References
- Abadie, A & Imbens, G, 2011. Bias corrected matching estimators for average treatment effects. Journal of Business and Economic Statistics 29(1), 1–11.
- Delany, A, Ismail, Z, Graham, L & Ramkissoon, Y, 2008. Review of the child support grant: uses, implementation and obstacles.
- Aguero, J, Carter, M & Woolard, I, 2006. The impact of unconditional cash transfers on nutrition: The South African Child Support Grant. Southern Africa labour & development research unit Working paper.
- Aryastami, NK, Shankar, A, Kusumawardani, N, Besral, B, Jahari, AB & Achadi, E, 2017. Low birth weight was the most dominant predictor associated with stunting among children aged 12–23 Months in Indonesia. BMC Nutrition 3(1), 16.
- Boersma, B & Wit, JM, 1997. Catch-up growth. Endocrine Reviews 18(5), 646–661.
- Brophy, T, Branson, N, Daniels, RC, Leibbrandt, M, Mlatsheni, C & Woolard, I, 2018. National income dynamics study panel user manual.
- Chersich, MF, Luchters, S, Blaauw, D, Scorgie, F, Kern, E, Van den Heever, A, Rees, H, Peach, E, Kharadi, S & Fonn, S, 2016. Safeguarding maternal and child health in South Africa by starting the Child Support Grant before birth: Design lessons from pregnancy support programmes in 27 countries. South African Medical Journal 106(12), 1192–1210.
- Coetzee, M, 2011. Finding the benefits: estimating the impact of The South African Child Support Grant. South African Journal of Economics 81(3), 427–450.
- Coetzee, M, 2013. Finding the benefits: estimating the impact of The South African Child Support Grant. Economic Research Southern Africa (ERSA) Working paper Series, Working paper 230.
- Deming, WE & Stephan, FF, 1940. On the least squares adjustment of a sampled frequency table when the expected marginal totals are known. Annals of Mathematical Statistics 11, 427–444.
- DSD, SASSA & UNICEF, 2012. The South African Child Support Grant impact Assessment: evidence from a survey of children, adolescents and their households. UNICEF South Africa, Pretoria.
- Desmond, C & Casale, D, 2017. Catch-up growth in stunted children: definitions and predictors. PloS one 12(12), e0189135.
- de Onis, M, Onyango, AW, Borghi, E, Siyam, A, Nishida, C & Siekmann, J, 2007. Development of a WHO growth reference for school-aged children and adolescents. Bulletin of the World Health Organization 85(9), 660–667.
- Diamond, A & Sekhon, JS, 2013. Genetic matching for estimating causal effects: A general multivariate matching method for achieving balance in observational studies. Review of Economics and Statistics 95(3), 932–945.
- Duflo, E, 2003. Grandmothers and granddaughters: old-age pensions and intrahousehold allocation in South Africa. The World Bank Economic Review 17(1), 1–25.
- Firpo, S, Fortin, NM & Lemieux, T, 2009. Unconditional quantile regression. Econometrica 77(3), 953–973.
- Grantham-McGregor, S, Cheung, YB, Cueto, S, Glewwe, P, Richter, L, Strupp, B & International Child Development Steering Group, 2007. Developmental potential in the first 5 years for children in developing countries. The Lancet 369(9555), 60–70.
- Grinspun, A, 2016. No small change: The multiple impacts of the Child Support Grant on child and adolescent well-being. ChildGauge, 44–54.
- Hainmueller, J, 2012. Entropy balancing for causal effects: A multivariate reweighting method to produce balanced samples in observational studies. Political Analysis 20(1), 25–46.
- Hainmueller, J & Xu, Y, 2013. Ebalance: A Stata package for entropy balancing. Journal of Statistical Software 54(7).
- Imai, K & Ratkovic, M, 2014. Covariate balancing propensity score. Journal of the Royal Statistical Society: Series B (Statistical Methodology) 76(1), 243–263.
- Kirchengast, S & Hartmann, B, 2009. The male disadvantage hypothesis reconsidered: is there really a weaker sex? An analysis of gender differences in newborn somatometrics and vital parameters. Journal of Life Sciences 1(1), 63–71.
- Lass, I & Wooden, M, 2019. The structure of the wage gap for temporary workers: evidence from Australian panel data. British Journal of Industrial Relations 57(3), 453–478.
- Oyenubi, A, 2018. Quantifying balance for casual inference: an information theoretic perspective, Doctoral dissertation, University of Cape Town.
- Oyenubi, A, 2019. Optimizing balance: the case of the South African child support grant. Proceedings of the 2019 African Review of Economics and Finance Conference 29–30 August 2019, 175–187.
- Oyenubi, A, 2020. Optimising balance using covariate balancing propensity score: The case of South African child support grant. Development Southern Africa 37(4), 570–586.
- SASSA (South African Social Security Agency) & UNICEF (United Nations Children's Fund), 2013. Preventing exclusion from the child support grant: a study of exclusion errors in accessing CSG benefits.
- Wamani, H, Åstrøm, AN, Peterson, S, Tumwine, JK & Tylleskär, T, 2007. Boys are more stunted than girls in sub-Saharan Africa: a meta-analysis of 16 demographic and health surveys. BMC Pediatrics 7(1), 17.
- Walker, SP, Chang, SM, Wright, A, Osmond, C & Grantham-McGregor, SM, 2015. Early childhood stunting is associated with lower developmental levels in the subsequent generation of children, 2. The Journal of Nutrition 145(4), 823–828.
- Wardlaw T, World Health Organization, UNICEF, editors, 2004. In low birthweight: country regional and global estimates. WHO; UNICEF, Geneva: New York.
- World Health Organization (WHO), 2006. WHO child growth standards: Length/height-for-age, weight-for-age, weight-for-length, weight-for-height and body mass index-for-age: Methods and development. World Health Organization. https://apps.who.int/iris/handle/10665/43413.
- Zere, E & McIntyre, D, 2003. Inequities in under-five child malnutrition in South Africa. International Journal for Equity in Health 2(1), 7.
- Zhang, R, Undurraga, EA, Zeng, W, Reyes-García, V, Tanner, S, Leonard, WR, Behrman, JR & Godoy, RA, 2016. Catch-up growth and growth deficits: Nine-year annual panel child growth for native Amazonians in Bolivia. Annals of Human Biology 43(4), 304–315.