their spring report, they revised their GDP forecast for the current year significantly downward to 0.1%. In the recent fall report, the figure was still 1.3%. Expectations for the coming year are almost unchanged at 1.4% (previously 1.5%). However, the level of economic activity will then be over 30 billion euros lower due to the current weak phase.
Oliver Holtemöller
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Gender Equality & Anti-Discrimination
Equal Opportunities at IWH IWH commits to actively promoting equal opportunities for men and women, going beyond already existing guidelines. In 2013, 2016, 2019, and again in…
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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.
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