Gender differences in French GPs' activity: the contribution of quantile regressions.
In any fee-for-service system, doctors may be encouraged to increase the number of services (private activity) they provide to receive a higher income. Studying private activity determinants helps to predict doctors' provision of care. In the context of strong feminization and heterogeneity in general practitioners' (GP) behavior, we first aim to measure the effects of the determinants of private activity. Second, we study the evolution of these effects along the private activity distribution. Third, we examine the differences between male and female GPs. From an exhaustive database of French GPs working in private practice in 2008, we performed an ordinary least squares (OLS) regression and quantile regressions (QR) on the GPs' private activity. Among other determinants, we examined the trade-offs within the GPs' household considering his/her marital status, spousal income, and children. While the OLS results showed that female GPs had less private activity than male GPs (-13%), the QR results emphasized a private activity gender gap that increased significantly in the upper tail of the distribution. We also find gender differences in the private activity determinants, including family structure, practice characteristics, and case-mix variables. For instance, having a youngest child under 12 years old had a positive effect on the level of private activity for male GPs and a negative effect for female GPs. The results allow us to understand to what extent the supply of care differs between male and female GPs. In the context of strong feminization, this is essential to consider for organizing and forecasting the GPs' supply of care.
CERMES3, Inserm U988, CNRS, UMR 8211, Villejuif, France, magali.dumontet@inserm.fr.
Magali
M
Dumontet
Carine
C
Franc
D005190:Family; D005260:Female; D005602:France / Q000453:epidemiology; D058005:General Practitioners / Q000706:statistics & numerical data*; D006801:Humans; D007182:Income / Q000706:statistics & numerical data; D008297:Male; D017533:Marital Status / Q000706:statistics & numerical data; D008875:Middle Aged; D011331:Private Practice / Q000706:statistics & numerical data; D012737:Sex Factors; D018454:Spouses / Q000706:statistics & numerical data