This two day workshop offers a well-grounded and practically oriented introduction into this sophisticated data source. Participants will be introduced to the content of the study, its data-structure, sample selection and weighting strategy and they will be provided with an overview over the study documentation. Additionally we will discuss the specific potentials for longitudinal data analyses
The Federal Agency for Cartography and Geodesy (BKG) provides 3D-Building models for Germany. The data come in a City-GML (geographical markup language) format, locating every building throughout Germany and providing information such as its ground plan, height, and the building’s purpose. I will provide an overview on the data, its coverage and limitations, as they are available for
Sind Daten das neue Gold? Man hat den Eindruck, dass wir alle technischen Finessen ausloten, um an das wertvolle Gut heranzukommen. Was auch immer mit dem Begriff „Daten“ assoziiert wird, scheint diesem Vorhaben Glanz zu verleihen. Entscheidungen, Politik, Management und vieles mehr sollten jetzt „datengesteuert“ sein. Big Data, Machine Learning, Algorithmen und kü
BAMS is a joint seminar by the DIW Berlin, the Hertie School of Governance, the HU Berlin and the WZB.
This paper studies self-control in a nationally representative sample. Using the wellestablished Tangney scale to measure trait self-control, we find that people’s age as well as the political and economic institutions they are exposed to have an economically meaningful impact on their level of self-control. A higher degree of self-control is, in turn, associated
We present an approach for studying three quality issues related to survey data, namely the detection of interviewer misbehaviour, the correct implementation of the questionnaire programming and possible redundant paths, which lead to case numbers hindering feasible statistical analysis. The idea is using a theoretical graph model for describing all possible paths through
How do the structure and relational features of family networks affect refugees’ mental health after migration, particularly when refugees are geographically separated from their family? Using the first wave of the IAB-BAMF-SOEP Survey of Refugees, which is representative of the population of refugees who arrived in Germany between 2013 and 2016, this study finds that the size of the nuclear
Multivariate Adaptive Regression Spline (MARS) is a simple and powerful non-parametric technique that automatizes the selection of non-linear terms in regression models. Non-linearities and spatial effects are natural characteristics in numerous spatial hedonic pricing models. In this paper, we propose using the MARS data-driven methodology combined with the Instrumental Variables method in order
Industrial demand response can play an important part in balancing the intermittent production from a growing share of renewable energies in electricity markets. This paper analyses the role of aggregators – intermediaries between participants and the electricity market – in facilitating industrial demand response. Based on the results from semi-structured interviews with German demand response
Adding to the rich literature on the economic integration of refugees, this article extends the scope towards the role of institutions by focusing on the transfer of human capital by means of credential recognition. The 2012 Federal Act of Recognition in Germany is a new institution that provides the possibility to study the transfer of human capital in depth. I argue that analysing the decision
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