title: [Life expectancy, strenuous work and pension system's fairness. First evidence from the Work Histories Italian Panel].
abstract: OBJECTIVE
  the study aims to estimate the differentials in life expectancy by income and work history in Italy during the 2000's, in order to evaluate the level of actuarial equity of the recent Italian retirement reform in computing benefits proportional to the contributions paid.
  
  
  METHODS
  retrospective cohort study.
  
  
  METHODS
  mortality follow up of a 1% sample of the Italian workforce employed or self employed in the private sector, retired between 1985 and 2003 (about 63,000 people), whose work history and income since 1985 is registered in the National Institute for Social Insurance (INPS) data base.
  
  
  METHODS
  mortality differentials computed through Cox model.
  
  
  RESULTS
  social inequalities in survival in favour of the more advantaged categories of income and occupational classes are observed.
  
  
  CONCLUSIONS
  the principle of actuarial equity assumes that life expectancy varies only according to age and birth cohort; nevertheless inequalities in life expectancy exist also along other dimensions, like income and occupational class: this means that the system is producing an opposite redistribution, from the careers more socially disadvantaged to the less disadvantaged ones.
authors.affiliation: Dipartimento di Economia S. Cognetti de Martiis, Università di Torino, Turin. roberto.leombruni@unito.it
authors.forename: Roberto
authors.initials: R
authors.lastname: Leombruni
authors.forename: Matteo
authors.initials: M
authors.lastname: Richiardi
authors.forename: Moreno
authors.initials: M
authors.lastname: Demaria
authors.forename: Giuseppe
authors.initials: G
authors.lastname: Costa
mesh_terms: D000368:Aged; D000369:Aged, 80 and over; D015331:Cohort Studies; D005260:Female; D006801:Humans; D007558:Italy; D008017:Life Expectancy; D008297:Male; D008875:Middle Aged; D010415:Pensions / Q000706:statistics & numerical data*; D012189:Retrospective Studies; D012935:Social Justice / Q000706:statistics & numerical data*; D016526:Workload / Q000706:statistics & numerical data*