Assessing household vulnerability to poverty from cross-sectional data: a methodology and estimates from Indonesia ∗

By Shubham Chaudhuri, J. Jalan, Asep Suryahadi. 2002

574 citations recorded by the source corpus.

Subfields: Safety Research, Sociology and Political Science, Soil Science

View Paper: https://www.semanticscholar.org/paper/0b4682f418dd8dbae0d5ce45221d6d9f76ad21ef

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Citations in the corpus

Measuring Vulnerability: The Director's Cut (2002, background): “Christiaensen and Boisvert (2000); Pritchett et al. (2000); Chaudhuri (2001) and Chaudhuri et al. (2001) all estimate EP 0 .”
Vulnerability and poverty dynamics in Vietnam (2011, methodology): “13 See Gaiha et al. (2007) for a further extension of the model. determinants of vulnerability and poverty over the years, (ii) examination of the relation between VEP in 2002 and poverty in 2004 and (iii) analysis of the determinants of poverty transition.”
Chronic and Transient Poverty: Measurement and Estimation, with Evidence from China (2010, unknown): “The paper’s methodology, however, can be extended to other indices, including those discussed in Chaudhuri et al. (2002), Ligon and Schechter (2003), Suryahadi and Sumarto (2003), Christiaensen and Subbarao (2004), Kamanou and Morduch (2004), and Kurosaki (2005).”
Effect of Financial Inclusion on Poverty and Vulnerability to Poverty: Evidence Using a Multidimensional Measure of Financial Inclusion (2020, unknown): “Measurement of vulnerability as low expected utility or as uninsured exposure to risk require panel data, but vulnerability as expected poverty can be measured using cross-sectional data (Azeem et al. 2018; Chaudhuri et al. 2002).”
Digital Financial Inclusion and Farmers’ Vulnerability to Poverty: Evidence from Rural China (2020, background): “Poverty is an ex-post welfare condition, whereas vulnerability is an ex-ante poverty indicator of a household’s ability to cope with risks [16,17].”
Vulnerability: A Micro Perspective (2006, background): “Some use creative but rather glorious and ultimately unsatisfactory assumptions to exploit estimated and parameterised error distributions from cross-section data to derive distributions of potential outcomes, usually consumption (see for example, Chaudhuri, et al., 2002).”
Measuring Individual Vulnerability (2005, background): “There is a small, largely empirical but closely related literature that has introduced concepts of vulnerability (e.g. Bourguignon et al., 2004; Christiaensen and Subbarao, 2004; Chaudhuri et al., 2002; Kamanou and Morduch, 2004).”