[Situations regarding the labour market for people suffering from chronic diseases].
BACKGROUND
This paper is aimed at investigating the extents to which illness modifies labour supply and employment conditions of people with chronic diseases (defined as severe diseases giving rise to 100% coverage of health expenditures by the Sickness Fund).


METHODS
It is based on the data of 35073 individuals interviewed in the 2002-2003 French Decennial Health Survey, reporting their health, health care consumption and socioeconomic characteristics, and collected by the French National Institute of Statistics and Economic Studies. Models have been estimated with logistic strategies.


RESULTS
Participation in labour market appears, all other things being equal, to be less important for people with chronic diseases. Chronic diseases are more deleterious for blue collar than for white collars workers. The probability to have a part-time job is raised by 60% for people with chronic diseases (100% for men, 50% for women). Suffering from chronic diseases raises the probability to have a desired part-time job rather than a full-time job by 80% (170% for men, 60% for women) and the probability to have an undesired part-time job rather than a full-time job by 50% (30% for men, 50% for women). For the elderly (50-65 years), chronic diseases multiply by three the probability to be out-of-work (and not retired), by two the probability to be retired and by 1.5 the probability to be unemployed compared to being employed.


CONCLUSIONS
The consequences of chronic diseases on the workplace are not negligible, creating new social inequalities that the French social protection system does not seem to be able to completely cover.
Saliba
B
B
Institut national de la santé et de la recherche médicale, UMR 379, Marseille, France.
Paraponaris
A
A
Ventelou
B
B
D000328:Adult; D000367:Age Factors; D000368:Aged; D002908:Chronic Disease; D004493:Education; D004651:Employment; D005260:Female; D005602:France; D006304:Health Status; D006306:Health Surveys; D006801:Humans; D007407:Interviews as Topic; D008297:Male; D008875:Middle Aged; D009790:Occupations; D011336:Probability; D012044:Regression Analysis; D012737:Sex Factors; D012959:Socioeconomic Factors; D014478:Unemployment