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Disability and Poverty: Uncovering the Empirical Dynamics

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Title: Disability and Poverty: Uncovering the Empirical Dynamics Author: wb250766 Created Date: 11/5/2003 4:55:23 PM Document presentation format – PowerPoint PPT presentation

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Title: Disability and Poverty: Uncovering the Empirical Dynamics


1
Disability and Poverty Uncovering the Empirical
Dynamics
  • HD Learning Week
  • November 10, 2003

2
Why are we here?
  • Gain a better understanding of what is meant by
    disability
  • Explore the relationship between poverty and
    disability
  • Learn about the challenges of doing empirical
    work on disability

3
Todays Program
  • Introduction
  • General overview
  • Epidemiology
  • Relation to poverty
  • Potential utility of LSMS
  • Case studies
  • Mental health in Bosnia
  • Household survey in Indonesia
  • Poverty Mapping in Uganda

4
Who are disabled people?
  • The United Nations census recommendations state a
    person with disability is defined as
  • A person who is limited in the kind or amount of
    activities that he or she can do because of
    ongoing difficulties due to a long-term physical
    condition, mental condition, or health problem
    (United Nations, 1998)
  • There are 400 million disabled people in
    developing countries

5
What causes disability?
  • Malnutrition
  • Poor maternal health
  • Child birth
  • Vehicular crashes
  • Work injuries
  • Conflict
  • Illness e.g., TB, polio, measles, HIV/AIDS,
    diabetes, etc.

6
World Bank and disability What is the link?
  • Successful implementation of the MDGs results in
    the prevention of disability and increased
    productivity for disabled people
  • Two-way causality between disability and poverty
  • Disabled people are disproportionately poor, and
    poor people are disproportionately disabled
  • Doing a good job on poverty alleviation requires
    taking disabled people into account

7
Disability and Poverty Research Concerns
  • The definition of disability is complex
  • Different definitions and different data
    collection methodologies yield different rates
  • Data on disability often not collected, or at
    least not given proper attention

8
Prevalence of Disability in Selected Countries
  • Percent of Population Disabled
  • Bangladesh 0.8
  • Niger 1.3
  • Egypt 4.4
  • Italy 5.0
  • Germany 8.4
  • United States 15.0
  • Australia 18.0

9
International Efforts to Obtain Comparable Data
  • UNSD study on disability data collection
  • DISTAT-II
  • Washington City Group on Disability Measurement

10
Needed Empirical Work on Disability
  • Data on prevalence
  • Relation to poverty, income, health, and
    education
  • Understanding of the dynamics between disability
    and poverty
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