Decomposing Child Poverty Drivers using UKMOD and EUROMOD: A Comparative Analysis of the UK and selected European countries

This study investigates the drivers behind the divergent trends in child poverty between the UK and five European counterparts—Finland, Hungary, Ireland, Poland, and Spain—from 2011 to 2024. These countries were selected to represent a diverse spectrum of trajectories: Finland and Spain serve as references for persistently low and high rates, respectively, while Poland reports a significant reduction over the analysed period of time. The analysis further incorporates Hungary, which follows the UK’s experience of rising child poverty, and Ireland, which offers a divergent path despite sharing initial similarities with the UK. The analysis decomposes these trajectories into three core determinants: demographic differences, labour market dynamics, and tax-benefit systems. To capture differences due to demographic characteristics, we employ a coarsened exact matching and reweighting technique to generate synthetic populations. Differences in labour market dynamics are captured using four-stage statistical models (estimating the probability of employment, the probability of unemployment, hourly wages, and hours worked) based on counterfactual projections for employment and earnings in the UK that reflect labour market conditions in the comparator countries. Finally, the contribution of the tax-benefit system is isolated through a difference-in-differences (DiD) approach, comparing child poverty rates computed on original versus disposable incomes. This is facilitated by utilizing the static microsimulation models UKMOD and EUROMOD that allows to compute disposable incomes. By quantifying these components, we determine the extent to which demographic characteristics, labour market dynamics, or tax-benefit systems have driven the UK’s relative child poverty trends.