2020
DOI: 10.4054/demres.2020.42.26
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Computations of French lifetables by department, 1901–2014

Abstract: Introduction 2 Sources 2.1 Deaths 2.2 Births 2.3 Censuses 3 Methods 3.1 HMD protocol methods 3.1.1 Raw data adjustments 3.1.2 Splitting deaths into Lexis triangles 3.1.3 Computations of populations by age at January 1 of each year 3.1.4 Adjustment of computed mortality rates 3.1.5 Computations of lifetables 3.2 Specific departmental methods for the period 1901-2014 3.2.1 Specific methods due to deaths during the two world wars 3.2.2 Specific methods due to the two world wars 3.2.3 Specific methods due to terri… Show more

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Cited by 11 publications
(9 citation statements)
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“…This would reveal the extent of outward migratory flows, and whether male and female migration followed different trends during World War II. Using the same approach as for female migration, I used the data collected by Bonnet (2020) to calculate male migration balances for each year between 1939 and 1946, and a partial answer to the second question is outlined in Online Appendix 4, which compares female (Panel A) and male (Panel B) migration balances between 1939 and 1940. The two maps are almost identical.…”
Section: Discussionmentioning
confidence: 99%
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“…This would reveal the extent of outward migratory flows, and whether male and female migration followed different trends during World War II. Using the same approach as for female migration, I used the data collected by Bonnet (2020) to calculate male migration balances for each year between 1939 and 1946, and a partial answer to the second question is outlined in Online Appendix 4, which compares female (Panel A) and male (Panel B) migration balances between 1939 and 1940. The two maps are almost identical.…”
Section: Discussionmentioning
confidence: 99%
“…Bonnet ( 2020) and the curators of both the Canadian Human Mortality Database and the Japan Human Mortality Database have used this method to estimate life tables at the local level in France since 1901, in Canada since 1921, and in Japan since 1975. Nevertheless, as revealed by Bonnet (2020), distributing the intercensal migration flow proportionally to the time elapsed since the first census is inappropriate in times of war, when migratory movements are faster and massive. This leads to biased estimates of départemental life expectancies during the Second World War.…”
Section: Computations Of Annual Populations and Net Migration At Local Level: General Frameworkmentioning
confidence: 99%
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“…For illustrative purposes, we present excess mortality measures by losses/gains in life expectancy at age 60 (e 60 ) in 2020 for 95 départements of Metropolitan France, which correspond to the third level of the Nomenclature of Units for Territorial Statistics (NUTS) used by Eurostat. French Human Mortality Database [37] provides annual deaths (D) and population at 1st January by single age at death (with an open age interval 95+), sex, and département for each year between 1970 and 2020. We define exposures (E) as the mean of populations at 1st January for two consecutive years.…”
Section: Data and Applicationsmentioning
confidence: 99%
“…For the statistical analysis, we also use population data by department, sex, and age at January 1. These populations are calculated from age-specific populations in census years and annual vital statistics (age-specific deaths and births) using a methodological protocol close to that of the Human Mortality Database (Bonnet 2020;Barbieri et al 2015). To determine the population on January 1 of years in an intercensal period, we adjust the population at the initial census by both observed deaths and by an estimate of migration flow since the initial census.…”
Section: Datamentioning
confidence: 99%