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Externe referierte Aufsätze
To decarbonize the economy, many governments have set targets for the use of renewable energy sources. These are often formulated as relative shares of electricity demand or supply. Implementing respective constraints in energy models is a surprisingly delicate issue. They may cause a modeling artifact of excessive electricity storage use. We introduce this phenomenon as “unintended storage cycling”, ...
In:
iScience
25 (2022), 4, 104002, 30 S.
| Martin Kittel, Wolf-Peter Schill
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Externe referierte Aufsätze
Nonprobability online panels are commonly used in the social sciences as a fast and inexpensive way of collecting data in contrast to more expensive probability-based panels. Given their ubiquitous use in social science research, a great deal of research is being undertaken to assess the properties of nonprobability panels relative to probability ones. Much of this research focuses on selection bias, ...
In:
International Journal of Market Research
64 (2022), 4, S. 484–505
| Hafsteinn Einarsson, Joseph W. Sakshaug, Alexandru Cernat, Carina Cornesse, Annelies G. Blom
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Externe referierte Aufsätze
About 80 million people were displaced worldwide at the end of 2020. To support this highly vulnerable group, in recent years, local bottom-up initiatives proliferated to support refugee integration in hosting communities. This study examines a network intervention for refugees in collaboration with a social start-up whose mission is to match refugees and local volunteers to form friendships. We apply ...
In:
Journal of Ethnic and Migration Studies
48 (2022), 17, S. 4085-4105
| Philipp Jaschke, Lea-Maria Löbel, Magdalena Krieger, Nicolas Legewie, Martin Kroh, Jannes Jacobsen, Diana Schacht
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Externe referierte Aufsätze
In:
Economics of Energy and Environmental Policy
11 (2022), 1, S. 1-4
| Sebastian Groh, Valerie J. Karplus, Christian von Hirschhausen
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Externe referierte Aufsätze
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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Externe referierte Aufsätze
This study explores how researchers’ analytical choices affect the reliability of scientific findings. Most discussions of reliability problems in science focus on systematic biases. We broaden the lens to emphasize the idiosyncrasy of conscious and unconscious decisions that researchers make during data analysis. We coordinated 161 researchers in 73 research teams and observed their research decisions ...
In:
Proceedings of the National Academy of Sciences of the United States of America
119 (2022), 44, e2203150119, 8 S.
| Nate Breznau, Eike Mark Rinke, Alexander Wuttke, Tomasz Żółtak, Jule Adriaans, Philipp Lersch, Lea-Maria Löbel, Katja Schmidt, Jürgen Schupp, Jannes Jacobsen ...
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Externe Monographien
In response to strong revenue and income losses that a large share of the self-employed faced during the COVID-19 pandemic, the German federal government introduced a €50bn emergency aid program. Based on real-time online-survey data comprising more than 20,000 observations, we analyze the impact of this program on the subjective survival probability. In particular, we investigate how the digitalization ...
Bonn:
IZA,
2022,
29 S.
(Discussion Paper Series / Forschungsinstitut zur Zukunft der Arbeit ; 15608)
| Irene Bertschek, Joern Block, Alexander S. Kritikos, Caroline Stiel
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Externe Monographien
In response to strong revenue and income losses that a large share of the self-employed faced during the COVID-19 pandemic, the German federal government introduced a €50bn emergency aid program. Based on real-time online-survey data comprising more than 20,000 observations, we analyze the impact of this program on the subjective survival probability. In particular, we investigate how the digitalization ...
Mannheim:
ZEW,
2022,
29 S.
(Discussion Paper / Zentrum für Europäische Wirtschaftsforschung ; 22-045)
| Irene Bertschek, Joern Block, Alexander S. Kritikos, Caroline Stiel
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Diskussionspapiere 2018 / 2022
In response to strong revenue and income losses that a large share of the self-employed faced during the COVID-19 pandemic, the German federal government introduced a €50bn emergency aid program. Based on real-time online-survey data comprising more than 20,000 observations, we analyze the impact of this program on the subjective survival probability. In particular, we investigate how the digitalization ...
2022| Irene Bertschek, Joern Block, Alexander S. Kritikos, Caroline Stiel
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Externe referierte Aufsätze
Indikatoren sollen der Steuerung von (sozialen) Prozessen dienen. Sie beschreiben jedoch die Realität in der Regel nur deskriptiv und unvermeidlich mit mehr oder weniger großen und systematischen Messfehlern behaftet. Insofern ist es im Allgemeinen alles andere als einfach mit Hilfe von Indikatoren zu steuern; insbesondere dann, wenn für Problembereiche (fehlerbehaftete) Zielwerte vorgegeben werden, ...
In:
AStA Advances in Statistical Analysis
16 (2022), S. 171–187
| Gert G. Wagner