This study contributes to the literature on the relationship between subjective wellbeing (SWB), divorce, gender, and lone parenthood. We use the cross sectional Divorce in Flanders Survey (2009), comparing divorced, single parents to married parents, and also to each other across genders. Our results confirm the lower levels of SWB reported by divorced, single parents. This is true across multiple dimensions of SWB, including measures of life satisfaction, emotional wellbeing and vitality. Our results highlight the lower wellbeing reported by divorced, single parents in relation to the residential status of children below the age of 18. This is the case for both mothers and fathers, but fathers with non-residential children below 18 reported lower life satisfaction, whereas for the equivalent mothers, emotional wellbeing was diminished. We find little evidence of gender differences between lone mothers and fathers who report residential children. This suggests that the "intensive motherhood" hypothesis, which predicts that parenting may affect the SWB of mothers more negatively than fathers, may operate differently in the case of single vs. married parents.
The Leuven research team working on historical demography is grateful for their opportunity to have collaboratively and intensively worked with Professor Dr. Kees Mandemakers over an extended period of time. We wish him a wonderful emeritus status, not only in academia, but also in the warm nest of his family, relatives, children, and grandchildren. The three of us have known Kees for some time, but most closely since 2014, when we became formally engaged as project partners under the so-called LONGPOP-project, an EU funded Marie Curie grant, named Methodologies and Data mining techniques for the analysis of Big Data based on Longitudinal Population and Epidemiological Registers. The importance of our close professional relationship is best demonstrated by our work in producing the COR*-IDS 2020 database. The historical demographic dataset for the Antwerp arrondissement, a letter sample COR*-2010, recorded total sample size of +/- 33,000 residents of Antwerp for nearly seven decades and was already available. The LONGPOP project began in Autumn 2016, setting in motion a collaboration between ourselves at KU Leuven and Kees and his colleagues at the IISH. From the outset, we had purposefully worked closely with Kees' team, utilising their premier expertise in database management and the IDS towards the new release of our database, the Antwerp COR*-IDS dataset. Here we set out our recollections of that intellectual process, encompassing the personal and professional reflections of our close working relationship.
The Antwerp COR*-IDS database 2020 is a transformed and harmonized historical demographic database in a cross-nationally comparable format designed to be open and easy to use for international researchers. The database is constructed from the 2010 release of the Antwerp COR*-historical demographic database, which was created using a letter sample of the whole district of Antwerp (Flanders, Belgium). It has a total sample size of +/- 33,000 residents of Antwerp. The sample spans nearly seven decades. The data is collected from historical records: including population registers and vital registration records covering births, marriages, in/external migrations and deaths. The database covers up to three linked generations (in some cases more), and contains micro-data on individual level life courses, and relationships deriving from addressbased household composition methods. An important characteristic is the sample's large migrant population, including the timings of their demographic events and living arrangements, whilst resident in the district of Antwerp. In addition, the sample also contains a large array of occupational level information. This paper presents the processes, methodologies and documentation regarding the evaluation and development of a pre-existing historical database. This includes the systematic evaluation of the original samples, methodologies for address based reconstructing of households, and the geocoding of a historical database which took place during the current development of this new version of the database.
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