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New Dataset: SOEP-CMI-ADIAB—Linking Administrative Data from the Institute for Employment Research with SOEP Survey Data

The SOEP-CMI-ADIAB dataset (version 7520 v1) is made available by the SOEP and the Institute for Employment Research (IAB). It contains data on SOEP survey respondents linked with respondents’ personal administrative data from the IAB, provided that the SOEP respondents have given their consent and could be identified in the IAB data. The survey data in SOEP-CMI-ADIAB include data from SOEP-Core, the ...

SOEP-IS: Call for Submissions

The SOEP Innovation Sample (SOEP-IS) is designed to enable innovative data collection for the research community. It is particularly well suited to establishing new and target-group-specific measurement instruments in long-term surveys, to conducting short- and long-term experiments, and to collecting non-survey data (such as biomarkers). Researchers who are interested in submitting a proposal for ...

New Dataset: SOEP-CMI-ADIAB—Linking Administrative Data from the Institute for Employment Research with SOEP Survey Data

The SOEP-CMI-ADIAB dataset (version 7520 v1) is made available by the SOEP and the Institute for Employment Research (IAB). It contains data on SOEP survey respondents linked with respondents’ personal administrative data from the IAB, provided that the SOEP respondents have given their consent and could be identified in the IAB data. The survey data in SOEP-CMI-ADIAB include data from SOEP-Core, the ...

Wie kann die Wärmewende für alle gelingen?

Die EU-Richtlinie über die Gesamtenergieeffizienz von Gebäuden (EPBD) etabliert eine neue gesellschaftliche Norm und ein großes politisches Ziel: Bis 2033 sollten alle Wohngebäude einen Mindeststandard an Energieeffizienz erreichen. So sollen Energiekosten und Schocks für Haushalte begrenzt werden und der Energiebedarf reduziert werden, um eine klimaneutrale Energieversorgung für alle zu...

Continuous-Time Heterogeneous-Agent Models: Inequality and Financial Stability

This course aims at giving tools to students for entering the frontier of research regarding two new lines of research: (a) models of wealth-inequality determinants and dynamics, and (b) models of financial stability. The focus will be on presenting general-purpose analytical and computational techniques that enable students to replicate and extend frontier-research papers in these areas. The...

Technological Relatedness and Industrial Transformation: Introduction to the Special Issue

This article introduces eleven research articles that connect concepts of technological relatedness and diffusion with the transformation of industrial and innovation systems. These studies focus on the role of knowledge spillovers, regional variations in innovation and performance, and the evolution of new technologies, such as green and digital technologies. Regional capabilities and ability to diversify ...

Stranded Nations? Transition Risks and Opportunities towards a Clean Economy

The transition away from a fossil-fuel powered economy towards a cleaner production system will create winners and losers in the global trade system. We compile a list of 'brown' traded products whose use is highly likely to decline if the world is to mitigate climate change, and explore which countries are most at risk of seeing their productive capabilities 'stranded'. Using methods from economic ...

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

GC PhD researcher Andreas Leibing performs research stay at Stanford University

GC PhD researcher Andreas Leibing is currently visiting Stanford University for a research stay during the spring quarter hosted and sponsored by Eric Bettinger. Andreas himself is glad about this opportunity, and describes his stay as follows:  "I will stay at Stanford University as a visiting student researcher for the spring quarter and work on my job market paper. I look forward to meeting all ...

Causal Machine Learning

The DIW Graduate Center is pleased to offer a Masterclass on causal machine learning, taught by Michael Knaus. It is designed for all doctoral students and researchers at the DIW who would like to improve their understanding of machine learning and data science more broadly. The Masterclass lasts one day. Please register with the Graduate Center on a first-come, first-served basis: gradcenter@diw...