Declining response rates have made traditional, probability-based sampling methods more resource-intensive and thus more expensive. Studies of population subgroups are particularly vulnerable to this trend, as smaller group sizes as well as other factors often make these groups "hard-to-reach" or "hard-to-survey". In response, researchers have increasingly relied on network...
This paper sheds new light on the role of communication for cartel formation. Using machine learning to evaluate free-form chat communication among firms in a laboratory experiment, we identify typical communication patterns for both explicit cartel formation and indirect attempts to collude tacitly. We document that firms are less likely to communicate explicitly about price fixing and more likely ...
The project will explore the economic and social effects the mitigation policies and information environment that COVID-19 spawned. We will link those policies to data from ongoing household-based panel studies from 10 countries and rich administrative data from an eleventh. We will exploit the substantial intra and inter-country temporal and geographic variation in non-pharmacological...
Die Vermögensungleichheit hat in vielen OECD-Ländern in den letzten Jahrzehnten zugenommen. Intergenerationale Prozesse der Vermögensreproduktion, die bewirken, dass erwachsene Kinder ähnliche Vermögenspositionen wie ihre Eltern zu einem ähnlichen Alter besetzen, sind besonders zentral, um die Entstehung von Ungleichheiten zu verstehen, weil u.a. Vermögen direkt über Generationen hinweg...
emobpy is a Python open-source tool that enables us to generate battery electric vehicle time series. The tool was released in 2020 on Gitlab and PyPI for the first time. A description of the tool was published as an open-access article in Scientific Data. Now we have just passed the 10K downloads!. We want to reach out to everyone who uses emobpy or is...
