We use survey micro-data for 31 European countries, and estimate the life-cycle profiles of worker transition probabilities across employment, unemployment and nonparticipation. The estimated transition probabilities are then used to explain aggregate difference in employment rates between Lithuania and Europe. We show that the separations from employment is a key in understanding differences in labor market outcomes of both genders, and that demographics play a large negative role for Lithuanian employment rates. The results have important implications for economic policies that are discussed at the end of the analysis.
The views expressed are those of the author(s) and do not necessarily represent those of the Bank of Lithuania.