IWH-Flash-Indikator III. und IV. Quartal 2024
Katja Heinisch, Oliver Holtemöller, Axel Lindner, Birgit Schultz
IWH-Flash-Indikator,
Nr. 3,
2024
Abstract
Die deutsche Wirtschaft ist noch immer im Abschwung. Seit nunmehr zwei Jahren folgen abwechselnd minimale Zu- und Abnahmen von einem Quartal auf das nächste. Zuletzt nahm das Bruttoinlandsprodukt (BIP) im zweiten Quartal 2024 um 0,1% ab. Zuvor war es zwar um 0,2% gestiegen (vgl. Abbildung 1), aber auch dies reicht nicht aus, um die negative Produktionslücke zu verringern. Die Produktion in der Industrie und vor allem am Bau ist im zweiten Quartal spürbar gesunken. Auch im laufenden dritten Quartal ist die Stimmung der Unternehmen schlecht. Neben einer schwachen Nachfrage für Exportgüter gibt es eine Reihe von Gründen, warum ein Aufschwung noch nicht in Gang kommt: So wirken neben hohen Zinsen und Energiepreisen auch eine richtungslose Politik sowie eine Vielzahl geopolitischer Krisenherde investitionshemmend. Auch der nach wie vor hohe Krankenstand belastet die Wirtschaft. Alles in allem dürfte das Bruttoinlandsprodukt (BIP) laut IWH-Flash-Indikator im dritten Quartal 2024 um lediglich 0,2% steigen, was erneut keine konjunkturelle Trendwende bedeutet. Eine kräftigere Belebung könnte sich aufgrund steigender Realeinkommen am Jahresende einstellen.
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Robot Adoption at German Plants
Liuchun Deng, Verena Plümpe, Jens Stegmaier
Jahrbücher für Nationalökonomie und Statistik,
Nr. 3,
2024
Abstract
Using a newly collected dataset at the plant level from 2014 to 2018, we provide the first microscopic portrait of robotization in Germany and study the correlates of robot adoption. Our descriptive analysis uncovers five stylized facts: (1) Robot use is relatively rare. (2) The distribution of robots is highly skewed. (3) New robot adopters contribute substantially to the recent robotization. (4) Robot users are exceptional. (5) Heterogeneity in robot types matters. Our regression results further suggest plant size, high-skilled labor share, exporter status, and labor shortage to be strongly associated with the future probability of robot adoption.
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Do Politicians Affect Firm Outcomes? Evidence from Connections to the German Federal Parliament
André Diegmann, Laura Pohlan, Andrea Weber
IWH Discussion Papers,
Nr. 15,
2024
Abstract
We study how connections to German federal parliamentarians affect firm dynamics by constructing a novel dataset linking politicians and election candidates to the universe of firms. To identify the causal effect of access to political power, we exploit (i) new appointments to the company leadership team and (ii) discontinuities around the marginal seat of party election lists. Our results reveal that connections lead to reductions in firm exits, gradual increases in employment growth without improvements in productivity. Adding information on credit ratings, subsidies and procurement contracts allows us to distinguish between mechanisms driving the effects over the politician’s career.
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Medienecho
Medienecho April 2025 Reint Gropp: Tarif nur im Westen: Kampf um Lohngleichheit im KEB Schneeberg in: ARD tagesschau, 29.04.2025 Reint Gropp: Ost-West-Lohnlücke: Arbeitnehmer…
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Alumni
IWH-Alumni Das IWH pflegt den Kontakt zu seinen ehemaligen Mitarbeiterinnen und Mitarbeitern weltweit. Wir beziehen unsere Alumni in unsere Arbeit ein und unterrichten diese…
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Archiv
Medienecho-Archiv 2021 2020 2019 2018 2017 2016 Dezember 2021 IWH: Ausblick auf Wirtschaftsjahr 2022 in Sachsen mit Bezug auf IWH-Prognose zu Ostdeutschland: "Warum Sachsens…
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Lecturers
Lecturers at CGDE Institutions Jordan Adamson Assistant Professor at Institute for Empirical Economic Research, Leipzig University. Website Course: Econometrics (winter term…
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DPE Course Programme Archive
DPE Course Programme Archive 2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2025 Microeconomics several lecturers winter term 2024/2025 (IWH) Econometrics…
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Skill Mismatch and the Costs of Job Displacement
Frank Neffke, Ljubica Nedelkoska, Simon Wiederhold
Research Policy,
Nr. 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.
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Searching where Ideas Are Harder to Find – The Productivity Slowdown as a Result of Firms Hindering Disruptive Innovation
Richard Bräuer
IWH Discussion Papers,
Nr. 22,
2023
Abstract
This paper proposes to explain the productivity growth slowdown with the poaching of disruptive inventors by firms these inventors threaten with their research. I build an endogenous growth model with incremental and disruptive innovation and an inventor labor market where this defensive poaching takes place. Incremental firms poach more as they grow, which lowers the probability of disruption and makes large incremental firms even more prevalent. I perform an event study around disruptive innovations to confirm the main features of the model: Disruptions increase future research productivity, hurt incumbent inventors and raise the probability of future disruption. Without disruption, technology classes slowly trend even further towards incrementalism. I calibrate the model to the global patent landscape in 1990 and show that the model predicts 52% of the decline of disruptive innovation until 2010.
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