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The Dynamics of Social Assistance Receipt: Measurement and Modelling Issues, with an Application to Britain

Author

Listed:
  • Lorenzo Cappellari

    (Università Cattolica di Milano)

  • Stephen P. Jenkins

    (University of Essex)

Abstract

We model the dynamics of social assistance benefit receipt in Britain using data from the British Household Panel Survey, waves 1–15. First, we discuss definitions of social assistance benefit receipt, and present information about the trends between 1991 and 2005 in the receipt of social assistance benefits, and in annual rates of transition into and out of receipt. Second, we review potential multivariate modelling approaches especially the dynamic random effects probit models that are used in our empirical analysis and, third, discuss sample selection criteria and explanatory variables. Fourth, we present our regression estimation estimates and interpret them. The final section contains a summary of the substantive results, and highlights some lessons concerning application of the analysis for other countries and some methodological issues.

Suggested Citation

  • Lorenzo Cappellari & Stephen P. Jenkins, 2008. "The Dynamics of Social Assistance Receipt: Measurement and Modelling Issues, with an Application to Britain," OECD Social, Employment and Migration Working Papers 67, OECD Publishing.
  • Handle: RePEc:oec:elsaab:67-en
    DOI: 10.1787/236346714741
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    References listed on IDEAS

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    1. P. Jenkins, Stephen & Cappellari, Lorenzo, 2002. "Modelling low income transitions," ISER Working Paper Series 2002-08, Institute for Social and Economic Research.
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    5. Lorenzo Cappellari & Stephen P. Jenkins, 2008. "Estimating low pay transition probabilities accounting for endogenous selection mechanisms," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 57(2), pages 165-186, April.
    6. Martin Biewen, 2004. "Measuring State Dependence in Individual Poverty Status: Are there Feedback Effects to Employment Decisions and Household Composition?," Discussion Papers of DIW Berlin 429, DIW Berlin, German Institute for Economic Research.
    7. Lorenzo Cappellari & Stephen P. Jenkins, 2004. "Modelling low income transitions," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 19(5), pages 593-610.
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    More about this item

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
    • I38 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Government Programs; Provision and Effects of Welfare Programs

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