Quantifying Vulnerability to Poverty: A Proposed Measure, Applied to Indonesia
By L. Pritchett. 2000
325 citations recorded by the source corpus.
Vulnerability is an important aspect of households'experience of poverty. Many households, while not currently in poverty, recognize that they are vulnerable to events - a bad harvest, a lost job, an illness, and unexpected expense, an economic downturn - that could easily push them into poverty. Most operational measures define poverty as some function of the shortfall of current income, or consumption expenditures from a poverty line, and hence measure poverty only at a single point in time. The authors propose a simple expansion of those measures to quantify vulnerability to poverty. They define vulnerability as a probability, the risk that a household will experience at least one episode of poverty in the near future. A household is defined as vulnerable if it has 50-50 odds, or worse of falling into poverty. Using those definitions, they calculate the"vulnerability of poverty line"(VPL) as the level of expenditures below which a household is vulnerable to poverty. The VPL allows the calculation of a"headcount vulnerability rate"(the proportion of households vulnerable to poverty), a direct analogue of the"headcount poverty rate". The authors implement this approach using two sets of panel data from Indonesia. First they show that if the poverty line is set so that the headcount poverty rate is twenty percent, the proportion of households vulnerable to poverty is roughly 30-50 percent. In addition to the twenty percent currently poor, an additional 10-30 percent of the population is at substantial risk of poverty. They illustrate the usefulness of this approach for targeting, by examining differences in vulnerability between households by gender, level of education, urban-rural residence, land-holding status, and sector of occupation of the head of household.
Subfields: Safety Research, Sociology and Political Science, Soil Science
View Paper: https://www.semanticscholar.org/paper/47cf411a58648da1573a5c062544c9a3308cb76e
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Safety Research
- Ruth Vargas Hill
- R. Gaiha
- K. Imai
- Audrey Verdier‐Chouchane
- Christophe Béné
- Valérie Bérenger
- Catherine Porter
- W. Kang
In Sociology and Political Science
- Ruth Vargas Hill
- K. Imai
- R. Gaiha
- Audrey Verdier‐Chouchane
- Christophe Béné
- Valérie Bérenger
- Catherine Porter
- W. Kang
In Soil Science
- Ruth Vargas Hill
- R. Gaiha
- K. Imai
- Audrey Verdier‐Chouchane
- Christophe Béné
- Valérie Bérenger
- Catherine Porter
- W. Kang
Citations in the corpus
- Are Fishers Poor or Vulnerable? Assessing Economic Vulnerability in Small-Scale Fishing Communities (2009, background): “…to develop quantitative measures of vulnerability, essentially focusing on welfare and in particular economic vulnerability (see Christiaensen and Boisvert, 2000; Pritchett et al., 2000; Chaudhuri, 2001; Chaudhuri et al., 2002; McCulloch and Calandrino, 2003; Christiansen and Subbarao, 2004).”
- Vulnerability and poverty dynamics in Vietnam (2011, background): “There has been a surge of interest in measuring vulnerability in developing countries (see, e.g. Pritchett et al., 2000; Chaudhuri et al., 2002; Chaudhuri, 2003; Hoddinott and Quisumbing, 2003a, b; Ligon and Schechter, 2003; Gaiha and Imai, 2004, 2009; Dercon, 2005; Jalan and Ravallion, 2005;…”
- Chronic poverty: meanings andanalytical frameworks, CPRC Working Paper No. 2, CPRC-IIPA Working Paper No. 1 (2001, unknown): “While generally drawing upon income/consumption data, quantitative analysis of chronic poverty can also draw upon other measures of poverty and deprivation.”
- Multidimensional Measures of Well-Being: Standard of Living and Quality of Life Across Countries (2007, background): “But Easterly (2002), who examines inequality as a barrier to prosperity and growth, and Pritchett, Suryahadi, and Sumarto (2000), who look at vulnerability to poverty, use household data.”
- Vulnerability to drought and food price shocks : evidence from Ethiopia (2016, background): “5 across the 6,000 states of the world simulated (Pritchett et al., 2000; Chaudhuri, 2003).”