Modelling low income transitions
We examine the determinants of low income transitions using first-order Markov models that control for initial conditions effects (those found to be poor in the base year may be a non-random sample) and for attrition (panel retention may also be non-random). Our econometric model is a form of endogeneous switching regression, and is fitted using simulated maximum likelihood methods. The estimates, derived from British panel data for the 1990s, indicate that there is substantial genuine state dependence in poverty. We also provide estimates of low income transition rates and lengths of poverty and non-poverty spells for persons of different types.
|Date of creation:||01 May 2002|
|Date of revision:|
|Contact details of provider:|| Postal: Publications Office, Institute for Social and Economic Research, University of Essex, Wivenhoe Park, Colchester, Essex CO4 3SQ UK|
Web page: https://www.iser.essex.ac.uk/
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- Lorenzo Cappellari & Stephen P. Jenkins, 2002.
"Modelling Low Income Transitions,"
Discussion Papers of DIW Berlin
288, DIW Berlin, German Institute for Economic Research.
- Cappellari, Lorenzo & Jenkins, Stephen P., 2002. "Modelling Low Income Transitions," IZA Discussion Papers 504, Institute for the Study of Labor (IZA).
- Cappellari, Lorenzo & Jenkins, Stephen P., 2002. "Modelling low income transitions," ISER Working Paper Series 2002-08, Institute for Social and Economic Research.
- Francesco Devicienti, 2001.
"Estimating Poverty Persistence in Britain,"
LABORatorio R. Revelli Working Papers Series
1, LABORatorio R. Revelli, Centre for Employment Studies.
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- 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.
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- Lorenzo Cappellari, 2007.
"Earnings mobility among Italian low-paid workers,"
Journal of Population Economics,
Springer;European Society for Population Economics, vol. 20(2), pages 465-482, April.
- Cappellari, Lorenzo, 2004. "Earnings Mobility Among Italian Low Paid Workers," IZA Discussion Papers 1068, Institute for the Study of Labor (IZA).
- Cappellari, Lorenzo, 2001. "Earnings mobility among Italian low paid workers," ISER Working Paper Series 2001-13, Institute for Social and Economic Research.
- Ann Huff Stevens, 1995.
"Climbing Out of Poverty, Falling Back In: Measuring the Persistence of Poverty over Multiple Spells,"
NBER Working Papers
5390, National Bureau of Economic Research, Inc.
- Ann Huff Stevens, 1999. "Climbing out of Poverty, Falling Back in: Measuring the Persistence of Poverty Over Multiple Spells," Journal of Human Resources, University of Wisconsin Press, vol. 34(3), pages 557-588.
- Arulampalam, Wiji & Booth, Alison L & Taylor, Mark P, 2000. "Unemployment Persistence," Oxford Economic Papers, Oxford University Press, vol. 52(1), pages 24-50, January.
- Atkinson, A B, 1987. "On the Measurement of Poverty," Econometrica, Econometric Society, vol. 55(4), pages 749-64, July.
- Stewart, M.B. & Swaffield, J.K., 1997.
"Low Pay Dynamics and Transition Probabilities,"
The Warwick Economics Research Paper Series (TWERPS)
495, University of Warwick, Department of Economics.
- Stephen P. Jenkins, 2000. "Modelling household income dynamics," Journal of Population Economics, Springer;European Society for Population Economics, vol. 13(4), pages 529-567.
- S. Illeris & G. Akehurst, 2001. "Introduction," The Service Industries Journal, Taylor & Francis Journals, vol. 21(1), pages 1-4, January.
- Sloane, P J & Theodossiou, I, 1996. "Earnings Mobility, Family Income and Low Pay," Economic Journal, Royal Economic Society, vol. 106(436), pages 657-66, May.
- Gerard J. van den Berg & Maarten Lindeboom, 1998. "Attrition in Panel Survey Data and the Estimation of Multi-State Labor Market Models," Journal of Human Resources, University of Wisconsin Press, vol. 33(2), pages 458-478.
- White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
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