Part of the Economic Studies in Inequality, Social Exclusion and Well-Being book series (EIAP, volume 3)
Modelling Fuzzy and Multidimensional Poverty Measures in the United Kingdom with Variance Components Panel Regression
KeywordsMembership Function Modelling Fuzzy Durable Good Poverty Measure Supplementary Variable
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- Bardasi E, Jenkins SP, Rigg J (2004) Documentation for derived current and annual net household income variables. BHPS 1-12, ISER unofficial supplement to BHPS dataGoogle Scholar
- Betti G, Verma V (1999) Measuring the degree of poverty in a dynamic and comparative context: a multi-dimensional approach using fuzzy set theory. Proceedings of the ICCS-VI, Lahore, Pakistan, August 27–31, 1999, pp 289–301.Google Scholar
- Betti G, Verma V (2004) A methodology for the study of multi-dimensional and longitudinal aspects of poverty and deprivation. Università di Siena, Dipartimento di Metodi Quantitativi, Working Paper 49Google Scholar
- Cerioli A, Zani S (1990) A fuzzy approach to the measurement of poverty. In: Dagum C, Zenga M (eds) Income and wealth distribution, inequality and poverty. Springer Verlag, Berlin, pp 272–284.Google Scholar
- Cheti B, Lemmi A (1995) A “Totally” Fuzzy and Relative Approach to the Multi-dimensional Analysis of Poverty. Economic Notes 24:115–134.Google Scholar
- Devicenti F (2001) Poverty persistence in Britain: a multivariate analysis using The BHPS, 1991–1997. In: Moyes P, Seidl C, Shorrocks AF (eds) Inequalities: theory, measurement and applications. Journal of Economics Suppl. 9, pp 1–34.Google Scholar
- Littell RC, Milliken GA, Stroup WW, Wolfinger RD (1996) SAS System for Mixed Models. SAS Institute Inc., Cary, NCGoogle Scholar
- Modigliani F (1966) The life cycle hypothesis of savings, the demand for wealth and the supply of capital. Social Research 33:160–217.Google Scholar
- Raghunathan TE, Lepkowski J, Van Voewyk J (2001) A multivariate technique for imputing missing values using a sequence of regression models. Survey Methodology 27:85–95.Google Scholar
- Trivellato U (1998) Il monitoraggio della povertà e della sua dinamica: questioni di misura e evidenze empiriche. Statistica 58:549–575.Google Scholar
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