Estimating development resilience: A conditional moments-based approach
Jennifer Denno Cissé and
Christopher Barrett ()
Journal of Development Economics, 2018, vol. 135, issue C, 272-284
Despite significant spending on ‘resilience’ by international development agencies, no theory-based method for estimating or measuring development resilience has yet been developed. This paper introduces an econometric strategy for estimating individual or household-level development resilience from panel data. Estimation of multiple conditional moments of a welfare function—itself specified to permit potentially nonlinear path dynamics—enables the computation and forecasting of individual-specific conditional probabilities of satisfying a normative minimum standard of living. We then develop a decomposable resilience measure that enables aggregation of the individual-specific estimates to targetable subpopulation- and population-level measures. We illustrate the method empirically using household panel data from pastoralist communities in northern Kenya. The results demonstrate the method and its potential for targeting resilience-building interventions.
Keywords: Panel data; Poverty dynamics; Resilience; Risk (search for similar items in EconPapers)
JEL-codes: C46 I32 O12 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:deveco:v:135:y:2018:i:c:p:272-284
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