Paolo Emilio Cardone, Sapienza Università di Roma and ISFOL
Joan Pau Jorda, Centre d’Estudis Demogràfics (CED), UAB
Chiara Sanna, Università degli Studi di Sassari
Aim of this research project is to seek the influence of how intra social group mobility affected mortality patterns in Sweden, covering the transition from preindustrial to a breakthrough industrial society. According to previous studies, Social Economical Status (SES) does not affect substantially life expectancy of Swedish population in the XIXth century, instead of this, other variables were key factors. However, a new question emerge for us: Could it be possible that other socio-economic factors, such as the intergenerational mobility, may affect positively life expectancy? In order to achieve this goal, a dataset between 1813 and 1910 from the Scanian Economic-Demographic Database (SEDD) is going to be used. The database is based on local population registers for five rural Scanian coast parishes. Analysis is based on three periods according to historical criterion (preindustrial period: 1813-1869; early industrial period: 1870-1894 and the first part of the breakthrough of industrialization: 1895-1910). In our study, intra social mobility is going to be defined as the chances of an individual, between ages 30 and 49, experiences a change of his SES according to SOCPO codification. SOCPO is comprised by 5-category classification scheme. Our main reason for using it is that while it focuses on social power, it is also highly correlated with education and income, as well as is that this classification can be used both for rural and industrial societies. Therefore, a Cox Proportional Hazard model is going to be applied in order to estimate the influence of social mobility, controlling for age and other possible determinant variables. We are going to estimate a model for each SOCPO category. This model includes social mobility status, age, sex, year of birth, parish of residence and position in the household. Thus, we expect to find a significant relationship between social economic mobility and mortality.
Presented in Session 9. Health and mortality in the past