Nutrition Matters: Numeracy, Child Nutrition and Schooling Efficiency in Sub-Saharan Africa in the Long Run

References

• A’Hearn, B., Baten, J., & Crayen, D. (2009). Quantifying quantitative literacy: Age heaping and the history of human capital. The Journal of Economic History, 69(3), 783–808. doi:10.1017/S0022050709001120
   Web of Science ®Google Scholar
• A’Hearn, B., Delfino, A., & Nuvolari, A. (2022). Rethinking age heaping: A cautionary tale from nineteenth-century Italy. The Economic History Review, 75(1), 111–137. doi:10.1111/ehr.13087
   Web of Science ®Google Scholar
• Ahmed, S., & Ray, R. (2018). Do in utero shocks have adverse effects on child health outcomes and can welfare schemes ameliorate such effects? Evidence from Andhra Pradesh, India. Journal of Biosocial Science, 50(6), 770–799. doi:10.1017/S0021932017000591
   PubMed Web of Science ®Google Scholar
• Aizer, A., Stroud, L., & Buka, S. (2016). Maternal stress and child outcomes. The Journal of Human Resources, 51(3), 523–555. doi:10.3386/w18422
   PubMed Web of Science ®Google Scholar
• Alderman, H., Hoddinott, J., & Kinsey, B. (2006). Long term consequences of early childhood malnutrition. Oxford Economic Papers, 58(3), 450–474. doi:10.1093/oep/gpl008
   Web of Science ®Google Scholar
• Alesina, A., Devleeschauwer, A., Easterly, W., Kurlat, S., & Wacziarg, R. (2003). Fractionalization. Journal of Economic Growth, 8(2), 155–194. doi:10.1023/A:1024471506938
   Web of Science ®Google Scholar
• Angrist, N., Djankov, S., Goldberg, P. K., & Patrinos, H. A. (2021). Measuring human capital using global learning data. Nature, 592(7854), 403–408. doi:10.1038/s41586-021-03323-7
   PubMed Web of Science ®Google Scholar
• Aurino, E., Gelli, A., Adamba, C., Osei-Akoto, I., & Alderman, H. (2020). Food for thought? Experimental evidence on the learning impacts of a large-scale schoole feeding program. Journal of Human Resources, 58(1), 74–111. doi:10.3368/jhr.58.3.1019-10515R1
   Google Scholar
• Bachi, R. (1951). The tendency to round off age returns: Measurement and correction. Bulletin of the International Statistical Institute, 33, 195–222.
   Google Scholar
• Banerjee, A., Duflo, E., Postel-Vinay, G., & Watts, T. M. (2010). Long run health impacts of income shocks: Wine and phylloxera in 19th century France. Review of Economics and Statistics, 92(4), 714–728. doi:10.1162/REST_a_00024
   Web of Science ®Google Scholar
• Barker, D. J. P. (1990). The fetal and infant origins of adult disease. British Medical Journal, 301(6761), 1111–1111. doi:10.1136/bmj.301.6761.1111
   PubMed Web of Science ®Google Scholar
• Barrios, S., Bertinelli, L., & Strobl, E. (2010). Trends in rainfall and economic growth in Africa: A neglected cause of the african growth tragedy. Review of Economics and Statistics, 92(2), 350–366. doi:10.1162/rest.2010.11212
   Web of Science ®Google Scholar
• Bashir, S., Lockheed, M., Ninan, E., & Tan, J.-P. (2018). Facing forward: Schooling for learning in Africa. Washington DC: World Bank.
   Google Scholar
• Baten, J., Benati, G., & Ferber, S. (2022). Rethinking age-heaping again for understanding its possibilities and limitations. The Economic History Review, 75(3), 960–971. doi:10.1111/ehr.13139
   Web of Science ®Google Scholar
• Baten, J., Crayen, D., & Voth, J. (2014). Numeracy and the impact of high food prices in industrializing Britain, 1780–1850. Review of Economics and Statistics, 96(3), 418–430. doi:10.1162/REST_a_00403
   Web of Science ®Google Scholar
• Baten, J., & Blum, M. (2014). Why are you tall while others are short? Agricultural production and other proximate determinants of global heights. European Review of Economic History, 18(2), 144–165. doi:10.1093/ereh/heu003
   Web of Science ®Google Scholar
• Baten, J., & de Pleijt, A. M. (2022). Female autonomy generated successful long-term human capital development: Evidence from 16th to 19th century Europe. World Development, 158, 105999. doi:10.1016/j.worlddev.2022.105999
   Web of Science ®Google Scholar
• Baten, J., & Maravall, L. (2021). The influence of colonialism on Africa’s welfare: An anthropometric study. Journal of Comparative Economics, 49(3), 751–775. doi:10.1016/j.jce.2021.01.001
   Web of Science ®Google Scholar
• Baten, J., & Nalle, S. (2022). Age heaping and life course reckoning: Individual-level evidence from Spanish inquisition records. Vierteljahrsschrift Für Sozial- Und Wirtschaftsgeschichte [Journal of Social and Economics History], 109, 337–350.
   Web of Science ®Google Scholar
• Behrman, J. R., & Rosenzweig, M. R. (2004). Returns to birthweight. Review of Economics and Statistics, 86(2), 586–601. doi:10.1162/003465304323031139
   Web of Science ®Google Scholar
• Benavides-Varela, S., Butterworth, B., Burgio, F., Arcara, G., Lucangeli, D., & Semenza, C. (2016). Numerical activities and information learned at home link to the exact numeracy skills in 5–6 years-old children. Frontiers in Psychology, 7, 94. doi:10.3389/fpsyg.2016.00094
   PubMed Web of Science ®Google Scholar
• Black, S. E., Devereux, P. J., & Salvanes, K. G. (2007). From the cradle to the labor market? The effect of birth weight on adult outcomes. The Quarterly Journal of Economics, 122(1), 409–439. doi:10.1162/qjec.122.1.409
   Web of Science ®Google Scholar
• Bryan, J., Osendarp, S., Hughes, D., Calvaresi, E., Baghurst, K., & Klinken, J.-W. (2004). Nutrients for cognitive development in school-aged children. Nutrition Reviews, 62(8), 295–306. doi:10.1111/j.1753-4887.2004.tb00055.x
   PubMed Web of Science ®Google Scholar
• Burlando, A. (2014). Transitory shocks and birth weights: Evidence from a blackout in Zanzibar. Journal of Development Economics, 108, 154–168. doi:10.1016/j.jdeveco.2014.01.012
   Web of Science ®Google Scholar
• Bwalya, B. B., Phiri, M., & Mwansa, C. (2015). Digit preference and its implications on population projections in Zambia: Evidence from the census data. International Journal of Current Advanced Research, 4, 92–97.
   Google Scholar
• Cappelli, G., & Baten, J. (2021). Numeracy development in Africa: New evidence from a long-term perspective (1730–1970). Journal of Development Economics, 150, 102630. doi:10.1016/j.jdeveco.2021.102630
   Web of Science ®Google Scholar
• Case, A., & Paxson, C. (2008). Stature and status: Height, ability, and labor market outcomes. The Journal of Political Economy, 116(3), 499–532. doi:10.1086/589524
   PubMed Web of Science ®Google Scholar
• Crayen, D., & Baten, J. (2010). Global trends in numeracy 1820–1949 and its implications for long-term growth. Explorations in Economic History, 47(1), 82–99. doi:10.1016/j.eeh.2009.05.004
   Web of Science ®Google Scholar
• Currie, J., & Rossin-Slater, M. (2013). Weathering the storm: Hurricanes and birth outcomes. Journal of Health Economics, 32(3), 487–503. doi:10.1016/j.jhealeco.2013.01.004
   PubMed Web of Science ®Google Scholar
• Currie, J., & Vogl, T. (2013). Early-life health and adult circumstance in developing countries. Annual Review of Economics, 5(1), 1–36. doi:10.1146/annurev-economics-081412-103704
   Web of Science ®Google Scholar
• Dell, M., Jones, B. F., & Olken, B. A. (2012). Temperature shocks and economic growth: Evidence from the last half century. American Economic Journal: Macroeconomics, 4(3), 66–95. doi:10.1257/mac.4.3.66
   Web of Science ®Google Scholar
• Doss, C. (2013). Intrahousehold bargaining and resource allocation in developing countries. The World Bank Research Observer, 28(1), 52–78. doi:10.1093/wbro/lkt001
   Web of Science ®Google Scholar
• Evans, D. K., & Mendez Acosta, A. (2021). Education in Africa: What are we learning? Journal of African Economies, 30(1), 13–54. doi:10.1093/jae/ejaa009
   Web of Science ®Google Scholar
• Fayehun, O., Ajayi, A. I., Onuegbu, C., & Egerson, D. (2020). Age heaping among adults in Nigeria: Evidence from the Nigeria demographic and health surveys 2003–2013. Journal of Biosocial Science, 52(1), 132–139. doi:10.1017/S0021932019000348
   PubMed Web of Science ®Google Scholar
• Ferber & Baten. (2023). Numeracy in Sub-Saharan Africa: The robustness of the ABCC-Index (Unpublished Manuscript). Germany: Faculty of Social Science and Economics, University of Tuebingen.
   Google Scholar
• Földvári, P., Van Leeuwen, B., & Van Leeuwen-Li, J. (2012). How did women count? A note on gender-specific age heaping differences in the sixteenth to nineteenth centuries 1. The Economic history review, 65(1), 304–313. doi:10.1111/j.1468-0289.2010.00582.x
   PubMed Web of Science ®Google Scholar
• Gallego, F. A., & Woodberry, R. (2010). Christian missionaries and education in former African colonies: How competition mattered. Journal of African Economies, 19(3), 294–329. doi:10.1093/jae/ejq001
   Web of Science ®Google Scholar
• Glewwe, P., & Jacoby, H. (1994). Student achievement and schooling choice in low-income countries: evidence from Ghana. The Journal of Human Resources, 29(3), 843–864. doi:10.2307/146255
   Web of Science ®Google Scholar
• Glewwe, P., & Kremer, M. (2006). Schools, teachers, and education outcomes in developing countries. In E. Hanushek & F. Welch (Eds.), Handbook of the Economics of Education (vol. 2, pp. 945–1017). Oxford and Amsterdam: Elsevier.
   Google Scholar
• Glewwe, P., Grosh, M., Jacoby, H., & Lockheed, M. (1995). An eclectic approach to estimating the determinants of achievement in Jamaican primary education. The World Bank Economic Review, 9(2), 231–258. doi:10.1093/wber/9.2.231
   Web of Science ®Google Scholar
• Hanushek, E. A., & Woessmann, L. (2008). The role of cognitive skills in economic development. Journal of Economic Literature, 46(3), 607–668. doi:10.1257/jel.46.3.607
   Web of Science ®Google Scholar
• Hanushek, E. A., & Woessmann, L. (2012). Do better schools lead to more growth? Cognitive skills, economic outcomes, and causation. Journal of Economic Growth, 17(4), 267–321. doi:10.1007/s10887-012-9081-x
   Web of Science ®Google Scholar
• Harris, I., Osborn, T. J., Jones, P., & Lister, D. (2020). Version 4 of the CRU TS monthly high-resolution gridded multivariate climate dataset. Scientific Data, 7(1), 109. doi:10.1038/s41597-020-0453-3
   PubMed Web of Science ®Google Scholar
• Hippe, R., & Baten, J. (2012). Regional inequality in human capital formation in Europe, 1790–1880. Scandinavian Economic History Review, 60(3), 254–289. doi:10.1080/03585522.2012.727763
   Google Scholar
• Hidalgo, F. D., Naidu, S., Nichter, S., & Richardson, N. (2010). Economic determinants of land invasions. Review of Economics and Statistics, 92(3), 505–523. doi:10.1162/REST_a_00007
   Web of Science ®Google Scholar
• Hsiang, S. M., Burke, M., & Miguel, E. (2013). Quantifying the influence of climate on human conflict. Science, 341(6151), 1235367. doi:10.1126/science.1235367
   PubMed Web of Science ®Google Scholar
• Hulett, J. L., Weiss, R. E., Bwibo, N. O., Galal, O. M., Drorbaugh, N., & Neumann, C. G. (2014). Animal source foods have a positive impact on the primary school test scores of Kenyan schoolchildren in a cluster-randomised, controlled feeding intervention trial. The British Journal of Nutrition, 111(5), 875–886. doi:10.1017/S0007114513003310
   PubMed Web of Science ®Google Scholar
• Knudsen, E. I. (2004). Sensitive periods in the development of the brain and behavior. Journal of Cognitive Neuroscience, 16(8), 1412–1425. doi:10.1162/0898929042304796
   PubMed Web of Science ®Google Scholar
• Kremer, M., Brannen, C., & Glennerster, R. (2013). The challenge of education and learning in the developing world. Science (New York, N.Y.), 340(6130), 297–300. doi:10.1126/science.1235350
   PubMed Web of Science ®Google Scholar
• le Nestour, A., Moscoviz, L., & Sandefur, J. (2022). The long-run decline of education quality in the developing world (Center for Global Development Working Paper No. 608). Washington, DC: Center for Global Development.
   Google Scholar
• Lee, C. (2014). Intergenerational health consequences of in utero exposure to maternal stress: Evidence from the 1980 Kwangju uprising. Social Science & Medicine, 119, 284–291. doi:10.1016/j.socscimed.2014.07.001
   PubMed Web of Science ®Google Scholar
• Leroy, J. L., Ruel, M., Habicht, J. P., & Frongillo, E. A. (2015). Using height-for-age differences (HAD) instead of height-for-age z-scores (HAZ) for the meaningful measurement of population-level catch-up in linear growth in children less than 5 years of age. BMC Pediatrics, 15(1), 145. doi:10.1186/s12887-015-0458-9
   PubMedGoogle Scholar
• Lilenstein, A. (2020). Better measures of progress: Developing reliable estimates of educational access and quality in Francophone sub-Saharan Africa (Stellenbosch Economic Working Papers WP13/2020). Stellenbosch: Department of Economics and the Bureau for Economic Research at the University of Stellenbosch.
   Google Scholar
• Lyons-Amos, M., & Stones, T. (2017). Trends in demographic and health survey data quality: An analysis of age heaping over time in 34 countries in Sub Saharan Africa between 1987 and 2015. BMC Research Notes, 10(1), 760. doi:10.1186/s13104-017-3091-x
   PubMedGoogle Scholar
• McEwan, P. J. (2015). Improving learning in primary schools of developing countries: A meta-analysis of randomized experiments. Review of Educational Research, 85(3), 353–394. doi:10.3102/0034654314553127
   Web of Science ®Google Scholar
• Meng, X., & Qian, N. (2009). The long term consequences of famine on survivors: Evidence from a unique natural experiment using China’s Great Famine (NBER Working Paper Series, No. 14917). Cambridge, MA: National Bureau of Economic Research.
   Google Scholar
• NCD Risk Factor Collaboration (NCD-RisC). (2016). A century of trends in adult human height. Elife, 5, e13410.
   PubMed Web of Science ®Google Scholar
• Niklas, F., Cohrssen, C., & Tayler, C. (2016). Improving preschoolers’ numerical abilities by enhancing the home numeracy environment. Early Education and Development, 27(3), 372–383. doi:10.1080/10409289.2015.1076676
   Web of Science ®Google Scholar
• Oreopoulos, P., Stabile, M., Walld, R., & Roos, L. L. (2008). Short-, medium-, and long-term consequences of poor infant health: An analysis using siblings and twins. Journal of Human Resources, 43(1), 88–138. doi:10.3368/jhr.43.1.88
   Web of Science ®Google Scholar
• Parker, M. E., Mosites, E., Reider, K., Ndayishimiye, N., Waring, M., Nyandimbane, G., … Matthias, D. (2015). A blinded, cluster-randomized, placebo-controlled school feeding trial in Burundi using rice fortified with iron, zinc, thiamine, and folic acid. Food and Nutrition Bulletin, 36(4), 481–492. doi:10.1177/0379572115615234
   PubMed Web of Science ®Google Scholar
• Paxson, C. H. (1992). Using weather variability to estimate the response of savings to transitory income in Thailand. The American Economic Review, 82, 15–33.
   Web of Science ®Google Scholar
• Paxson, C. H., & Schady, N. (2007). Cognitive development among young children in Ecuador. Journal of Human Resources, XLII(1), 49–84. doi:10.3368/jhr.XLII.1.49
   Google Scholar
• Prayon, V. (2014). Contributions to the discussion on the determinants of long-term human capital development in today’s developing regions (Doctoral Dissertation). University of Tuebingen. https://bibliographie.uni-tuebingen.de.
   Google Scholar
• Schlenker, W., & Lobell, D. B. (2010). Robust negative impacts of climate change on African agriculture. Environmental Research Letters, 5(1), 014010. doi:10.1088/1748-9326/5/1/014010
   Web of Science ®Google Scholar
• Stock, J. H., & Yogo, M. (2005). Asymptotic distributions of instrumental variables statistics with many instruments. In D. W. K. Andrews & J. H. Stock, Identification and inference for econometric models: Essays in honor of Thomas Rothenberg (pp. 109–120). Cambridge: Cambridge University Press.
   Google Scholar
• Stolz, Y., Baten, J., & Botelho, T. (2013). Growth effects of nineteenth-century mass migrations: “Fome Zero” for Brazil? European Review of Economic History, 17(1), 95–121. doi:10.1093/ereh/hes019
   Google Scholar
• Tan, J. P., Lane, J., & Coustere, P. (1997). Putting inputs to work in elementary schools: What can be done in the Philippines?. Economic Development and Cultural Change, 45(4), 857–879. doi:10.1086/452310
   Web of Science ®Google Scholar
• World Bank. (2022). Employment in agriculture (% of total employment) (modeled ILO estimate) – Sub-Saharan Africa. Retrieved from https://data.worldbank.org/indicator/SL.AGR.EMPL.ZS?end=2000&locations=ZG&start=1991 [last accessed 19 January 2022].
   Google Scholar