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Education in Southern Africa (Data Envelopment Analysis) Team BIA 650 – Spring 2013 Minxiang TuProfessor Edward Stohr Sindhu Thomas Shan Lin.

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Presentation on theme: "Education in Southern Africa (Data Envelopment Analysis) Team BIA 650 – Spring 2013 Minxiang TuProfessor Edward Stohr Sindhu Thomas Shan Lin."— Presentation transcript:

1 Education in Southern Africa (Data Envelopment Analysis) Team BIA 650 – Spring 2013 Minxiang TuProfessor Edward Stohr Sindhu Thomas Shan Lin

2 Introduction Education is the most powerful weapon you can use to change the world. - Nelson Mandela Stakeholders

3 Definition of HDI HDI (Human Development Index) - used to compare countries development - Uses factors like education, health and standard of living to measure - Different from the GDP which is based on economic factors

4 Problem Statement To measure the impact of education on HDI in Southern Africa Identify criteria that makes education the frontier for some countries Analyze challenges specific to Southern Africa

5 Education Statistics 141,000,000 people in East Africa live on less than $2US/day. Typical family has 6 children. Cost of education remains the largest obstacle: $750 full board, $30 uniform/shoes, $30 school supplies.

6 Data

7 Data – HDI for Madagascar Source: UNDP

8 Data – Education Statistics Madagascar Education IndicatorValueMean Public expenditure on education (% of GDP) (%) Primary school teachers trained to teach (%) Primary school dropout rates (% of primary school cohort) Expected Years of Schooling (of children) (years) Adult literacy rate, both sexes (% aged 15 and above) Mean years of schooling (of adults) (years) Education index Combined gross enrolment in education (both sexes) (%) Source: UNDP

9 Data

10 UNDP ranking DMUHDI Efficiency Score Education Index DEA ranking 80Mauritius Botswana South Africa Namibia Swaziland Madagascar Tanzania Lesotho Zambia Malawi Mozambique Democratic Republic of Congo

11 CountriesCountry Education indexEduIndex Adult literacy rate, both sexes (% aged 15 and above)Literacy Total populationTotalPop GNI per capitaGNIcapita Public expenditure on education (% of GDP) (%)PEE Life expectancy at birthLifeExp Expected Years of Schooling (of children) (years)EYS Mean years of schooling (of adults) (years)MYS Primary school teachers trained to teach (%)Teachers Combined gross enrolment in education (both sexes) (%) GE Primary school net enrolment ratioPER Secondary school enrolment ratioSSER Primary school dropout rates (% of primary school cohort) PSD

12 Correlation coefficients matrixMean and Variance Education index Mean years of schooling: Expected years of schooling: Literacy rate Education Index: Mean years of school: Expected years of school: GNI per capita: Public expenditure on education:

13

14 Cluster analysis Classify these countries into 3 clusters based on all their variables. Madagascar Malawi Mozambique Zambia Cluster 1 Botswana Democratic Republic of Congo Lesotho Mauritius Namibia Swaziland Cluster 2 South Africa United Republic of Tanzania Cluster Total population In these countries To check the cluster result

15 Result of regression Equation: Literacy rate = (Intercept) GNICapita PEE LifeExp EYS MYS Teachers GE SSER PSD

16 Conclusion Education is a key part in increasing literacy rate and hence GNI School enrollment rates are high, but drop out rates are higher Cluster analysis is useful because the countries have varying parameters Directly funding education could increase HDI of the target country


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