A dynamic counting approach to measure multidimensional deprivations in jobs

The adjusted headcount ratio from the multidimensional poverty measures has been used in cross-sectional research on the labour market to study the cumulative aspects of multiple job deprivations. This article takes advantage of the decomposition property of this method to develop a dynamic model for examining and understanding the transitions between precarious employment dimensions and index changes from a longitudinal perspective using panel data from Chile. Evidence produced by this method shows multidimensional precarious employment traps in women, while men suffer greater deprivations in the social protection dimension despite economic growth and the overall decrease in the multidimensional deprivation index. Both results would not be evident if only a cross-sectional analysis were used.