Seminar on reconciliation of information sources for the measurement of income distribution
Work area(s)
Event information
Date
12 Oct 2023, 06:00 - 15:00Event type
Address
Santiago
Chile
Inequality is one of the outstanding features of Latin American societies and overcoming it is a key challenge for development. Household surveys, the main source for measuring income inequality, may be affected by the lack of information on households with very high incomes, as well as by possible under-reporting of income. As a result, measures of inequality based exclusively on this source of information may underestimate the magnitude of the phenomenon.
To capture income inequality more fully, it is possible to combine information from household surveys with information from income tax records, especially relevant for higher income earners, and with national accounts, which provide a frame of reference on the total amount of national gross income that is distributed to households.
ECLAC Statistics Division implements the project "Inequality: Innovative approaches for examining inequality through integration of different data sources in Latin America and the Caribbean", with the support of the United Nations Development Account (13th tranche). The project addresses the possible integration of income data from household surveys, tax records and national accounts, to produce estimates of income inequality.
Objectives
- Rolando Ocampo, Director of the Statistics Division of ECLAC
Alvaro Fuentes, CEPAL
Jorrit Zwijnenburg, Directorate for Statistics and Data, OECD
Mark Morgan, World Inequality Lab
Facundo Alvaredo, World Inequality Lab (WIL)
Mariam Alfaro, Banco Central de Costa Rica
Ivette Fernández, Banco Central de Chile
Susana Kidyba, Experta en cuentas nacionales
José Robles Franco, INEI de Perú
Ángel Pineda, INEGI
Ignacio Flores, World InequalityLab (WIL)
María Rosa Cañete & Raymer Díaz, Ministerio de Economía, Planificación y Desarrollo de República Dominicana (MEPYD)
Charles Bee & Jonathan Rothbaum, US Census Bureau
Ana Montoya, DANE de Colombia