Intrahousehold Resource Allocation in South Africa: Its Impact on Children’s Welfare

This study is an analytical and empirical assessment of the impact of household structures on children’s welfare using household level data from South Africa. Specifically, the thesis measures the relationship between different types of household structures and their impact on children’s health…


Chapter 1: Introduction
1.1 The South African Context
1.2 The Map of This Study
Chapter 2: Setting the Context: A Literature Overview
2.1 Decision-making in a household: How is this done?
2.1a) The Unitary Household Model
2.1b) The Bargaining Household Model
2.2 Bargaining Between Whom?
2.2 a: Gender differences in Resource Allocation
2.3 Focusing on Female Headed Households: The “Women In Development”
2.3a) Are Female-headed Households more Vulnerable to Poverty compared to Households with Adult Male Members?
2.3b) Consequences of Female Headship for Children’s Well-being
2.4 Assessing the Concept of “Household Headship”.
2.5 Complex Household Structures
Conclusion: From Gender Head-Ship to Complex Household Structures
Chapter 3: The South African Context
3.1. The Apartheid Era in South Africa
3.2. Post-Apartheid South Africa
3.2a Social indicators
3.2b Income and Inequality
3.2c A Profile of South Africa’s Poor
3.3. Women’s Status in South Africa: Past and Present
3.3a Variation in household structure in South Africa
3.3b Variations in female-headed households
3.3c Paid Employment: The Work Women Do
3.4. Intrahousehold Resource Distribution and Welfare
3.5. Children’s Welfare: Health
Chapter 4: Conceptual Framework
4.1. Link Children’s Welfare to Household Structure rather than Household Headship
4.1a Conceptualization of “Female-only” Households”
4.1b Conceptualization of “Mixed-gender” Households
4.2. “Female-only” Households are Economically Poorer compared to “Mixed-gender” Households
4.3 Expenditure Patterns
4.4 Household Structure and Race
4.5 Conceptualization of Children’s Welfare through Anthropometric Measures
Chapter 5: Description of Data
5.1 Sample Description
5.2 Sample and Variables for this study
5.3 Dependent Variable
5.3a Height-for-age z-scores (Variable name: HAZ)
5.4 Independent Variables: Control Variables
5.4a Race (Variable name: race)
5.4b Age of child (Variable name: agem)
5.4c Square of age of child (Variable name: agem_sq)
5.4d Gender of child (Variable name: female)
5.4e Region (Variable name: Residence)
5.4f Number of Adults within a Household (Variable name: number of adults)
5.5 Independent Variables: Key Variables
5.5a Female versus Mixed-gender households (Variable name: Femonly)
5.5b Categorical Household Variable (Variable name: hhtype1)
5.5c Income (Variable name: minc)
5.5d Total Monthly Food Expenditure (2 Variables: foodmx and foodmx²)
5.5e Unemployment and Time Availability (Variable name: Percent unemployed)
Chapter 6: Model, Results and Discussion
6.1 Methodology and Model Specification
6.2 Results
6.2a The Basic Model
6.2b Unemployment and HAZ
6.3 Discussion:
Chapter 7: Summary and Conclusion

Author: Ahmad, Samia Mahbub

Source: University of Maryland

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