Affiliation:
1. Uniwersytet Ekonomiczny w Katowicach
Abstract
The article analyses households’ poverty and nonpoverty duration. For this purpose survival function estimators for recurrent events were used: Wang-Chang estimator and two estimators proposed by Pena, Strawderman and Hollander (IIDPLE and FRMLE). We can conclude that survival probability for a long time out of poverty is greater than in the case of survival in poverty. Based on the graphical method we can conclude that the best estimator of survival in poverty and out of poverty is FRMLE. It means that we cannot assume that interoccurrence times within households are independent and identically distributed.
Publisher
Główny Urząd Statystyczny
Reference37 articles.
1. Allison P. D., (2010), Survival Analysis, w: Hancock G. R., Mueller R. O., (red.), The Reviewer’s Guide to Quantitative Methods in the Social Sciences, Routlege, New York, 423–424.
2. Andriopoulou E., Tsakloglou P., (2011), The Determinants of Poverty Transitions in Europe and the Role of Duration Dependence, IZA Discussion Paper No. 5692, Bonn, Germany.
3. Atkinson T., Cantillon B., Marlier E., Nolan B., (2002), Social Indicators. The EU and Social Inclusion, Oxford University Press, New York.
4. Bane M. J., Ellwood D. T., (1986), Slipping Into and Out of Poverty: The Dynamics of Spells, The Journal of Human Resources, 21 (1), 1–23.
5. Bieszk-Stolorz B., Markowicz I., (2012), Modele regresji Coxa w analizie bezrobocia, CeDeWu, Warszawa.
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1 articles.
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