Human deprivation is not confined to consumption shortfalls. Recent literature is crafting both analytical and empirical frameworks that will reshape our understanding of poverty as a multidimensional condition. Low consumption, below some minimal standard, is but one of the faces of poverty, and indeed the predicaments of the poor may be often due to some other forms of deprivation, such as disease, illiteracy, malnutrition, and also a sense of insecurity and defencelessness as they endeavour to survive in an environment characterized by uncertainty about the future. In this chapter we focus on this last component, and claim that such lack of ‘peace of mind’ is a relevant form of deprivation, as argued for instance by Chambers (1989) and Narayan, Patel et al. (2000).
Poverty Line Poverty Measure Downside Risk Multidimensional Poverty Probability Transfer
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
This is a preview of subscription content, log in to check access.
Atkinson, A. and F. Bourguignon (1982) ‘The Comparison of Multidimensioned Distributions of Economic Status’, Review of Economic Studies, 49, 183–201.CrossRefGoogle Scholar
Binswanger, H. P. (1981) ‘Attitudes Toward Risk: Theoretical Implications of an Experiment in Rural India’, Economic Journal, 91, 867–90.CrossRefGoogle Scholar
Bourguignon, F. and S. Chakravarty (2003) ‘The Measurement of Multidimensional Poverty’, Journal of Economic Inequality, 1, 25–49.CrossRefGoogle Scholar
Bourguignon, F., C. Goh and D. Kim (2004) Estimating Individual Vulnerability Using Pseudo-Panel Data, World Bank Policy Research Working Paper 3375. Washington DC: WorldCrossRefGoogle Scholar
Bank. Calvo, C. and S. Dercon (2006) Vulnerability to Poverty. Mimeo.Google Scholar
Chambers, R. (1989) ‘Editorial Introduction: Vulnerability, Coping and Policy’, IDS Bulletin, 20, 1–7.CrossRefGoogle Scholar
Chakravarty, S. (1983) ‘A New Index of Poverty’, Mathematical Social Sciences, 6, 307–13.CrossRefGoogle Scholar
Chaudhuri, S., J. Jalan and A. Suryahadi (2002) Assessing Household Vulnerability to Poverty from Cross-sectional Data: A Methodology and Estimates from Indonesia, Columbia University Discussion Paper 0102–52.Google Scholar
Christiaensen, L. and K. Subbarao (2004) Toward an Understanding of Household Vulnerability in Rural Kenya, World Bank Policy Research Working Paper 3326. Washington DC: World Bank.Google Scholar
Cunningham, W. and W. Maloney (2000) Measuring Vulnerability: Who Suffered in the 1995 Mexican Crisis?, IBRD mimeo.Google Scholar
Elbers, C. and J. Gunning (2003) ‘Growth and Risk: Methodology and Micro-evidence’, Tinbergen Institute Discussion Papers 03–068/2.Google Scholar
Epstein, L. and S. Tanny (1980) ‘Increasing Generalized Correlation: A Definition and Some Economic Consequences’, Canadian Journal of Economics, 13, 16–34.CrossRefGoogle Scholar
Foster, J., J. Greer, and E. Thornbecke (1984) ‘A Class of Decomposable Poverty Measures’, Econometrica, 52, 761–6.CrossRefGoogle Scholar
Kamanou, G. and J. Morduch (2005) Measuring Vulnerability to Poverty, in S. Dercon (ed.), Insurance Against Poverty. Oxford: Oxford University Press.Google Scholar
Ligon, E. and L. Schechter (2003) ‘Measuring Vulnerability’, The Economic Journal, 113, C95–C102.CrossRefGoogle Scholar
Narayan, D., R. Patel et al., (2000) Can Anyone Hear Us? New York: Oxford University Press.Google Scholar
Ravallion, M. (1988) ‘Expected Poverty under Risk-Induced Welfare Variability’, The Economic Journal, 98, 1171–82.CrossRefGoogle Scholar
Ravallion, M. (1994) Poverty Comparisons: Fundamentals of Pure and Applied Economics Volume LVI. Chur: Harwood Academic Publishers.Google Scholar
Richard, S. (1975) Multivariate Risk Aversion, Utility Independence and Separable Utility Functions’, Management Science, 22, 12–21.CrossRefGoogle Scholar