Topic Digitalization

7th BCCP Forum

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...

German Financial State Aid during COVID-19 Pandemic: Higher Impact among Digitalized Self-Employed

In response to strong revenue and income losses that a large share of the self-employed faced during the COVID-19 pandemic, the German federal government introduced a €50bn emergency aid program. Based on real-time online-survey data comprising more than 20,000 observations, we analyze the impact of this program on the subjective survival probability. In particular, we investigate how the digitalization ...

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 ...

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 ...

Do Words Hurt More than Actions? The Impact of Trade Tensions on Financial Markets

We use machine learning techniques to quantify trade tensions between the United States and China. Our measure matches well-known events in the US-China trade dispute and is exogenous to the developments on global financial markets. Local projections show that rising trade tensions leave US markets largely unaffected, except for firms that are more exposed to China, while negatively impacting stock ...

Large-scale Attitude Changes toward Immigrants and Refugees: The Roles of Cohort Affiliation and Threat Perceptions

Diese Dissertation untersucht die Determinanten für Veränderungen in der öffentlichen Meinung zu Zugewanderten und Geflüchteten. Im Mittelpunkt steht die ungeplante Zuwanderung Geflüchteter in den Jahren 2015/16. Die Untersuchung konzentriert sich auf Deutschland, erforscht aber auch den breiteren europäischen Kontext. Erkenntnisse aus Mehrebenenanalysen, Längsschnittdaten und exklusiv erhobenen Geodaten ...

Age-specific Effects of Early Daycare on Children's Health

Over the past decades, the share of very young children in daycare has increased significantly in many OECD countries, including Germany. Despite the relevance of child health for child development and later life success, the effect of early daycare attendance on health has received little attention in the economic literature. In this study, I investigate the impact of a large daycare expansion in ...

Official Data on Investments in Environmental Protection: Data Documentation (2005 - 2016)

Observing Many Researchers Using the Same Data and Hypothesis Reveals a Hidden Universe of Uncertainty

This study explores how researchers’ analytical choices affect the reliability of scientific findings. Most discussions of reliability problems in science focus on systematic biases. We broaden the lens to emphasize the idiosyncrasy of conscious and unconscious decisions that researchers make during data analysis. We coordinated 161 researchers in 73 research teams and observed their research decisions ...

Mentoring as a Grassroots Effort for Integrating Refugees – Evidence from a Randomised Field Experiment

About 80 million people were displaced worldwide at the end of 2020. To support this highly vulnerable group, in recent years, local bottom-up initiatives proliferated to support refugee integration in hosting communities. This study examines a network intervention for refugees in collaboration with a social start-up whose mission is to match refugees and local volunteers to form friendships. We apply ...