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Inter-Generational Transfer of Household Poverty in KwaZulu Natal: Evidence from KIDS (1993 – 2004) Antonie Pool University of the Free State TIPS Conference, Cape Town October 2008
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Outline of paper Literature review Data Methods Results Conclusion and policy recommendations
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Background & Literature Poverty alleviation is focus of many policy frameworks (MDG’s, ASGISA) MDG’s ½ poverty by 2015 ASGISA ½ poverty by 2014 56% of Africans & 15% of Indians still live in poverty (UNDP, 2004) Poverty = when a person/household cannot attain a reasonable minimum level of economic wellbeing (Ravallion, 1994). Require knowledge of poverty determinants to achieve goal of halving poverty by 2014 Problem is the existence of poverty traps 60% of SA’s poor households are caught in a structural poverty trap (Carter & May, 2001) Inter-generational-transfer of poverty also a poverty trap
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Aims of the study What determines the poverty status of a Dynasty household? What influence does the background (transitions) of a household have on the probability to be poor? (IGT poverty) What can be done to ensure the goal of halving poverty by 2014 is reached – given the regression results?
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Data Kwa-Zulu Natal Income Dynamics Study (KIDS) data Longitudinal survey following a random sample of individuals who lived in KZN in 1993. Survey done in 3 waves 1993, 1998, 2004 In 1998 & 2004, only re-interviewed Africans & Indians 2004 Due to aging & effect of HIV/AIDS Include Next Generation & Foster households Study focuses on all these wave To look at the determinants of poverty in Dynasty households and the role of Core characteristics.
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Method Divided 2004 data between “core” & “dynasty” households Where dynasty households represent the split-off “next generation” & ”foster” households of the core households
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Method - continue Income Poverty All those households that fall below the pre-defined poverty line Poverty line = R250 p/person per month (2000 prices) (Van der Berg & Louw, 2004) Used CPI to inflate poverty line to 1993, 1998 & 2004 value Used adult equivalent household sizes Compared household poverty line based on household expenditure
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Method - continue Regression analyses Firstly used Panel data to determine dynamic variables, followed by a cross sectional Probit model estimation Indicate the effect of each independent variable on the probability that a Dynasty household is poor (HHSize = 0.05 For every 1 additional member in the hh, the probability to be poor increases by 5%) This identify the distinction of core dynamics versus dynasty characteristics as the main determinants of poverty
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Household level of poverty Difference between 2004 dynasty- & 1993 core households significant at 10% level of significance. Differences between 2004 dynasty- & both the 1998 & 2004 core households significant at 1% level of significance.
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Levels of education (1993Core & 2004 Dynasty)
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Poverty status of core households (1993-2004)
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Regression Analyses - The model
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Regression Results – Dynasty Characteristics * 10% level of significance; **5% level of significance; *** 1% level of significance
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Regression Results – Core Characteristics
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* 10% level of significance; **5% level of significance; *** 1% level of significance Regression Results – Pooled models
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* 10% level of significance; **5% level of significance; *** 1% level of significance Regression Results – Intergenerational Transfer of Poverty (ITP) (Poverty | X)(dF/dx) hhsize_Dynasty0.0302** Dependants_Dynasty0.0350* TransitoryPoor0.1487*** ChronicallyPoor0.4131*** Obs446 Wald chi253.29 (0.0000) Pseudo R20.2056 Correctly classified80.04% Std.errors adjusted for clusters276
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* 10% level of significance; **5% level of significance; *** 1% level of significance Regression Results – Intergenerational Transfer of Poverty (ITP) (Poverty | X)(dF/dx) NoSchool_Dynasty0.0771*** Primary_Dynasty0.0430*** Secondary_Dynasty0.0074 Matric_Dynasty0.0149 PostSecondary_Dynasty-0.1436** TransitoryPoor0.1134** ChronicallyPoor0.3239*** Obs446 Wald chi275.73 (0.0000) Pseudo R20.2537 Correctly classified81.17% Std.errors adjusted for clusters276
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Conclusion & Policy recommendations Household size and the number of dependants in a household have an influence on the probability that a household will be poor. Surprisingly, employment income has only a small impact on the probability that a household will be poor (Remittance income influence larger) (Maybe due to educational and unemployment profile of group) Background & change over time (especially in the level of education) play a determinant role in the poverty status of a household Most important determinant of household poverty is inter- generationally transferred – poverty trap that needs ultimate attention Those households exposed to IGT poverty – Long-term problem. In these cases, the most important focus must be on education.
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Further research: Interact core/dynasty characteristics to explain why dynasty/core households escaped poverty or not? The role of migration and net-remittances in poverty.
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Thank You
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