Estimating poverty persistence in Britain
Abstract
This paper uses longitudinal data from the BHPS, waves 1-8, to document low-income dynamics and persistence for individuals living in Britain in the 1990s. Poverty exit and re-entry rates are estimated and the resulting distribution of time spent in poverty is calculated, both in single and in multiple-spells frameworks. Following Stevens (1999), I estimate a multiple-spell model of transitions in and out of poverty, controlling for observed and correlated unobserved individual heterogeneity and for a potential initial condition problem. Both hazard rate and components-of- variance models are used to predict the number of years in poverty for various subgroups of the populations.(This abstract was borrowed from another version of this item.)
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Bibliographic Info
Article provided by Springer in its journal Empirical Economics.
Volume (Year): 40 (2011)
Issue (Month): 3 (May)
Pages: 657-686
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Related research
Keywords: Poverty persistence; Hazard models; Multiple spells; Unobserved heterogeneity; Variance-components models; I32; C33; C41;Other versions of this item:
- Francesco Devicienti, 2001. "Estimating Poverty Persistence in Britain," LABORatorio R. Revelli Working Papers Series 1, LABORatorio R. Revelli, Centre for Employment Studies.
- Devicienti, Francesco, 2002. "Estimating Poverty Persistence in Britain," Royal Economic Society Annual Conference 2002 61, Royal Economic Society.
- Francesco Devicienti, 2001. "Estimating Poverty Persistence in Britain," 10th International Conference on Panel Data, Berlin, July 5-6, 2002 B2-3, International Conferences on Panel Data.
- I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty
- C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Longitudinal Data; Spatial Time Series
- C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis; Optimal Timing Strategies
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