We are pleased to announce that on May 27, 2022 DIW Berlin will host the “Macroeconometric Workshop”. The workshop covers presentations of both methodological and applied contributions on the frontier of research in quantitative macroeconomics, with a focus on empirical research. The event is jointly organized by the School of Business & Economics of Freie Universität Berlin...
Am 20. und 21. April 2022 organisieren wir einen zweitägigen Workshop zum Sozio-oekonomischen Panel (SOEP) am DIW Berlin. Neben Vorträgen zu Aufbau, Datenstruktur, Ziehungsdesign und Gewichtungsstrategie bieten hands-on Sessions eine praxisorientierte Annäherung an die Daten und ihre Potentiale. Der Workshop richtet sich an Wissenschaftlerinnen und Wissenschaftler auf allen...
The German Socio-Economic Panel Study is a representative panel study for the German population, collecting data on a broad variety of topics of everyday life, including general wellbeing, household composition, educational aspirations and educational status, income and occupational biographies, leisure time activities, housing, health, political orientation and more. With its long running panel...
Researchers in Germany and abroad are invited to submit proposals for the next round of the SOEP Innovation Sample (SOEP-IS). For those not yet familiar with SOEP-IS, this unique random sample of German households (N = 2,800 households with about 4,000 respondents) offers great potential as a source of household micro-data, particularly for researchers seeking information that is not available in SOEP-Core—for ...
Das SOEP-Team möchte Sie auch in diesem Jahr auf die Möglichkeiten der SOEP-Innovations-Stichprobe (SOEP-IS) hinweisen und Sie ermuntern, dieses Instrument (repräsentative Stichprobe von etwa 2.800 deutschen Haushalte mit etwa 4.000 Interviewten) zu nutzen, um direkt zu Ihrer Forschungsfrage Mikrodaten auf Haushaltsebene erheben zu lassen. Wenn Sie als ForscherIn z.B. Informationen auf ...
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 ...
There are numerous challenges to studying structural inequality in sexual and gender minority (SGM) populations, from the difficulty of obtaining a representative sample to issues comparing data across populations. This data brief illustrates how the largest household panel survey in Germany, the German Socio-Economic Panel (SOEP), and its recent nationwide boost sample of SGM households, Sample Q, ...
Comprehensive numerical models are pivotal to analyze the decarbonization of electricity systems. However, increasing system complexity and limited computational resources impose restrictions to model-based analyses. One way to reduce computational burden is to use a minimum, yet representative, set of system states for model simulation. These states characterize fluctuating renewable generation and ...
This study examines short-, medium-, and long-run price expectations in hous ing markets. We derive and test six hypothesis about the incidence, formation, and relevance of price expectations. To do so, we use data from a tailored household sur vey, past sale offerings, satellites, and from an information RCT. As novel findings, we show that price expectations exhibit mean reversion in the long-run. ...
We investigate whether individuals self-select feedback that allows them to maintain their motivated beliefs. In our lab experiment, subjects can choose the information structure that gives them feedback regarding their rank in the IQ distribution (ego-relevant treatment) or regarding a random number (control). Although beliefs are incentivized, individuals are less likely to select the most informative ...