Journal Special Issue
Measuring Poverty Over Time

People often move in and out of poverty, and the length of time spent in poverty can vary widely, likely affecting prospects of escaping and staying out of poverty. Current poverty measures do not account for these aspects. Should they? Are there sound theoretical foundations for shifting towards more complex lifetime measures of poverty that are backed by empirical evidence? Furthermore, if data limitations prevent us to implement this new approach for the time being, are there imputation methods that can accurately fill the data gaps in the meantime? The conceptual limitations of the static ‘snapshot’ approach to poverty measurement have long been recognized, giving rise to the distinction between chronic and transitory poverty and the development of accompanying measures. When the chronic and transient components of poverty are distinguished, attention usually focuses on the average consumption shortfall or the proportion of time spent in poverty across a person’s lifetime, ignoring the sequencing and duration of poverty spells. From this perspective, a person having spent the first half of their life in poverty, a person having spent the last half of their (equally long) life in poverty, and a person having spent half their life in poverty in total, though with poverty spells alternating with non-poverty spells, would be equally poor and would be assigned equal degrees of chronic and transient poverty. This is questionable. Long periods in poverty may cause permanent damage (and thus affect a person’s poverty prospects) in a way that cannot be properly captured by the snapshot and components approach to poverty measurement. The timing of consumption shortfalls during a person’s lifecycle may also matter, with early childhood poverty proving to be especially detrimental in terms of cognitive development as well as the person’s future earnings profile. It is argued that both the duration and sequencing of the poverty spells in a person’s lifetime matter in assessing that person’s poverty status, and by extension, the poverty status of the population the person belongs to. The literature has only just begun to grapple with the challenges of incorporating and formalizing these more sophisticated intertemporal perspectives in measures of poverty, let alone their practical application. The seven studies in this special journal issue take an intertemporal perspective on poverty measurement. They were first presented at the UNU-WIDER conference on ‘Frontiers of Poverty Analysis’, in September 2008 in Helsinki, and have since been extensively revised and polished following feedback from the audience and academic peer review. It is clear that a more complete understanding of poverty requires much more attention to the time dimension. As the studies illustrate, it is also clear that many theoretical and practical questions remain unresolved in measuring poverty over time, offering many fascinating opportunities for further investigation.

Table of contents
  1. 1. Measuring Poverty Over Time
    Luc Christiaensen, Anthony F. Shorrocks
  2. 2. Poverty and Time
    Walter Bossert, Satya R. Chakravarty, Conchita D'Ambrosio
    More Working Paper | Poverty and Time
  3. 3. Empirical Issues in Lifetime Poverty Measurement
    Michael Hoy, Brennan Scott Thompson, Buhong Zheng
    More Working Paper | Empirical Issues in Lifetime Poverty Measurement
  4. 4. Measuring the Effect of Spell Recurrence on Poverty Dynamics: Evidence from Spain
    José Maria Arranz, Olga Cantó
    More Working Paper | Measuring the Effect of Spell Recurrence on Poverty Dynamics
  5. 5. Subjective Well-Being and Reference-Dependence: Insights from Mexico
    Carolina Castilla
    More Working Paper | Subjective Poverty and Reference-Dependence
  6. 6. Tracking Poverty with Coarse Data: Evidence from South Africa
    Claire Vermaak
    More Working Paper | The Impact of Multiple Imputation of Coarsened Data on Estimates on the Working Poor in South Africa
  7. 7. Small Area Estimation-Based Prediction Methods to Track Poverty: Validation and Applications
    Luc Christiaensen, Peter Lanjouw, Jill Luoto, David C. Stifel
    More Working Paper | The Reliability of Small Area Estimation Prediction Methods to Track Poverty
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