Inter-Generational Transfer of Household Poverty in KwaZulu Natal: Evidence from KIDS (1993 – 2004) Antonie Pool University of the Free State TIPS Conference,

Slides:



Advertisements
Similar presentations
Longitudinal LFS Catherine Barham and Paul Smith ONS.
Advertisements

Ana Marr, University of Greenwich, London, UK Julian Schmied, Potsdam University, Germany Third European Research Conference on Microfinance, Norway, June.
Subjective well-being, comparisons and reference groups in post- apartheid South Africa Marisa Coetzee University of Stellenbosch South Africa 27 October.
Social inclusion: bridging social protection and employment policies CREATING JOBS FOR EQUITY AND PROSPERITY REGIONAL CONFERENCE ON EMPLOYMENT AND SOCIAL.
Promoting the wellbeing of Africans through policy relevant research on population and health African Population and Health Research Center Authors: Moses.
Vision: to create a world in which older people flourish About Age NI Mission: to improve and enhance the lives of older people.
ICES 3° International Conference on Educational Sciences 2014
1 1 Effects of attrition in the Norwegian Survey on statistics on income and living conditions Marit Wilhelmsen Statistics Norway Q European Conference.
Ms. Raynata Wiggins and Dr. Sandra Sookram
CHR – Centre for Housing Research, University of St Andrews Who wants to leave the neighbourhood? The effect on moving wishes of being different from the.
Separation and intergenerational family obligations. Evidence from the Netherlands (and Flanders) 8th meeting of the European Network for the Sociological.
EPUNet Conference – BCN 06 “The causal effect of socioeconomic characteristics in health limitations across Europe: a longitudinal analysis using the European.
1 WELL-BEING AND ADJUSTMENT OF SPONSORED AGING IMMIGRANTS Shireen Surood, PhD Supervisor, Research & Evaluation Information & Evaluation Services Addiction.
M. Fall, JP. Lorgnet et alii 26/02/2010 Individual Dynamics of Poverty, a study tackling changes in poverty in France via the SILC survey.
1 RDW 2015 Evaluation of the new Minimum Wage in Cabo Verde: specific reference to INFORMALITY and DOMESTIC WORKERS Patrick Belser Rosalia Vazquez-Alvarez.
Escaping poverty: are there any differences by household type? Elena Bárcena Antonio Fernández Guillermina Martín University of Málaga EPUNet Conference.
Stéfan Lollivier 20/02/2014 Satisfaction and quality of life SILC longitudinal training.
AGRICULTURAL GROWTH AND POVERTY REDUCTION: THE CASE OF INDONESIA By Sudarno Sumarto Asep Suryahadi The SMERU Research Institute October 2003.
POVERTY PRESENTATION AT UNDP OFFICE POVERTY STATUS AND TREND IN TANZANIA MAINLAND, /12 Presented by Sango A. H. Simba National Bureau of Statistics.
1 Unemployment Compensation and the Risk of Unemployment The Case of Argentina Ana Lucía Iturriza ( ARGENTINA ) JJ/WBGSP Institute of Social Studies, 2005.
1 21ST SESSION OF AFRICAN COMMSION FOR AGRICULTURE STATISTICS WORKSHOPWORKSHOP HELD IN ACCRA, GHANA, 28 – 31 OCTOBER 2009 By Lubili Marco Gambamala National.
UGANDA NATIONAL PANEL SURVEY PROGRAM DECEMBER 2013 By James Muwonge, Uganda Bureau of Statistics Uganda Bureau of Statistics.
Programme to Support Pro-Poor Policy Development A partnership between the Presidency, Republic of South Africa and the European Union Uncovering indicators.
Factors that Associated with Stress in Nursing Faculty in Thailand
THE EFFECT OF INCOME SHOCKS ON CHILD LABOR AND CCTs AS AN INSURANCE MECHANISM FOR SCHOOLING Monica Ospina Universidad EAFIT, Medellin Colombia.
Agricultural employment trends in Latin America and new requirements for statistics Fourth International Conference on Agricultural Statistics (ICAS-4)
4th Russia-India-China Conference, New Dehli, November Entry to and Exit from Poverty in Russia: Evidence from Longitudinal Data Irina Denisova New.
Price & income elasticities of demand in Uganda Grieve Chelwa Economics of Tobacco Control Project School of Economics University of Cape Town.
Adult BMI as a health and nutritional inequality measure: applications at macro and micro-level Vasco Molini, Maarten Nubé and Bart van den Boom Centre.
Off-farm labour participation of farmers and spouses Alessandro Corsi University of Turin.
Changes in the economic well-being following the death of a spouse : Are public survivor pensions sufficient ? Some evidence for France Carole Bonnet (INED)
 Health insurance is a significant part of the Vietnamese health care system.  The percentage of people who had health insurance in 2007 was 49% and.
How has internal migration in Albania affected the receipt of transfers from family and friends? Florian Tomini Maastricht Graduate School of Governance.
12 October 2010 Livelihoods and Care: Synergies between Social Grants and Employment Programmes National Labour and Economic Development Institute.
Access to Electricity, Food Security and Poverty Reduction in Rural South-western Nigeria Awotide, B.A., T.T. Awoyemi, and A.O. Obayelu A paper prepared.
Tobacco Control Research Conference July 2014 Determinants of smoking initiation in South Africa Determinants of smoking initiation in South Africa.
Family Benefits in Poland How much do they alleviate poverty? Anna Ruzik (IPiSS. CASE). Marta Styrc (IPiSS. SGH) Research Seminar WNE UW May 29th, 2008.
POVERTY TRAPS AND STRUCTURAL POVERTY “Escaping Poverty Traps” Conference February 2009, Washington DC Julian May, School of Development Studies,
Poverty measurement: experience of the Republic of Moldova UNECE, Measuring poverty, 4 May 2015.
Maternal Romantic Relationship Quality, Parenting Stress and Child Outcomes: A Mediational Model Christine R. Keeports, Nicole J. Holmberg, & Laura D.
Guy Blaise NKAMLEU, AEA – November, 2009 THE IMPACT OF FARMERS’ CHARACTERISTICS ON TECHNOLOGY ADOPTION: A Meta Evaluation Guy Blaise NKAMLEU African Development.
Consumption-Risk and Poverty in Ethiopia Abebe Shimeles, Gothenburg University, Sweden.
Project Proposal Elina Dayanova Gregor Vulturius Youth unemployment and residential location.
The Relationship Between Altruism and Equal Division: Evidence From Inter Vivos Transfer Behavior Elin Halvorsen
1 The Labour Market Integration of Immigrants in OECD Countries on-going work for OECD's Working Party 1, EPC presented by Sébastien Jean (OECD) Workshop.
HAOMING LIU JINLI ZENG KENAN ERTUNC GENETIC ABILITY AND INTERGENERATIONAL EARNINGS MOBILITY 1.
Centre for Housing Research, University of St Andrews The Effect of Neighbourhood Housing Tenure Mix on Labour Market Outcomes: A Longitudinal Perspective.
Fourth Annual Meeting of NTA Project University of California in Berkeley January 2007 CONSTRUCTION OF NATIONAL TRANSFER ACCOUNTS FOR INDIA: METHODS,
DPG Meeting National Panel Survey (NPS) 2008/09 – 2010/11 December 4, 2012.
National Transfer Accounts: Brazilian Case Cassio M. Turra Cedeplar/UFMG Bernardo L. Queiroz Cedeplar/UFMG Elisenda R. Perez Cedeplar/UFMG Berkeley, 01/19/2007.
Finding a job after unemployment: key factors in Russia and Germany Gladnikova Ekaterina (HSE, Moscow) Ketzmerick Thomas (ZSH, Halle) Malkova Maria (HSE,
Early Motherhood in the UK: Micro and Macro Determinants Denise Hawkes and Heather Joshi Centre for Longitudinal Research Institute of Education University.
The dynamics of poverty in Ethiopia : persistence, state dependence and transitory shocks By Abebe Shimeles, PHD.
Housing Studies Association conference paper Assessing the growth of the private rented sector: choice versus constraints Paul Sissons and Donald Houston.
How Economic and Ideational Factors Interact in Shaping Marriage Timing in Nepal --A Reasonable Choice Approach Yingchun Ji Carolina Population Center.
Welfare Effect of Foreign Migration and Remittances in Kosovo Sachiko Miyata, World Bank Irina Shaorshadze, Cambridge University.
Women with small children in Russia: types of employment and labor market behavior strategies Anna Sukhova State University.
CROSS-COUNTRY INCOME MOBILITY COMPARISONS UNDER PANEL ATTRITION: THE RELEVANCE OF WEIGHTING SCHEMES Luis Ayala (IEF, URJC) Carolina Navarro (UNED) Mercedes.
12 October 2010 Livelihoods and Care: Synergies between Social Grants and Employment Programmes National Labour and Economic Development Institute.
Early Maternal Employment and Child Development in 5 OECD Countries ISCI Conference York, 28 July 2011 María Carmen Huerta OECD, Social Policy Division.
Determinants of Rural Transient and Chronic Poverty: Evidence from Kenya Determinants of Rural Transient and Chronic Poverty: Evidence from Kenya Milu.
Kids these days Since the mid-2000s, car use and licensure declined in the US and peer countries, particularly among the young. We explore the dramatic.
Cross-border bank lending versus FDI in Africa’s growth story Jose Brambila Macias Isabella Massa Victor Murinde University of ReadingOverseas Development.
Smallholder Participation in Land Rental Market in a Mountainous Region of Southern China: Impact of Population Aging, Land Tenure Security and Ethnicity.
DATA FOR EVIDENCE-BASED POLICY MAKING Dr. Tara Vishwanath, World Bank.
Kehinde Oluseyi Olagunju Szent Istvan University, Godollo, Hungary. “African Globalities – Global Africans” 4 th Pecs African Studies Conference, University.
Do Remittances Improve Food Consumption of Migrant’s Household? Evidence from Nigeria Babatunde Raphael Olanrewaju Department of Agricultural Economics.
At 2017 OWSD-BIU International Conference
The effects of rotational design and attrition
Presentation transcript:

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

Outline of paper  Literature review  Data  Methods  Results  Conclusion and policy recommendations

Background & Literature Poverty alleviation is focus of many policy frameworks (MDG’s, ASGISA) MDG’s  ½ poverty by 2015 ASGISA  ½ poverty by % 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

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?

Data  Kwa-Zulu Natal Income Dynamics Study (KIDS) data  Longitudinal survey following a random sample of individuals who lived in KZN in  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.

Method  Divided 2004 data between “core” & “dynasty” households Where dynasty households represent the split-off “next generation” & ”foster” households of the core households

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

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

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.

Levels of education (1993Core & 2004 Dynasty)

Poverty status of core households ( )

Regression Analyses - The model

Regression Results – Dynasty Characteristics * 10% level of significance; **5% level of significance; *** 1% level of significance

Regression Results – Core Characteristics

* 10% level of significance; **5% level of significance; *** 1% level of significance Regression Results – Pooled models

* 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 chi (0.0000) Pseudo R Correctly classified80.04% Std.errors adjusted for clusters276

* 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_Dynasty Matric_Dynasty PostSecondary_Dynasty ** TransitoryPoor0.1134** ChronicallyPoor0.3239*** Obs446 Wald chi (0.0000) Pseudo R Correctly classified81.17% Std.errors adjusted for clusters276

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.

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.

Thank You