Abstract
This contribution is part of an international comparative initiative with the aim to assess the analytical power of the Intermediate Data Structure (IDS) in a study of possible intergenerational transmissions of death in infancy. An evaluation of the data in applied research will be useful for further development of the IDS structure and for its future use in comparative research. An additional methodological aim for this part of the study is to evaluate and compare different models for statistical analysis of intergenerational transfers. The analysis is based on a cohort of mothers born 1826-1854, whose experiences of infant mortality are compared to the ones of the previous generation, the grandmothers. Data are collected from Swedish parish records, available in the database POPUM at the Demographic Data Base in Umeå. The analysis shows a clear association between infant mortality among mothers and grandmothers. The probability of an infant death for a woman is increased if her mother also had experienced an infant death. Having tested for different approaches of analysis, we found that simple models with few restrictive assumptions gave similar results as more complicated models. Since it is easy to feel confident in the models with the weakest assumptions, we argue that such models are preferred for this type of analysis.
Highlights
This article has a threefold aim, including one demographic query and two methodological issues
The second aim is to assess the power of the Intermediate Data Structure (IDS) database on data from DDB (Demographic Data Base, Umeå University) for demographic analysis
The study we present here is the contribution concerning northern Sweden to the comparative project described by Quaranta (2018b), where intergenerational transfers of infant mortality on the maternal side are analysed in different contexts (Donrovich, Puschmann, & Matthijs, 2018; Quaranta, 2018a; Sommerseth, 2018; Van Dijk & Mandemakers, 2018), but with similar methods
Summary
This article has a threefold aim, including one demographic query and two methodological issues. The first and main purpose is to apply the Intermediate Data Structure (Alter & Mandemakers, 2014) and statistical modelling to a demographic study of the possible intergenerational transmission of death in infancy. The second (and first methodological) aim is to assess the power of the IDS database on data from DDB (Demographic Data Base, Umeå University) for demographic analysis. An evaluation of the data in applied research will be useful for further development of the IDS structure and for its future use in comparative research. These two aims are common for all contributions in the present volume. We evaluate and compare different models for statistical analysis of intergenerational transfers. In particular we argue in favour of using of what we call simple and sound models
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