New approaches for non-standard employment statistics using multi-source data. The Dutch and Italian experience

This paper investigates the effect of measurement error on the measurement of temporary employment as well as the transition rates in and out of temporary employment over time in Italy and the Netherlands.We conduct a comparative analysis of Italian and Dutch employment data spanning from 2017 to 2019, linking information from the Labour Force Survey and the Employment Register. For this purpose, we use a multiple-group Hidden Markov Model with two indicators for the employment contract type that accounts for both random and systematic measurement error.