Seminar on « The long-run effect of childhood poverty and the mediating role of education »

On Thursday, 10 December 2020, at 13:00, the Luxembourg Statistical Society is proud to welcome  Michela Bia for a seminar on « The long-run effect of childhood poverty and the mediating role of education ».

Ms Michela Bia is secretary of the LSS and she works as researcher at LISER.

The manuscript, co-authored with Luna Bellani, has been published last year on the Journal of the Royal Statistical Society (Statistics in Society) Series A, 2019, vol. 182, n°1, pp. 37-69 .

The seminar will be held online and the link to the presentation wills provided on request.

The study examines the role of education as a causal channel through which growing up poor affects the economic outcomes in adulthood in the European Union. We apply a potential outcomes approach to quantify those effects and we provide a sensitivity analysis on possible unobserved confounders, such as child ability. Our estimates indicate that being poor in childhood significantly decreases the level of income in adulthood and increases the average probability of being poor. Moreover, our results reveal a significant role of education in this intergenerational transmission. These results are particularly relevant for Mediterranean and central and eastern European countries.

Winter School on Mathematical Statistics

In the frame of the « ERA Chair in Mathematical Statistics and Data Science – SanDAL », the University of Luxembourg organises an online Winter School on Mathematical Statistics from 7 to 11 December 2020.

This school is aimed at young researchers (PhD students and early postdocs) and practitioners alike and offers an excellent opportunity to learn about recent and important developments in mathematical statistics directly from leaders in their respective fields

The following three courses will be offered:

Non-parametric Inference under Local Differential Privacy
Cristina Butucea (CREST ENSAE, Université ParisTech)
Principal Component Analysis: some recent results and applications
Karim Lounici (CMAP-Ecole Polytechnique)
Statistical inference of incomplete data models to analyse ecological networks
Stéphane Robin (AgroParisTech/INRA/univ. Paris Saclay & Muséum National d’Histoire Naturelle)

Dates: From 7 to 11 December 2020

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