Issues related to job quality are increasingly taking centre stage in professional and scientific circles because of the stakes involved. The objective of this research is to identify the characteristics of workers that allow them to benefit from aspects of quality of employment. This study uses two models: Ordinary Least Squares (OLS) and ordered probit. Before using these models, the author estimates a bivariate selection probit with experimentation. The dependent variable is constructed using Multiple Correspondence Analysis (MCA) and Hierarchical Ascending Classification (HAC). The results make it possible to determine the profile of individual beneficiaries. The study shows that a worker with university education, who is familiar with the collective agreement of the companies and who has not experienced a long period of unemployment is more likely to benefit from a good level of quality employment than someone else. The data used are from the 2012 Household Employment Survey conducted by the Agency for Employment Studies and Promotion (AGEPE).
