Estimating post-war socioeconomic inequalities in lifespan in Austria (Vorarlberg) between 1946 and 1981 using newspaper obituary data

Susanne Mayer, Michael Berger, Pekka T Martikainen, Peter Christen, Tanja Corkovic-Mayrhofer, Michael Haider, Moritz Oberndorfer

Accepted for publication in Demographic Research


Description of replicability material according to the journal's guidelines:

Q: Where and how to obtain the data, and under what conditions (license)?
A: https://github.com/MoritzOberndorfer/Historical-lifespan-inequalities-using-obituary-data, no conditions

Q: How many records and which variables were used in the analysis?
A: 10,063 observations; variables used: year, multiple_obituaries, ID, originator, ISCED678, bluewhitecollar, bluewhitecollar2, any_honorary_service, female, age_at_death, obit_size 

Q: A basic meta-description of these variables
A: 
year: year of publication of newspaper
multiple_obituaries: 1=2 or more obituaries for the deceased, 0=1 obituary
ID: x=unique identifier of relevant observation, in case of multiple obituaries the data was combined in this row (default: family as originator)
originator: 1=family, 2=other (e.g. employer)
ISCED678: 1=any academic title categorized as 6, 7 or 8 according to the International Standard Classification of Education, indicating tertiary education, 0=ISCED level 5 or below or no academic title reported
bluewhitecollar: 1=blue collar, 2=white collar (all according to ISCO-88 classification), 0=no occupation (reported)
bluewhitecollar2: 1=blue collar, 2=white collar (all according to ISCO-88 classification), 3=husband's profession reported (for females only), 0=no occupation (reported)
any_honorary_service: 1=any honorary badge or voluntary service, 0=none (reported)
female: 1=female sex based on given first name, 0=male sex based on given first name
age_at_death: lifespan (either calculated, or reported)
obit_size: 1=small obituary size, 2=medium obituary size, 3=large obituary size