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 nonrandom 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.
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- Lorenzo Cappellari & Stephen P. Jenkins, 2004.
"Modelling low income transitions,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 19(5), pages 593-610.
- Cappellari, Lorenzo & Jenkins, Stephen P., 2002. "Modelling low income transitions," ISER Working Paper Series 2002-08, Institute for Social and Economic Research.
- Cappellari, Lorenzo & Jenkins, Stephen P., 2002. "Modelling Low Income Transitions," IZA Discussion Papers 504, Institute for the Study of Labor (IZA).
- Lorenzo Cappellari & Stephen P. Jenkins, 2002. "Modelling Low Income Transitions," Discussion Papers of DIW Berlin 288, DIW Berlin, German Institute for Economic Research.
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"Earnings Mobility Among Italian Low Paid Workers,"
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1068, Institute for the Study of Labor (IZA).
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- 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.
- Arulampalam, Wiji & Booth, Alison L & Taylor, Mark P, 2000. "Unemployment Persistence," Oxford Economic Papers, Oxford University Press, vol. 52(1), pages 24-50, January.
- White, Halbert, 1982. "Maximum Likelihood Estimation of Misspecified Models," Econometrica, Econometric Society, vol. 50(1), pages 1-25, January.
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