Montorsi, C., FUSCO, A., VAN KERM, P., & BORDAS, S. (November 2023). Predicting depression in old age: Combining life course data with machine learning. Economics and Human Biology, 52, 101331. doi:10.1016/j.ehb.2023.101331 Peer Reviewed verified by ORBi |
FUSCO, A., & VAN KERM, P. (2023). Measuring poverty persistence. In Research Handbook on Measuring Poverty and Deprivation (pp. 192-200). Edward Elgar Publishing. doi:10.4337/9781800883451.00029 Peer reviewed |
MONTORSI, C., FUSCO, A., VAN KERM, P., & BORDAS, S. (03 June 2022). Predicting depression in old age: Combining life course data with machine learning [Paper presentation]. Well-Being conference. |
FUSCO, A., & VAN KERM, P. (2022). Measuring Poverty Persistence. (2022-02). Luxembourg, Unknown/unspecified: Luxembourg Institute of Socio-Economic Research. https://orbilu.uni.lu/handle/10993/50020 |
FUSCO, A., SOHST, R. R., & VAN KERM, P. (2021). Foreign-born households in the income distribution and their contribution to social indicators in European countries. In A.-C. Guio, E. Marlier, ... B. Nolan (Eds.), Improving the understanding of poverty and social exclusion in Europe (pp. 87--102). Luxembourg, Unknown/unspecified: Publications Office of the European Union. Peer reviewed |
FUSCO, A., Gallo, G., & VAN KERM, P. (2021). Rotation group bias in European Union social indicators. In A.-C. Guio, E. Marlier, ... B. Nolan (Eds.), Improving the understanding of poverty and social exclusion in Europe (pp. 295--312). Luxembourg, Unknown/unspecified: Publications Office of the European Union. Peer reviewed |
FUSCO, A., & VAN KERM, P. (2020). BIPOLAR: Stata module to calculate four measures of income bi-polarization. |