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Webinar on poverty mapping using small area estimation techniques

1 July 2021|Event

As many countries have turned their attention to the estimation of poverty at the subnational level, this webinar aims to discuss practical aspects of poverty mapping.

This virtual meeting is jointly organized by ECLAC Statistics Division and the Intersecretariat Working Group on Household Surveys

» Poverty mapping using small area estimation techniques - Concept note

Background

Implementing the Sustainable Development Goals (SDG) requires addressing the challenge of “leaving no one behind” and overcoming inequalities. The adoption of public policies at the subnational level requires integrating data from different sources to obtain proper estimates for geographical areas within countries. SDG indicator 1.1.1 seeks to estimate the proportion of the population below the international poverty line, disaggregated by sex, age group, employment status, and geographical location.

Moreover, the COVID-19 pandemic and the measures taken to contain it and prevent its further spread are causing an enormous effect on the economy and the living conditions of the population. As ECLAC has reported, Latin America and the Caribbean are being severely affected as the number of people living in poverty grew from 187 million in 2019 to 209 million in 2020, representing 33.7% of the Latin American population. ECLAC also projected greater inequality in the distribution of income in all the region countries, with an average increase of the Gini index around  3% in a single year.

The growing need for disaggregated statistics for specific geographic areas and small groups of the population can be adequately fulfilled by Small Area Estimation (SAE) procedures, which allows achieving accuracy beyond the limits of the survey sample approach. Many countries have begun to use SAE techniques in order to provide official poverty statistics. The World Bank, the UN Regional Commissions, and the Inter-Secretariat Working Group on Household Surveys have established capacity-building projects to support countries in estimating poverty indicators at the subnational level.

Objectives and outcomes

As many countries have turned their attention to the estimation of poverty at the subnational level, this webinar aims to discuss practical aspects of poverty mapping.

The webinar will also present some experiences by countries on developing methodologies concerning the production of disaggregated statistics using SAE techniques; and on transforming SAE from experiment to official data production.

Target audience

The webinar will bring together statisticians and social researchers from the National Statistical Offices (NSOs) and other parts of the National Statistical Systems (NSSs) to strengthen their capacity to estimate SDG indicators at the subnational level, with a particular focus on poverty indicators.

 

1 Jul 2021

  • 10:00 to 12:30

         » Moderator: Xavier Mancero, Statistics Division of ECLAC

    Webinar on poverty mapping using small area estimation techniques

    • Rolando Ocampo, Director de la División de Estadística de la CEPAL y Francesca Perucci, División de Estadística de las Naciones Unidas
      Rolando Ocampo, Director of the Statistics Division of ECLAC & Francesca Perucci, UN Statistics Division
      Palabras de bienvenida / Welcome remarks
      Yongyi Min, Chief, Global SDG Monitoring Section, UNSD & Haoyi Chen, Coordinator, Inter-Secretariat Working Group on Household Surveys
      Presentation of the Toolkit for SAE
      Andrés Gutierrez, División de Estadísticas de la CEPAL / Statistics Division of ECLAC
      El enfoque de CEPAL en el mapeo de la pobreza / ECLAC approach to poverty mapping
      Carolina Franco, US Census Bureau
      SAIPE: Poverty Mapping in the United States
      Natalia Arteaga Gutiérrez, Departamento de Prosperidad Social de Colombia / Department of Social Prosperity of Colombia
      COLOMBIA 2018-2019: Mapeo de pobreza / Poverty mapping
      Leesha Delatie-Budair, Instituto de Estadística de Jamaica / Statistical Institute of Jamaica
      Poverty Mapping using Small Area Estimation Techniques. The Jamaican Experience
      Paul Corral, Banco Mundial / World Bank
      Mapping poverty. Small Area Estimation at the World Bank. Poverty and Equity Global Practice
      Partha Lahiri, Director y profesor, Programa Conjunto de Metodología de Encuestas, Universidad de Maryland / Partha Lahiri, Professor and Director, Joint Program in Survey Methodology University of Maryland
      Discusión: Algunas perspectivas sobre el mapeo de la pobreza / Discussion: Some perspectives on poverty mapping