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International SOEP User Conference

SOEP 2022 - 14th International German Socio-Economic Panel User Conference

The 14th International German Socio-Economic Panel User Conference (SOEP2022) will be held in Berlin from June 30 to July 1, 2022 at DIW Berlin. The conference provides researchers who use the SOEP (including the SOEP part of the Cross-National Equivalent File (CNEF) and LIS/LWS data) with the opportunity to present and discuss their work with their peers. Researchers of all disciplines (e.g.,...

30.06.2022| Anja Abendroth (Bielefeld University), Arne Kalleberg (University of North Carolina at Chapel Hill)
Brown Bag Seminar Industrial Economics

Sponsored Search: How Platforms Exacerbate Product Market Concentration

How does online advertising affect consumer behaviour, product pricing and competition? To analyse this, I develop a theory of digital markets where an intermediary provides a platform for firms to advertise their product and where consumers need to engage in costly search if they want to learn about the product characteristics. First, I show that when prices are observable...

17.06.2022| Akhil Ilango, Universitat Pompeu Fabra Barcelona
Brown Bag Seminar Industrial Economics

GDPR and the Lost Generation of Innovative Apps

Using data on 4.1 million apps at the Google Play Store from 2016 to 2019, we document that GDPR induced the exit of about a third of available apps; and in the quarters following implementation, entry of new apps fell by half. We estimate a structural model of demand and entry in the app market. Comparing long-run equilibria with and without GDPR, we find that GDPR reduces consumer surplus and...

18.05.2022| Reinhold Kesler, University of Zurich
Externe referierte Aufsätze

Centre-Based Care and Parenting Activities

We examine the relationship between parenting activities and centre-based care using time diary and survey data for mothers in Germany. While mothers using centre-based care spend significantly less time in the presence of their child, we find that differences in the time spent on specific activities such as reading, talking, and playing with the child are relatively small or zero. The pattern of results ...

In: Oxford Bulletin of Economics and Statistics im Ersch. (2022), [Online first: 2022-06-16] | Jonas Jessen, C. Katharina Spieß, Sevrin Waights
Externe referierte Aufsätze

The Early Bird Catches the Worm! Setting a Deadline for Online Panel Recruitment Incentives

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 (2022), im Ersch. [online first: 2022-05-10] | Sabine Friedel, Barbara Felderer, Ulrich Krieger, Carina Cornesse, Annelies G. Blom
Externe referierte Aufsätze

Renewable Energy Targets and Unintended Storage Cycling: Implications for Energy Modeling

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
Externe referierte Aufsätze

Decentral Electrification, Network Interconnection, and Local Power Markets: An Introduction

In: Economics of Energy and Environmental Policy 11 (2022), 1, S. 1-4 | Sebastian Groh, Valerie J. Karplus, Christian von Hirschhausen
Externe referierte Aufsätze

Assessing the Value of Data for Prediction Policies: The Case of Antibiotic Prescribing

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
Weitere Aufsätze

Unsupervised Methods: Clustering Methods

In: Uwe Engel, Anabel Quan-Haase, Sunny Xun Liu, Lars Lyberg (Eds.) , Handbook of Computational Social Science Vol 2
London : Routledge
S. 334-351
| Johann Bacher, Andreas Pöge and Knut Wenzig
Externe referierte Aufsätze

Measurement Equivalence in Probability and Nonprobability Online Panels

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 (2022), im Ersch. [online first: 2022-04-18] | Hafsteinn Einarsson, Joseph W. Sakshaug, Alexandru Cernat, Carina Cornesse, Annelies G. Blom
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