False Positives or Hidden Dimensions What can monetary and multidimensional measurement tell us about child poverty?

The 'watch dog' role of the media, the impact of migration processes, health care access for children in developing countries, mitigation of the effects of Global Warming are typical examples of governance issues – issues to be tackled at the base; issues to be solved by creating and implementing effective policy. students to pave the road for innovative policy developments in Europe and the world today. Our master's and PhD programmes train you in analysing, monitoring and evaluating public policy in order to strengthen democratic governance in domestic and international organisations. The School carefully crafts its training activities to give national and international organisations, scholars and professionals the tools needed to harness the strengths of changing organisations and solve today' s challenges, and more importantly, the ones of tomorrow. 3-Abstract-A widely used division between poverty measures is that of monetary versus multidimensional measures. This division is based on conceptual and ideological underpinnings as well as empirical and analytical outcomes. Comparisons of the use and outcomes of these methods have shown that they predominantly provide different pictures of poverty in terms of figures of overall levels of poverty as well as groups of poor individuals. This paper adds value to the longstanding and ongoing debate on poverty measurement by comparing the use of a monetary and multidimensional poverty measurement with a special focus on children and extending the empirical analysis beyond conventional methods. In addition to investigating whether overall poverty outcomes or groups of identified poor children differ when using two different poverty measures, we also investigate the drivers underlying these differences. Findings confirm a considerable degree of misidentification when using monetary and multidimensional poverty measurement. Correlation between monetary and multidimensional child poverty is limited and both poverty measures prove to be inadequate to predict poverty in terms of the other poverty measure. An analysis of the groups of poverty suggest that certain demographic groups of children are captured disproportionately by monetary and multidimensional poverty measures and that there are underlying factors that in-or decrease a child' s probability to belong to a specific poverty group.