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Open Access
June 16, 2022
Abstract
The German DeZIM.panel is an online access panel that provides data specifically for topics regarding migration and integration. It includes an oversampling for several migrant groups in Germany, and thus allows specific subgroup analyses. Due to its longitudinal structure, its long-term development and the effects of sudden external events can be traced and analyzed.
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Open Access
June 16, 2022
Abstract
In the monthly ifo Business Survey, around 9000 companies answer questions about their current business situation, expectations, and plans for the near future as well as on other business variables. Beyond the regular questions, ifo has also the possibility to include supplementary questions into the survey. These questions may be prompted by the intention to obtain an ad hoc picture of the effects of certain developments in economic policy on the companies and their reactions to them (e.g. the Covid-19 pandemic or the war in Ukraine). Another reason is the collection of data for research projects. This article gives an overview of all supplementary questions since 2009 through May 2022. It intends to show examples of the use of the obtained data and can be used as a guide for future research projects. Researchers can work with the firm-level microdata of supplementary and regular survey questions at the LMU-ifo Economics & Business Data Center.
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Publicly Available
March 25, 2022
Abstract
This article aims to give background information of the combined business tax statistics 2016 of the Federal Statistical Office of Germany. The micro data set includes the different German business tax statistics, which are linked together (i.e. trade tax statistics, corporate income tax statistics, turnover tax statistics, statistics on business partnerships and associations as well as additional information of the statistical business register). With more than three million businesses the micro data set provides linked information on the German business structure and is available in anonymised form for scientific use at the Research Data Centre of the Federal Statistical Office.
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Publicly Available
January 10, 2022
Abstract
We present and analyze the dataset on the international distribution of industrial robots by country, industry, and application provided by the International Federation of Robotics (IFR) since 1993. After describing the IFR we point out specificities and limitations of its dataset. We explain the process of data collection, develop a correspondence table between the IFR industry classification and the ISIC rev. 4 industry classification, and clarify the applied compliance rules. We further compute average implicit depreciation rates inherent to the robot stocks in the IFR dataset in the range of 4–7% per year between 1993 and 2019. We also find that the share of industrial robots that are not classified to any industry or application has sharply declined since 2005.
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Open Access
December 24, 2021
Abstract
Public debates and current research on “digitalization” suggest that digital technologies could profoundly transform the world of work. While broad claims are common in these debates, empirical evidence remains scarce. This calls for reliable data for empirical research and evidence-based policymaking. We implemented a data module in the Socio-Economic Panel to gather information on digitalization in three domains: artificial intelligence (AI), platform work, and digitalized workplace. This paper describes the existing approaches to measure technological exposure, the challenges in operationalization of digital transformation in a household survey, the implemented questionnaire items, and the research potential of this new data.
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Publicly Available
November 18, 2021
Abstract
A large majority of citizens supports the German transition toward clean energy production (Energiewende). Yet, the Energiewende involves a large suite of aspects that determine the support. The social sustainability barometer provides a comprehensive data base on a large variety of questions related to the Energiewende that was collected in three survey waves spanning from 2017 to 2019 among more than 6000 household heads.
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Publicly Available
October 11, 2021
Abstract
I introduce a new dataset for research on institutional and individual blockholders in US-listed firms. As of June 2021, the dataset contains 758,666 parsed Form 13D and 13G filings from November 1993 to May 2021, sourced from SEC EDGAR. Due to the semi-structured nature of these filings, a comparable dataset was not available for research before.