Abstract
An important task for analysts of official statistical data is the determination of social risk groups, especially in poverty risk. As the data used in such analyses (Household Income and Expenditures surveys) have rather high non-response rate and may be affected by different sources of errors, the problem of model stability is important. One possibility to check the stability of a model is to use different generation procedures.
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References
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Household Living Niveau 2000, Statistical Office of Estonia, Tallinn, 2001.
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© 2002 Springer-Verlag Berlin Heidelberg
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Käärik, E., Tiit, EM., Vähi, M. (2002). MCMC Model for Estimation Poverty Risk Factors using Household Budget Data. In: Härdle, W., Rönz, B. (eds) Compstat. Physica, Heidelberg. https://doi.org/10.1007/978-3-642-57489-4_67
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DOI: https://doi.org/10.1007/978-3-642-57489-4_67
Publisher Name: Physica, Heidelberg
Print ISBN: 978-3-7908-1517-7
Online ISBN: 978-3-642-57489-4
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