Topic Digitalization

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”, ...

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, ...

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 ...

Decentral Electrification, Network Interconnection, and Local Power Markets: An Introduction

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 ...

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 ...

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 ...

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 ...

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 ...

Grenzen und Fortschritte indikatorengestützter Politik am Beispiel der Corona-Pandemie: Heinz-Grohmann-Vorlesung 2020/21

Indikatoren sollen der Steuerung von (sozialen) Prozessen dienen. Sie beschreiben jedoch die Realität in der Regel nur deskriptiv und unvermeidlich mit mehr oder weniger großen und systematischen Messfehlern behaftet. Insofern ist es im Allgemeinen alles andere als einfach mit Hilfe von Indikatoren zu steuern; insbesondere dann, wenn für Problembereiche (fehlerbehaftete) Zielwerte vorgegeben werden, ...