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.,...
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 ...
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 ...
This year’s online conference is focusing on the Digital Markets Act (DMA), the EU legislative proposal to regulate digital markets in order to prevent abuses of market power. This regulatory tool contains behavioral obligations for large online platforms (‘gatekeepers’) aimed at reducing entry barriers and ensuring fairness in the relationship between digital platforms and their different user...
The tremendous growth of digital transactions – mainly through online platforms - is profoundly affecting the way we interact and opening vast opportunities to improve our lives. Consumers are benefiting from an unprecedented proliferation of new services and products that previously were too costly to be developed and marketed to customers. At the same time, the characteristics of platform...
This is an online seminar using Cisco Webex. You will receive the login data with the invitation to the talk. Abstract: Large-scale personal data collection for the purpose of personalized predictions has been driven by high expectations of efficiency gains in many business and policy settings. Yet, quantifying the trade-off between the costs of linking disconnected silos of personal...
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 ...
We study the impact of broadband availability on firms’ total factor productivity (TFP) using German firm-level data between 2010 and 2015. We adopt a control function approach to causally identify and separately estimate productivity for 46 two-digit manufacturing and service sectors. Over the sample period, broadband availability, measured by 16 Mbps transmission rates, more than doubled in German ...
Since 2010, Google, Apple, Facebook, Amazon, and Microsoft (GAFAM) have acquired more than 400 companies. Competition authorities did not scrutinize most of these transactions and blocked none. This raised concerns that GAFAM acquisitions target potential competitors yet fly under the radar of current merger control due to the features of the digital economy. We empirically study the competitive effects ...
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 ...