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Journal Title
Wesis - technical papers
ISSN
2700-0389
SFB 1342 Technical Paper Series
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Item type:Publication, “WeSISdadia” – A Formalized Work-Flow for Uploading and Documenting Data for WeSIS and its Implementation as an R Package(2021-05); The technical paper introduces the R package "WeSISdadia" and the associated formalized semi-automatic workflow for processing and formatting data for the Collaborative Research Centre 1342's Global Welfare State Information System (WeSIS). As a background, the paper details the general WeSIS data upload process, including data specifications and data documentation on WeSISpedia. It lays out three components of the WeSISdadia work flow: a) crafting a so-called "lookup file" table with information for data formatting and documentation; b) the functions of the WeSISdadia R package; and c) using both tools for data documentation in WeSISpedia. In summary, compared to an unformalized manual procedure, the proposed workflow and tools substantially improve many aspects of pre-processing data for WeSIS, creating efficiency and maintainability while using synergies.ReportBand:9263 187 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Measuring global competition in export markets and export sectors(2021-03); ; ; In policy diffusion research, trade is linked to competition as a diffusion mechanism and theoretically discussed within the framework of the efficiency or compensation hypothesis. In this Technical Paper, we present two novel datasets that capture economic competition for 164 countries from 1962 - 2018 in a more differentiated way than before. Our new indicator "global economic competition on export-markets" directly measures the similarity of two countries A and B in terms of the distribution of their exports among the respective export partners. If the trade volumes of A and B are similarly distributed among the sales markets, then there is a high degree of competition. The new indicator “global economic competition in exports-sectors” disentangles the competition argument by differentiating exports by product groups. Two countries A and B might have similar countries as their preferred trading partners, but enter the markets there with completely different products. In such a case, one would hardly treat them as “competitors”. Therefore, we analyze the sectorally subdivided export data on the SITC 1-digit-level, distinguishing 10 product groups to measure the similarity of two countries A and B.ReportBand:8330 208 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, OCR Report(2021-02); Many social science researchers face the challenge of dealing with textual data that is only available on actual paper or ill-scanned PDF files, and require knowledge of image processing techniques and optical character recognition (OCR) software to obtain satisfactory results to enable further automated text post-processing. Based on sample scans of researches at the Collaborative Research Center “Global Dynamics of Social Policy” (SFB 1342), we compare the results of several open-source and commercial tools available for OCR. We evaluate each tool’s performance across three tasks, namely extracting plain text, recognizing the text style and its structure (hOCR), and extracting tables focusing not only the ability to accurately retrieve data from each cell but also the ability to properly capture the table layout. In this report, we summarize our findings and give recommendations for consideration when planning OCR projects.ReportBand:7340 278 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Development of Historical Enrolment Trends(2021-01); This technical paper gives an overview of our new data set on enrolment. most historical enrollment data can be contested, due to measurements, operations, and data quality. this dataset unites these different perspectives to provide researchers with the most plausible scenario of the development of recorded enrollment trends. The data set unites multiple sources on enrolment and therefore provides a trend line, describing how enrolment most likely evolved without claiming historical accuracy of a single data point. The significance of this contribution lies not in its historical representativeness but the comprehensiveness of this dataset. It includes 219 countries and provides data from 1820 to 2018. Overall, this dataset provides a good measurement for enrolment trends over a large country sample for a long period.ReportBand:6178 127 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Cultural Spheres – Creating a dyadic dataset of cultural proximity(2020-12); ; This technical paper gives an overview of our new data set on cultural spheres. With this data set, we introduce an innovative way of describing cultural configurations from a relational perspective. We apply valued two-mode social network analysis to define cultural similarities. The data set consists of variables of cultural characteristics like dominant religion(s), dominant language, colonial history, gender relations, civil freedom, etc. With this indicator, we create time-dependent networks of overlapping cultural spheres, from 1789 until 2010. This approach enables researchers to overcome the definition of distinct categories of culture and allows the inclusion of an overlapping, dynamic network, linking countries together based on similarities. Furthermore, it offers a tool that is adaptable to different research questions.ReportBand:5273 280 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Global Work-Injury Policy Database (GWIP): Project Overview and Codebook(2020-09); The Global Work-Injury Policy Database (GWIP) provides data on the introduction and development of work-injury policy in 186 independent nation states. Work-injury policies were historically known as “workmen’s compensation”, "workman's compensation" and sometimes “accident insurance” among policymakers and scholars. The data include year of introduction of first laws, the types of laws, coverage of blue-collar workers and steps on the path to social insurance laws.ReportBand:4181 158 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Health and long-term care system introduction and reform – concepts and operationalisations for global and historical comparative research(2020-08-01); This paper presents a review of the existing health care, long-term care, health care systems and long-term systems definitions. It also provides guideline for operationalise health and long-term care systems introductions and reforms.ReportBand:3372 278 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Coding Legal Segmentation in Employment Law. The Worlds of Labour (WoL) Dataset(2025-06); This Technical Report on the Worlds of Labour Dataset (WoL) outlines the operationalisation of data collection and coding of employment law. The Wol covers 35 indicators measuring the evolution of particular normative regulations, seven indicators measuring and defining labour law types and functions, and one that dates back to the adoption of the first labour legislation. The historical period spans from 1880 to 2022, with a focus on countries in the Global South and colonial powers. The rest of the world is covered between 1970 and 2022, or from 1991 to 2022 for former communist countries. The focus is on the three major functions of labour law: standard setting, privileging, and equalising (SPE), with partial use of the leximetric labour law database CBR-LRI (Deakin et al. 2023a). The first part of this report describes general rules for coding the law. These Coding Instructions describe the coding objectives, principles and rules used for coding the Worlds of Labour (WoL) SPE-Index on the standard-setting (S), privileging (P) and equalizing (E) functions in worldwide national labour legislation. The second part, the Description of Indicators, contain the two template versions used, including coding instructions by variable for both WoL-SPE and CBR-LRI variables. The third part lists technical information on the countries covered by WoL, including sources for the introduction of labour regulation. This technical paper is complementary to the conceptional and theoretical articles concerning the database (Dingeldey et al. 2022; Carlino et al. 2025) and the theoretical background on legal segmentation (Mückenberger and Dingeldey 2022; Fechner et al. 2025). The commented dataset country by country as described here is published in GESIS as „WoL – The Worlds of Labour Dataset“ (Fechner and Carlino 2025).BookBand:2257 114 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Codebook of Historical Database on Maternity Leave (HDML)The Historical Database on Maternity Leave (HDML) provides data on paid maternity leave policies in 164 independent nation states with a population of more than 500,000 during the period from 1883 until 2018. The original purpose of this dataset is to examine whether international standards of ILO Maternity Protection conventions influence the historical development of maternity policy in nation states. Since the standards of ILO Maternity Protection conventions are composed of the amount of benefit, duration of benefit, legal coverage, and financing, this database contains domestic standards for these four variables. In addition the HDML also provide information about conditionalities of maternity benefits and form of benefits.ReportBand:2327 274 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Codebook of the Global Dataset of Child Benefits(2025-06); ; ; ; This codebook is an updated and extended version of the previously published Codebook of the Historical Dataset of Child Benefit (HDCB) from 2021 (Tonelli et al. 2021). The current version extends coverage of countries and includes more detailed information. Users are strongly encouraged to refer to this updated codebook when working with the data to ensure they are using the most accurate and comprehensive information available. The Global Dataset of Child Benefits (GDCB) constitutes the most comprehensive and systematic longitudinal compilation of child benefit policies worldwide, spanning from 1926 to 2021. Developed within the framework of the Global Welfare State Information System (WeSIS), this dataset includes institutional and legal coverage data, as well as data on the scope of benefits across 120 countries, including both statutory entitlements and nationally administered cash transfer programs which have not been enacted into legal frameworks. Through an extensive data collection process, the GDCB captures the global diffusion, evolution, and institutional diversity of child benefit schemes. It distinguishes between employment-based and citizenship- or residency-based benefits and systematically documents targeting mechanisms and conditionalities. Particular attention is devoted to capturing the extension of child-related transfers in the Global South, integrating measures of effective coverage, poverty-targeted interventions and behavioral conditionalities. The dataset harmonizes national administrative data, legal texts, and international sources, offering standardized, cross-nationally comparable indicators. It thus provides a critical empirical foundation for scholarly inquiry into the historical development of welfare state institutions, the stratification of social protection regimes, and the pathways to universalism in family policy.BookBand:19281 157