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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Paper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number
504.
Find related papers by JEL classification: D31 - Microeconomics - - Distribution - - - Personal Income and Wealth Distribution I32 - Health, Education, and Welfare - - Welfare and Poverty - - - Measurement and Analysis of Poverty C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data C35 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Discrete Regression and Qualitative Choice Models
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Mary Gregory & Miriam Beblo & Wiemer Salverda & Ioannis Theodossiou, 2009.
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Stewart, Mark B & Swaffield, Joanna K, 1999.
"Low Pay Dynamics and Transition Probabilities,"
Economica,
London School of Economics and Political Science, vol. 66(261), pages 23-42, February.
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