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German economy in transition ‒ weak momentum, low potential growth The Joint Economic Forecast Project Group forecasts a 0.1% decline in Germany's gross domestic product in 2024.…
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IWH Bankruptcy Research
IWH Bankruptcy Research The Bankruptcy Research Unit of the Halle Institute for Economic Research (IWH) presents the Institute’s research on the topics of corporate bankruptcy,…
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The Labor Effects of Judicial Bias in Bankruptcy
Aloisio Araujo, Rafael Ferreira, Spyridon Lagaras, Flavio Moraes, Jacopo Ponticelli, Margarita Tsoutsoura
Journal of Financial Economics,
No. 2,
2023
Abstract
We study the effect of judicial bias favoring firm continuation in bankruptcy on the labor market outcomes of employees by exploiting the random assignment of cases across courts in the State of São Paulo in Brazil. Employees of firms assigned to courts that favor firm continuation are more likely to stay with their employer, but they earn, on average, lower wages three to five years after bankruptcy. We discuss several potential mechanisms that can rationalize this result, and provide evidence that imperfect information about outside options in the local labor market and adjustment costs associated with job change play an important role.
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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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Charts
Info Graphs Sometimes pictures say more than a thousand words. Therefore, we selected a few graphs to present our main topics visually. If you should have any questions or would…
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Financial Stability
Financial Systems: The Anatomy of the Market Economy How the financial system is constructed, how it works, how to keep it fit and what good a bit of chocolate can do. Dossier In…
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Population and labour market
Population and labour market Inhabitants are all people (Germans and foreigners) with permanent residence in federal territory (or in a Land). That does not include members of…
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Competition and Moral Behavior: A Meta-Analysis of Forty-Five Crowd-Sourced Experimental Designs
Anna Dreber, Felix Holzmeister, Sabrina Jeworrek, Magnus Johannesson, Joschka Waibel, Utz Weitzel, et al.
Proceedings of the National Academy of Sciences of the United States of America (PNAS),
No. 23,
2023
Abstract
Does competition affect moral behavior? This fundamental question has been debated among leading scholars for centuries, and more recently, it has been tested in experimental studies yielding a body of rather inconclusive empirical evidence. A potential source of ambivalent empirical results on the same hypothesis is design heterogeneity—variation in true effect sizes across various reasonable experimental research protocols. To provide further evidence on whether competition affects moral behavior and to examine whether the generalizability of a single experimental study is jeopardized by design heterogeneity, we invited independent research teams to contribute experimental designs to a crowd-sourced project. In a large-scale online data collection, 18,123 experimental participants were randomly allocated to 45 randomly selected experimental designs out of 95 submitted designs. We find a small adverse effect of competition on moral behavior in a meta-analysis of the pooled data. The crowd-sourced design of our study allows for a clean identification and estimation of the variation in effect sizes above and beyond what could be expected due to sampling variance. We find substantial design heterogeneity—estimated to be about 1.6 times as large as the average standard error of effect size estimates of the 45 research designs—indicating that the informativeness and generalizability of results based on a single experimental design are limited. Drawing strong conclusions about the underlying hypotheses in the presence of substantive design heterogeneity requires moving toward much larger data collections on various experimental designs testing the same hypothesis.
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Employment Effects of Investment Grants and Firm Heterogeneity – Evidence from a Staggered Adoption Approach
Eva Dettmann, Mirko Titze, Antje Weyh
IWH Discussion Papers,
No. 6,
2023
Abstract
This study estimates the firm-level employment effects of investment grants in Germany. In addition to the average treatment effect on the treated, we examine discrimination in the funding rules as potential source of effect heterogeneity. We combine a staggered difference-in-differences approach that explicitly models variations in treatment timing with a matching procedure at the cohort level. The findings reveal a positive effect of investment grants on employment development in the full sample. The subsample analysis yields strong evidence for heterogeneous effects based on firm characteristics and the economic environment. This can help to improve the future design of the program.
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Oxytocin, Empathy, Altruism and Charitable Giving: Experimental Evidence from Blood Donations
Irena Jukić, Dejan Kovač, Danijela Vuletić Čugalj
IWH Discussion Papers,
No. 4,
2023
Abstract
We conducted a field experiment in the natural setting of blood donations to test how oxytocin relates to empathy and altruism. We randomly assigned blood donors in the Croatian Institute for Transfusion Medicine to three groups with the aim to induce different levels of empathy by showing a neutral video to the donors from the control group and an emotional to the donors from the first and second treatment groups. In addition to watching the emotional video, donors from the second treatment group are given a gift which relates to the emotional story from the video. We find no effect of our treatment on induced levels of oxytocin. Null effects of our treatments could be explained by the above average baseline levels of oxytocin and inability of our treatments to provoke emotional stimuli in blood donors. Nonetheless, for our empathy measures we find the effect of gift exchange on empathic concerns, but not on perspective taking. After our experimental treatments, we followed the return of our blood donors for a whole year. We find that only variable which consistently predicts return for blood donation in stated period is the number of previous donations. From policy perspective it is an important finding. Especially for hospitals and other blood providers when faced with time and resource constraints.
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