Recent Advances in Poverty and Inequality Research

About

The ONLINE Winter School on ‘Recent advances in poverty and inequality research’, organised by the Luxembourg Institute of Socio-Economic Research (LISER), aims at advancing knowledge and expertise of early career researchers and PhD students in some of the most recent developments in the field of poverty and inequality research. In particular, it will provide lectures making use of state-of-the-art methodologies such as machine learning, distributional national accounts or survey experiments.

Course leader

LISER

Target group

The InGRID-2 event is suitable for early-stage researchers and PhD students.

Requirements for attending the Winter School are:
- research interest in the topics of poverty and inequality (or related areas);
- knowledge of and interest in quantitative analysis;
- familiarity with statistical software such as R or Stata is desirable but not essential.

The Winter School will include short presentations by participants.

Course aim

Instructors will present their research in a public seminar format and will then thoroughly discuss details of implementation (concept/data/methods) in a masterclass open only to Winter School participants. Confirmed lectures include:

Distributional National Accounts: An assessment of methods and estimates from WID.world –Instructor: Facundo Alvaredo (Paris School of Economics, INET and IIEP-UBA-CONICET);
Machine learning and inequality research – Instructor: Paolo Brunori (University of Firenze and University of Bari);
Understanding preferences for redistribution – experimental designs - Instructor: Johanna Mollerstrom (George Mason University).