Poisson regression with incomplete observations, application on the number of jobs in active working life

Ivana Malá, Prague University of Economics and Business

Co-authors: Adam Čabla, Prague University of Economics and Business

Abstract: The number of jobs (as well as the number of careers) in the individual working history is an important feature of people’s labor market behavior, reflecting the economic situation and the attitudes of the population. This feature is changing rapidly over time and generations with a significant increase in the number of jobs. We follow the over-50 silver generation; there are changes of jobs after the age of 50 and even after retiring, but these no longer reflect the building of a career, but rather the preparation for the end of it. In the paper, the work history of a generation of European Union residents up to the year of birth 1967 (age of 50 in 2017) is analyzed using data from the Job Episodes Panel based on the SHARE survey. The number of jobs until the end of the active work period and the number of job changes from age 50 to retirement are modeled using Poisson regression with incomplete observations.