RWI-GEO-LAB: DIW-IAB-RWI–Neighborhoodpanel Labor Market Data
There is a lack of individual data for analyzing neighborhood effects that contains sufficient information about the direct neighborhood of individuals. At postcode level, this gap is to be closed with the DIW-IAB-RWI Neighborhood Panel for labor market data. Based on the Integrated Employment Biographies (IEB), aggregated data on employees (subject to social security contributions) and unemployed persons were generated. These data are available for the period 2004 to 2010.
This data can be merged to the Socio-Economic Panel (SOEP) and other data sets of the participating research data centers via the household numbers. This will take place in the data security room of the FDZ Ruhr.
Information
Data Description
Bügelmeyer, E., S. Schaffner, N. Schanne und T. Scholz (2015), Das DIW-IAB-RWI–Nachbarschaftspanel. Ein Scientific-Use-File mit lokalen Aggregatdaten und dessen Verknüpfung mit dem deutschen Sozio-ökonomischen Panel. RWI Materialien 97. Essen: RWI. download
Metadata Scheme
RWI-GEO-LAB: DIW-IAB-RWI–Neighborhoodpanel Labor Market Data
DOI: 10.7807/DIWIABRWI:V1
Availability
The use of this weakly anonymized data set is only possible during a research visit at the FDZ Ruhr and in the secure room there. For this purpose, a personal guest scientist contract must be concluded. For information on data access, please follow this link.
RWI-Obesity: Finanical Incentives on Weight Loss
This data set is based on a randomized experiment that examines whether weight loss and weight loss bonuses are an effective tool for combating obesity. The data set contains information on the medical and socioeconomic characteristics of the patients participating in this experiment. The basis of the experiment are overweight patients from four rehabilitation clinics of the German Pension Insurance in Baden-Württemberg. The patients have a body mass index of more than 30 at the end of their hospital stay a personal weight reduction goal, which they should achieve within four months.
The data set comprises three types of data: (1) data from medical questionnaires completed by healthcare professionals in rehabilitation clinics and pharmacies. (2) Data from four different questionnaires on socio-economic background and health, completed by the study participants themselves. (3) Administrative data generated by the authors to identify the study participants and also contain additional information.
Information
Data Description
Eilers, L. und A. Pilny (2018), Data from a Randomized Experiment: Financial Incentives on Weight Loss (RWI-Obesity). Jahrbücher für Nationalökonomie und Statistik 238 (6): 591-600. DOI: 10.1515/jbnst-2017-0138
Metadata Scheme
RWI-Obensity: Financial Incentives on Weight Loss
Availability
The data set is available for scientific purposes as a Scientific Use File (SUF) free of cost. For information on data access, please follow this link.
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