Research seminar "Making Gini Conditional: a regression-based tool for understanding inequality" by Dr. Chris Ahlin

2018-08-22 09:40:55

announcemet Chris Ahlin

Dear students, faculty and staff,
Nazarbayev University Graduate School of Business & the Department of Economics invites you to Research Seminar
“Making Gini Conditional: A Regression-Based Tool for Understanding Inequality”” by Chris Ahlin, Associate Professor of Economics at the Michigan State University
WHEN: Friday, August 24, 12:30 – 1:30pm
WHERE: Block C3 (GSB/GSPP Building), 3rd floor, Room 3038
ABSTRACT: The Gini measure of inequality can be defined as the ratio of means. By extension, we define the conditional Gini as the ratio of conditional means. This conditional Gini shows how inequality varies with population characteristics, both levels and differences; the ability to trace inequality as differences in observables change is novel. The approach is illustrated in a simple analytical example, and compared to other related techniques. We discuss a regression-based method for estimating the conditional Gini, and a method for inference using recent techniques for clustered data. The conditional Gini is estimated using a large, nationally representative household survey from Thailand. We find that wealth differences are associated with significantly less income inequality among households that use the financial sector than among those that do not, consistent with the idea that financial access relaxes self-financing constraints and broadens economic opportunity. (Please see paper attached)
SPEAKER: more information on