Böger, Tobias
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Böger, Tobias
Official Name
Böger, Tobias
Alternative Name
Böger, T.
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ORCID
GND
6 results
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Item type:Publication, Codebook of the Global Dataset on Parental Leave (GDParL)The Global Dataset on Parental Leave (GDParL) provides harmonized cross-national data on paid parental leave policies for 153 independent nation-states with populations exceeding 500,000, covering the years 1995, 2013, and 2021. Developed within the framework of the Global Welfare State Information System (WeSIS), the GDParL systematically captures key dimensions of parental leave schemes across three time points, including their existence, duration, benefit level, entitlement types, and financing structures. The dataset includes detailed variables on the duration of paid leave (reported both in original units and standardized weeks), benefit levels (measured in original monetary terms as well as replacement rates), entitlement types (individual vs. family-based), and sources of financing (e.g., taxation, insurance, or employer liability). To ensure consistency and facilitate analytical clarity, the GDParL applies a standardized coding scheme to identify missing values and inapplicable cases. Taken together, these features make the GDParL a comprehensive resource for the comparative analysis of global trends in the design, scope, and coverage of parental leave policies.BookBand:002164 43 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Codebook of Historical Dataset of Child Benefit (HDCB)(2021-07); ; ; ; As part of the Welfare State Information System (WeSIS), the Historical Dataset of Child Benefits (HDCB) provides data on cash transfers and tax allowance programs in support of families with children for 96 countries with a population of more than half a million inhabitants, covering the period between 1926 and 2019. The purpose of this data collection is to enhance the understanding of the global diffusion of child benefits from a historical perspective. The HDCB is a longitudinal dataset containing information on the institutional design of child benefits, from the first introduction of child benefits to the latest development, in all the countries for which it was possible to retrieve reliable data. This codebook provides the HDCB users with information regarding the content of the dataset and the data collection process. All the data included in version 1.0 of the HDCB refer to information contained in national legislative texts, thus, they describe countries’ institutional settings and not de facto situations. The HDCB was compiled in the context of the project “Formation and Diffusion of Family Policy in a Global Perspective” of the Collaborative Research Centre 1342 (CRC 1342) at the University of Bremen. This project is funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – Project number 374666841 – SFB 1342 from 2018 until 2021. If funding is extended, the dataset will be expanded regarding the generosity and effective coverage of the programs during the second (2022-2025) and third (2026-2029) phases of the CRC 1342.ReportBand:11484 190 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Codebook of the Historical Database on Maternity Leave (HDML) (2nd updated and extended edition)(2025-12); ; ; ; The Historical Dataset on Maternity Leave (HDML) provides harmonized, cross-national data on paid maternity leave policies across 153 independent nation-states with populations exceeding 500,000, covering the period from 1883 to 2020. Developed as part of the Global Welfare State Information System (WeSIS), the HDML captures comprehensive policy information on the existence, duration, benefit levels, eligibility criteria, coverage, and financing mechanisms of maternity leave programs over time. The dataset is particularly designed to enable historical and comparative analyses of maternity protection standards in light of the International Labour Organization’s Maternity Protection Conventions. Each observation corresponds to a country-year and includes both standardized and original-format variables. A consistent coding system for missing or inapplicable values ensures analytical transparency. This unique longitudinal resource facilitates research into the global development and diffusion of paid maternity leave policies.BookBand:002080 28 - 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 155 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Codebook of the Global Dataset on Paternity Leave (GDPatL)The Global Dataset on Paternity Leave (GDPatL) constitutes the first comprehensive and systematically compiled global dataset on paternity leave. It offers harmonised, cross-national information on paid and unpaid entitlements across 122 independent nation-states with populations exceeding 500,000, spanning the period 1946–2021. Developed within the Global Welfare State Information System (WeSIS), the GDPatL provides historically grounded and analytically precise data on the design of paternity leave schemes, including policy existence, duration, benefit generosity (such as wage-replacement rates and the application of benefit ceilings), eligibility criteria covering diverse worker groups (including the self-employed, adoptive parents and same-sex partners), and underlying financing arrangements. The dataset is designed to facilitate rigorous comparative and longitudinal analyses of how paternity protection has evolved in response to shifting gender norms, changing family structures, and labour-market transformations. Each observation corresponds to a country-year and includes both standardized and original-format variables. A consistent coding system for missing or inapplicable values ensures analytical transparency. As a unique longitudinal resource, the GDPatL enables scholars to investigate the emergence, diffusion and institutionalisation of paternity leave worldwide, thereby enriching the empirical foundations of research on fatherhood, care regimes and the pursuit of gender-equal social protection.BookBand:0023108 50 - 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 272