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Referierte Aufsätze Web of Science
Mobile sensing is a promising method that allows researchers to directly observe human social behavior in daily life using people's mobile phones. To date, limited knowledge exists on how well mobile sensing can assess the quantity and quality of social interactions. We therefore examined the agreement among experience sampling, day reconstruction, and mobile sensing in the assessment of multiple aspects ...
In:
Advances in Methods and Practices in Psychological Science
6 (2023), 3, S. 1-12
| Yannick Roos, Michael D. Krämer, David Richter, Ramona Schoedel, Cornelia Wrzus
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Referierte Aufsätze Web of Science
Panel studies have become an indispensable part of today's research world especially when addressing causal questions and tracking changes over time. Three conditions are essential for effective panel data analysis: 1) having a sufficiently long time series with a substantial number of observations, 2) ensuring measurement consistency over time, and 3) using a meaningful model for selecting elements ...
In:
Survey Research Methods
17 (2023), 3, S. 219-222
| Sabine Zinn, Tobias Wolbring
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Diskussionspapiere 2047 / 2023
This paper deals with the data generation process implemented for an analysis of the impact of the 9-Euro ticket on mode choice. We discuss the assumptions made and procedures used to process a raw dataset that is based on GPS traces of individuals’ movements and on survey data into the choice-set for a discrete choice model. Several steps of cleaning and merging are described in order to a) obtain ...
2023| Heike Link, Dennis Gaus, Neil Murray, Maria Fernanda Guajardo Ortega, Flavien Gervois, Frederik von Waldow, Sofia Eigner
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Referierte Aufsätze Web of Science
We use machine learning techniques to quantify trade tensions between the United States and China. Our measure matches well-known events in the US-China trade dispute and is exogenous to the developments on global financial markets. Local projections show that rising trade tensions leave US markets largely unaffected, except for firms that are more exposed to China, while negatively impacting stock ...
In:
Journal of Applied Econometrics
37 (2022), 6, S. 1138-1159
| Massimo Ferrari Minesso, Frederik Kurcz, Maria Sole Pagliari
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Referierte Aufsätze Web of Science
We introduce a selection model-based imputation approach to be used within the Fully Conditional Specification (FCS) framework for the Multiple Imputation (MI) of incomplete ordinal variables that are supposed to be Missing Not at Random (MNAR). Thereby, we generalise previous work on this topic which involved binary single-level and multilevel data to ordinal variables. We apply an ordered probit ...
In:
AStA Advances in Statistical Analysis
(2023), im Ersch. [online first: 2022-08-22]
| Angelina Hammon
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Referierte Aufsätze Web of Science
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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Referierte Aufsätze Web of Science
The literature on the effects of incentives in survey research is vast and covers a diversity of survey modes. The mode of probability-based online panels, however, is still young and so is research into how to best recruit sample units into the panel. This paper sheds light on the effectiveness of a specific type of incentive in this context: a monetary incentive that is paid conditionally upon panel ...
In:
Social Science Computer Review
41 (2023), 2, S. 370–389
| Sabine Friedel, Barbara Felderer, Ulrich Krieger, Carina Cornesse, Annelies G. Blom
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Referierte Aufsätze Web of Science
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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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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Externe Monographien
Bonn:
Friedrich-Ebert-Stiftung,
2021,
32 S.
(WISO Diskurs : Expertisen und Dokumentationen zur Wirtschafts- und Sozialpolitik ; 2021,14)
| Heike Belitz, Martin Gornig, Claudia Kemfert, Ralf Löckener, Torsten Sundmacher