Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden

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 furth...

Full description

Bibliographic Details
Main Authors: Göran Broström, Sören Edvinsson, Elisabeth Engberg
Format: Article in Journal/Newspaper
Language:English
Published: International Instititute of Social History 2018
Subjects:
Online Access:https://doaj.org/article/69cf9ac2b211445e957073f1a817e097
id ftdoajarticles:oai:doaj.org/article:69cf9ac2b211445e957073f1a817e097
record_format openpolar
spelling ftdoajarticles:oai:doaj.org/article:69cf9ac2b211445e957073f1a817e097 2023-05-15T17:44:48+02:00 Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden Göran Broström Sören Edvinsson Elisabeth Engberg 2018-03-01T00:00:00Z https://doaj.org/article/69cf9ac2b211445e957073f1a817e097 EN eng International Instititute of Social History https://hlcs.nl/article/view/9282 https://doaj.org/toc/2352-6343 2352-6343 https://doaj.org/article/69cf9ac2b211445e957073f1a817e097 Historical Life Course Studies, Vol 7 (2018) Survival analysis Poisson regression Intermediate Data Structure Historical micro data Fertility Economic theory. Demography HB1-3840 article 2018 ftdoajarticles 2022-12-31T16:20:02Z 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. Article in Journal/Newspaper Northern Sweden Directory of Open Access Journals: DOAJ Articles
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Survival analysis
Poisson regression
Intermediate Data Structure
Historical micro data
Fertility
Economic theory. Demography
HB1-3840
spellingShingle Survival analysis
Poisson regression
Intermediate Data Structure
Historical micro data
Fertility
Economic theory. Demography
HB1-3840
Göran Broström
Sören Edvinsson
Elisabeth Engberg
Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden
topic_facet Survival analysis
Poisson regression
Intermediate Data Structure
Historical micro data
Fertility
Economic theory. Demography
HB1-3840
description 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.
format Article in Journal/Newspaper
author Göran Broström
Sören Edvinsson
Elisabeth Engberg
author_facet Göran Broström
Sören Edvinsson
Elisabeth Engberg
author_sort Göran Broström
title Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden
title_short Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden
title_full Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden
title_fullStr Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden
title_full_unstemmed Intergenerational Transfers of Infant Mortality in 19th-Century Northern Sweden
title_sort intergenerational transfers of infant mortality in 19th-century northern sweden
publisher International Instititute of Social History
publishDate 2018
url https://doaj.org/article/69cf9ac2b211445e957073f1a817e097
genre Northern Sweden
genre_facet Northern Sweden
op_source Historical Life Course Studies, Vol 7 (2018)
op_relation https://hlcs.nl/article/view/9282
https://doaj.org/toc/2352-6343
2352-6343
https://doaj.org/article/69cf9ac2b211445e957073f1a817e097
_version_ 1766147081431416832