Nothing Special about an Allowance for Corporate Equity: Evidence from Italian Banks
Dennis Dreusch, Felix Noth, Peter Reichling
Journal of International Money and Finance,
February
2025
Abstract
This paper analyzes the impact of reduced tax incentives for equity financing on banks' regulatory capital ratios under the Basel III regime. We are particularly interested in a recent interest rate cut in the Italian corporate equity allowance, which reduces the relative tax advantage of equity financing. The results show that banks respond to this increased tax disparity by significantly reducing their regulatory capital while at the same time reducing their risk-taking. The decline in capital is more pronounced for small banks and outweighs the initial capital gains from the introduction of this tax instrument. Our results challenge the use of equity allowances, in that financial stability gains persist only as long as costly tax subsidies remain intact and diminish as the size of the subsidy is reduced.
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Reassessing EU Comparative Advantage: The Role of Technology
Filippo di Mauro, Marco Matani, Gianmarco Ottaviano
IWH-CompNet Discussion Papers,
No. 2,
2024
Abstract
Based on the sufficient statistics approach developed by Huang and Ottaviano (2024), we show how the state of technology of European industries relative to the rest of the world can be empirically assessed in a way that is simple in terms of computation, parsimonious in terms of data requirements, but still comprehensive in terms of information. The lack of systematic cross-industry correlation between export specialization and technological advantage suggests that standard measures of revealed comparative advantage only imperfectly capture a country’s technological prowess due to the concurrent influences of factor prices, market size, markups, firm selection and market share reallocation.
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Reassessing EU Comparative Advantage: The Role of Technology
Filippo di Mauro, Marco Matani, Gianmarco Ottaviano
IWH Discussion Papers,
No. 26,
2024
Abstract
Based on the sufficient statistics approach developed by Huang and Ottaviano (2024), we show how the state of technology of European industries relative to the rest of the world can be empirically assessed in a way that is simple in terms of computation, parsimonious in terms of data requirements, but still comprehensive in terms of information. The lack of systematic cross-industry correlation between export specialization and technological advantage suggests that standard measures of revealed comparative advantage only imperfectly capture a country’s technological prowess due to the concurrent influences of factor prices, market size, markups, firm selection and market share reallocation.
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Robot Adoption at German Plants
Liuchun Deng, Verena Plümpe, Jens Stegmaier
Jahrbücher für Nationalökonomie und Statistik,
No. 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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Non-Standard Errors
Albert J. Menkveld, Anna Dreber, Felix Holzmeister, Juergen Huber, Magnus Johannesson, Michael Koetter, Markus Kirchner, Sebastian Neusüss, Michael Razen, Utz Weitzel, Shuo Xia, et al.
Journal of Finance,
No. 3,
2024
Abstract
In statistics, samples are drawn from a population in a datagenerating process (DGP). Standard errors measure the uncertainty in sample estimates of population parameters. In science, evidence is generated to test hypotheses in an evidencegenerating process (EGP). We claim that EGP variation across researchers adds uncertainty: non-standard errors. To study them, we let 164 teams test six hypotheses on the same sample. We find that non-standard errors are sizeable, on par with standard errors. Their size (i) co-varies only weakly with team merits, reproducibility, or peer rating, (ii) declines significantly after peer-feedback, and (iii) is underestimated by participants.
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Research Data Centre
Research Data Centre (IWH-RDC) Direct link to our Data Offer The IWH Research Data Centre offers external researchers access to microdata and micro-aggregated data sets that…
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Internationalisation
Internationalisation The Leibniz Institute for Economic Research Halle (IWH) is responsible for economic research and economic policy advice on a scientific basis. The institute…
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20E complete
20e Complete total files size: ~30 GB Back
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8th Round [DL FILTER]
8th Round Welcome to the CompNet dataset. In this page, you can navigate through the many files that compose the dataset and choose which one you need for your analysis. Below,…
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Joint Distribution Mac Sector (weighted)
20e Joint Distribution Mac Sector (weighted) total files size: 2.38 GB Back
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