Analyse der Effekte des Atomausstiegs auf die deutschen Großhandelsstrompreise 2023
Christoph Schult
Wirtschaft im Wandel,
Nr. 3,
2024
Abstract
Seit dem Atomausstieg am 15. April 2023 sind die Großhandelsstrompreise in Deutschland deutlich gesunken. Innerhalb des deutschen Merit-Order-Systems galten Atomkraftwerke als die kostengünstigste Form der Stromerzeugung. Hätten die Atomkraftwerke weiterbetrieben werden können, wären die Großhandelsstrompreise für den Zeitraum vom 16. April 2023 bis zum 31. Dezember 2023 voraussichtlich um 1% bis 8% niedriger gewesen. Insbesondere im Oktober hätte der Weiterbetrieb der Atomkraftwerke die Großhandelsstrompreise gesenkt, vor allem in Zeiten hoher Stromnachfrage und geringer Verfügbarkeit erneuerbarer Energien.
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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,
Nr. 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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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,
Nr. 3,
2024
Abstract
In statistics, samples are drawn from a population in a data-generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence-generating process (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer-review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.
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Are Rural Firms Left Behind? Firm Location and Perceived Job Attractiveness of High-skilled Workers
Matthias Brachert, Sabrina Jeworrek
Cambridge Journal of Regions, Economy and Society,
Nr. 1,
2024
Abstract
We conduct a discrete choice experiment to investigate how the location of a firm in a rural or urban region affects the perceived job attractiveness for university students and graduates and, therewith, contributes to the rural–urban divide. We characterize the attractiveness of a location based on several dimensions (social life, public infrastructure and connectivity) and vary job design and contractual characteristics of the job. We find that job offers from companies in rural areas are generally considered less attractive, regardless of the attractiveness of the region. The negative perception is particularly pronounced among persons of urban origin and singles. In contrast, for individuals with partners and kids this preference is less pronounced. High-skilled individuals who originate from rural areas have no specific regional preference at all.
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State Ownership and Financial Statement Comparability
William Francis, Xian Gu, Iftekhar Hasan, Joon Ho Kong
Journal of Business Finance and Accounting,
Nr. 7,
2024
Abstract
This paper investigates how state ownership affects financial reporting practices in China. Using several measures of state (government) ownership, we show that a one-standard-deviation increase in state ownership decreases financial statement comparability by 36.61%, and the impact is more pronounced when the central authority has majority control of the company. Moreover, lower earnings quality and lower levels of accounting conservatism among state-owned enterprises (SOEs) may explain the lower accounting comparability between SOEs and non-SOEs (NSOEs). Additionally, similar (different) managerial objectives converge (diverge) financial statement comparability between SOEs and NSOEs. Last, the geographical locations of firms also contribute to financial statement comparability. We employ a difference-in-differences design, changes regression and entropy balancing to mitigate potential endogeneity bias.
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