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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
Vierteljahrshefte zur Wirtschaftsforschung 4 / 2020

You Are What You Pay: Personal Profiling with Alternative Payment Data and the Data Protection Law

Nicht erst seit der Corona Pandemie gibt es weltweit den Trend zum bargeldlosen Zahlungsverkehr. Zudem beflügelt die Vorstellung eines zielgenauen Behavioral (Big Data) Scoring die Fantasien von Investoren in der Datentechnologiebranche. Es scheint ökonomisch verführerisch, beide Trends zusammenführen, wenn man alle Daten aus dem Zahlungsverkehr für ein persönliches Profil auswerten würde. Dieses Geschäftsmodell ...

2020| Pauline Affeldt, Ulrich Krüger
Vierteljahrshefte zur Wirtschaftsforschung 4 / 2020

GDPR vs. Big Data & AI in FinTechs

Dieser Artikel befasst sich mit der Vereinbarkeit der Nutzung von Big Data und Künstlicher Intelligenz (KI) durch FinTechs mit den europäischen Datenschutzgrundsätzen. FinTechs ersetzen zunehmend traditionelle Kreditinstitute und gewinnen bei der Bereitstellung von Finanzdienstleistungen an Bedeutung, insbesondere durch die Nutzung von KI und Big Data. Die Fähigkeit, eine große Menge unterschiedlicher ...

2020| Nermin Varmaz
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

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:, 2021, 48 S.
(arXiv ; 2107.13380)
| Martin Kittel, Wolf-Peter Schill

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

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

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
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

SOEP-RV: Linking German Socio-Economic Panel Data to Pension Records

The aim of the project SOEP-RV is to link data from participants in the German Socio-Economic Panel (SOEP) survey to their individual Deutsche Rentenversicherung (German Pension Insurance) records. For all SOEP respondents who give explicit consent to record linkage, SOEP-RV creates a linked dataset that combines the comprehensive multi-topic SOEP data with detailed cross-sectional and longitudinal ...

In: Jahrbücher für Nationalökonomie und Statistik (2022), im Ersch. [online first: 2021-07-30] | Holger Lüthen, Carsten Schröder, Markus M. Grabka, Jan Goebel, Tatjana Mika, Daniel Brüggmann, Sebastian Ellert und Hannah Penz
368 results, from 1