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Brown Bag Seminar Industrial Economics
We analyze mergers between strategic data intermediaries collecting consumer information that they sell to firms competing in a product market. We show that a merger: (a) reduces the intensity of competition in the product market through a change in the selling strategies of merging intermediaries; (b) increases data collection, reducing consumer surplus through a better rent extraction. We argue...
19.10.2022| Antoine Dubus, ETH Zürich
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International SOEP 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)
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Brown Bag Seminar Industrial Economics
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
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Brown Bag Seminar Industrial Economics
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
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Event
Leibniz ScienceCampusBerlin Centre for Consumer Policies (BCCP) Forum
The Forum will bring together all BCCP fellows in law and economics who are engaged in the activities of the science campus. We will have the opportunity to learn about each other’s research during short presentations by the different partner institutions followed by open discussion. The objective of the meeting is to encourage...
27.04.2022
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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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Diskussionspapiere 1998 / 2022
Data is often at the core of digital products and services, especially when related to online advertising. This has made data protection and privacy a major policy concern. When surfing the web, consumers leave digital traces that can be used to build user profiles and infer preferences. We quantify the extent to which Facebook can track web behavior outside of their own platform. The network of engagement ...
2022| Luis Aguiar, Christian Peukert, Maximilian Schäfer, Hannes Ullrich
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Weitere externe Aufsätze
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
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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