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Referierte Aufsätze Web of Science
Model-based scenario analyses of future energy systems often come to deviating results and conclusions when different models are used. This may be caused by heterogeneous input data and by inherent differences in model formulations. The representation of technologies for the conversion, storage, use, and transport of energy is usually stylized in comprehensive system models in order to limit the size ...
In:
Renewable and Sustainable Energy Reviews
158 (2022), 111995, 15 S.
| Hans Christian Gils, Hedda Gardian, Martin Kittel, Wolf-Peter Schill, Alexander Zerrahn, Alexander Murmann, Jann Launer, Alexander Fehler, Felix Gaumnitz, Jonas van Ouwerkerk, Christian Bußar, Jennifer Mikurda, Laura Torralba-Díaz, Tomke Janßen, Christine Krüger
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Referierte Aufsätze Web of Science
Comprehensive numerical models are pivotal to analyze the decarbonization of electricity systems. However, increasing system complexity and limited computational resources impose restrictions to model-based analyses. One way to reduce computational burden is to use a minimum, yet representative, set of system states for model simulation. These states characterize fluctuating renewable generation and ...
In:
Energy
247 (2022), 123458, 15 S.
| Martin Kittel, Hannes Hobbie, Constantin Dierstein
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Referierte Aufsätze Web of Science
This paper presents the results of a multi-model comparison to determine outcome deviations resulting from differences in power system models. We apply eight temporally and spatially resolved models to 16 stylized test cases. These test cases differ in their renewable energy supply share, technology scope, and optimization scope. We focus on technologies for balancing the variability of power generation, ...
In:
Renewable and Sustainable Energy Reviews
159 (2022), 112177, 14 S.
| Hans Christian Gils, Hedda Gardian, Martin Kittel, Wolf-Peter Schill, Alexander Murmann, Jann Launer, Felix Gaumnitz, Jonas van Ouwerkerk, Jennifer Mikurda, Laura Torralba-Díaz
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Referierte Aufsätze Web of Science
From a biological perspective, humans differ in the speed they age, and this may manifest in both mental and physical health disparities. The discrepancy between an individual’s biological and chronological age of the brain (“brain age gap”) can be assessed by applying machine learning techniques to Magnetic Resonance Imaging (MRI) data. Here, we examined the links between brain age gap and a broad ...
In:
Frontiers in Aging Neuroscience
14 (2022), 791222, 16 S.
| Philippe Jawinski, Sebastian Markett, Johanna Drewelies, Sandra Düzel, Ilja Demuth, Elisabeth Steinhagen-Thiessen, Gert G. Wagner, Denis Gerstorf, Ulman Lindenberger, Christian Gaser, Simone Kühn
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Referierte Aufsätze Web of Science
We study the rapidly growing literature on the causal effects of financial education programs in a meta-analysis of 76 randomized experiments with a total sample size of over 160,000 individuals. Many of these experiments are published in top economics and finance journals. The evidence shows that financial education programs have, on average, positive causal treatment effects on financial knowledge ...
In:
Journal of Financial Economics
145 (2022), S. 255–272
| Tim Kaiser, Annamaria Lusardi, Lukas Menkhoff, Carly Urband
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Referierte Aufsätze Web of Science
This article examines whether reducing care and housework duties and redistributing them within different-sex couples could further enhance gender equality on the labor market in terms of labor market participation for different employment types and actual working hours. Women around the world perform the majority of unpaid care and housework, with a large and persistent gap to men. Most research explains ...
In:
Research in Social Stratification and Mobility
77 (2022), 100659, 14 S.
| Claire Samtleben, Kai-Uwe Müller
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Referierte Aufsätze Web of Science
We quantify the value of data for the prediction policy problem of reducing antibiotic prescribing to curb antibiotic resistance. Using varying combinations of administrative data, we evaluate machine learning predictions for diagnosing bacterial urinary tract infections and the outcomes of prescription rules based on these predictions. Simple patient demographics improve prediction quality substantially ...
In:
Economics Letters
213 (2022), 110360, 4 S.
| Shan Huang, Michael Allan Ribers, Hannes Ullrich
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Referierte Aufsätze Web of Science
The self-employed faced strong income losses during the Covid-19 pandemic. Many governments introduced programs to financially support the self-employed during the pandemic, including Germany. The German Ministry for Economic Affairs announced a €50bn emergency-aid program in March 2020, offering one-off lump-sum payments of up to €15,000 to those facing substantial revenue declines. By reassuring ...
In:
Journal of Economic Psychology
93 (2022), 102567, 16 S.
| Joern Block, Alexander S. Kritikos, Maximilian Priem, Caroline Stiel
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Referierte Aufsätze Web of Science
We analyse a measure of loneliness from a representative sample of German individuals interviewed in both 2017 and at the beginning of the COVID-19 pandemic in 2020. Both men and women felt lonelier during the COVID-19 pandemic than they did in 2017. The pandemic more than doubled the gender loneliness gap: women were lonelier than men in 2017, and the 2017-2020 rise in loneliness was far larger for ...
In:
Journal of Behavioral and Experimental Economics
101 (2022), 101952, 7 S.
| Anthony Lepinteur, Andrew E. Clark, Ada Ferrer-i-Carbonell, Alan Piper, Carsten Schröder, Conchita D’Ambrosio
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Referierte Aufsätze Web of Science
We provide a description of ownership patterns in the top 25 European banks for the period 2003–2015, where we especially focus on the global financial crisis. Investment managers, such as Blackrock, are dominant in terms of number of blockholdings in different banks, maintaining fairly stable “common ownership” networks throughout our sample. However, the financial crisis led to capital injections ...
In:
Journal of Competition Law & Economics
18 (2022), 1, S. 135–167
| Albert Banal-Estañol, Nuria Boot, Jo Seldeslachts