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Externe referierte Aufsätze

Changing Fortunes and Attitudes: What Determines the Political Trust In Modern Russia?

Research background: We are guided by concepts linking political trust with the perceived rank of people in the wealth hierarchy, their confidence in other people, and the means they use to learn about events at home and abroad.Purpose of the article: The aim of the article is to assess and analyse at the micro level the impact of subjective welfare, interpersonal trust and the intensity of usage of ...

In: Oeconomia Copernicana 12 (2021), 1, S. 77-98 | Marina Yu. Malkina, Vyacheslav N. Ovchinnikov, Konstantin A. Kholodilin
Monographien

Home Broadband and Human Capital Formation

This paper estimates the effect of home high-speed internet on national test scores of students at age 14. We combine comprehensive information on the telecom network, administrative student records, house prices and local amenities in England in a fuzzy spatial regression discontinuity design across invisible telephone exchange catchment areas. Using this strategy, we find that increasing broadband ...

München: CESifo, 2021, 48 S.
(CESifo Working Papers ; 8846)
| Rosa Sanchis-Guarner, Jose Montalban, Felix Weinhardt
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
DIW Weekly Report 48 / 2021

Artificial Intelligence in Germany: Employees Often Unaware They Are Working with AI-Based Systems

Using a new SOEP-IS data module on digitalization including information on the prevalence of AI use in the workplace, this report shows that the term “artificial intelligence” often remains inscrutable in the day-to-day work of many employees. When asked directly about the use of digital systems with the term “artificial intelligence,” around 20 percent of the working respondents in the sample indicate ...

2021| Oliver Giering, Alexandra Fedorets, Jule Adriaans, Stefan Kirchner
Externe referierte Aufsätze

Big Tech Acquisitions — Towards Empirical Evidence

In: Journal of European Competition Law & Practice 12 (2021), 6, S. 471–478 | Pauline Affeldt, Reinhold Kesler
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
Monographien

Setting Priorities, Pooling Resources and Accelerating Transformation: New Approaches in Industrial and Technology Policy

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
Externe referierte Aufsätze

Data on Digital Transformation in the German Socio-Economic Panel

Public debates and current research on “digitalization” suggest that digital technologies could profoundly transform the world of work. While broad claims are common in these debates, empirical evidence remains scarce. This calls for reliable data for empirical research and evidence-based policymaking. We implemented a data module in the Socio-Economic Panel to gather information on digitalization ...

In: Jahrbücher für Nationalökonomie und Statistik (2022), im Ersch. [online first: 2021-12-24] | Alexandra Fedorets, Stefan Kirchner, Jule Adriaans, Oliver Giering
Monographien

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', ...

Ithaca: arXiv.org, 2021, 48 S.
(arXiv ; 2107.13380)
| Martin Kittel, Wolf-Peter Schill
Externe referierte Aufsätze

People Underestimate the Errors Made by Algorithms for Credit Scoring and Recidivism Prediction but Accept Even Fewer Errors

This study provides the first representative analysis of error estimations and willingness to accept errors in a Western country (Germany) with regards to algorithmic decision-making systems (ADM). We examine people’s expectations about the accuracy of algorithms that predict credit default, recidivism of an offender, suitability of a job applicant, and health behavior. Also, we ask whether expectations ...

In: Scientific Reports 11 (2021), 20171, 11 S. | Felix G. Rebitschek, Gerd Gigerenzer, Gert G. Wagner
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