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Exploring socioeconomic-related inequality in children’s cognitive achievement in Peru

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Abstract

This paper applies the concentration index to estimate socioeconomic-related inequality in language skills among children aged 5 to 15, using longitudinal data from Peru. We find the existence of socioeconomic-related inequality in language skills, starting from an early age and showing little change until adolescence, albeit dropping. The cognitive achievement regression estimates highlight the significant role of family socioeconomic status (SES) on children’s language performance. Our decomposition analysis strengthens this result, indicating parental SES as the major contributor to socioeconomic-related inequality in language skills, even after accounting for the lagged test scores. We further decompose the source of changes in socioeconomic-related inequality in language skills between ages 5 and 15, and show changes in household wealth inequality and the associated elasticity both contribute to changes in socioeconomic-related inequalities in language performance.

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References

  • Abufhele, A., Contreras, D., Puentes, E., Telias, A., Valdebenito, N.: Socioeconomic gradients in child development: evidence from a Chilean longitudinal study 2010–2017. Adv. Life Course Res. 52, 100451 (2022)

    Article  Google Scholar 

  • Almond, D., Currie, J.: Human capital development before age five. In: Handbook of Labor Economics, Number 4, pp. 1315–1486 (2011)

  • Andrabi, B.T., Das, J., Khwaja, A.I., Zajonc, T.: Do value-added estimates add value? Accounting for learning dynamics. Am. Econ. J. Appl. Econ. 3(3), 29–54 (2016)

    Article  Google Scholar 

  • Autor, D., Figlio, D., Karbownik, K., Roth, J., Wasserman, M.: Family disadvantage and the gender gap in behavioral and educational outcomes. Am. Econ. J. Appl. Econ. 11(3), 338–381 (2019)

    Article  Google Scholar 

  • Autor, D., Figlio, D., Karbownik, K., Roth, J., Wasserman, M.: Males at the tails: how socioeconomic status shapes the gender gap. Econ. J. 133(656), 3136–3152 (2023)

    Article  Google Scholar 

  • Behrman, J., Contreras, D., Palma, I., Puentes, E.: Wealth Disparities for Early Childhood Anthropometrics and Skills: Evidence from Chilean Longitudinal Data. Working Paper 17-019, Penn Institute for Economic Research, Philadelphia (2017)

  • Björklund, A., Salvanes, K.G.: Education and Family Background. Mechanisms and Policies. In: Handbook of the Economics of Education, vol. 3, pp. 201–247 (2011)

  • Blau, D.M.: The effect of income on child development. Rev. Econ. Stat. 81(2), 261–276 (1999)

    Article  Google Scholar 

  • Bouhlila, D.S.: Parents’ education and literacy skills: evidence on inequality of socioeconomic status in Arab countries. World Dev. Perspect. 5, 34–43 (2017)

    Article  Google Scholar 

  • Brooks-Gunn, J., Duncan, G.J.: The effects of Poverty on Children. Futur. Child. 7(2), 55–71 (1997)

    Article  Google Scholar 

  • Case, A., Paxson, C.: Stature and status: Height, ability, and labor market outcomes. J. Polit. Econ. 116(3), 499–532 (2008)

    Article  Google Scholar 

  • Castro, J.F., Rolleston, C.: The contribution of early childhood and schools to cognitive gaps: new evidence from Peru. Econ. Educ. Rev. 64, 144–164 (2018)

    Article  Google Scholar 

  • Chow, G.C.: Tests of equality between sets of coefficients in two linear regressions. Econometrica J. Econ. Soc. 28(3), 591–605 (1960)

    Article  Google Scholar 

  • Coleman, J.S., Campbell, E., Hobson, C., McParland, J., et al.: Equality of educational opportunity. Technical report, Office of Education, U.S. Department of Health, Education, and Welfare, Washington (1966)

  • Corak, M.: Income inequality, equality of opportunity, and intergenerational mobility. J. Econ. Perspect. 27(3), 79–102 (2013)

    Article  Google Scholar 

  • Cueto, S., León, J., Guerrero, G., Muñoz, I.G.: Psychometric characteristics of cognitive development and achievement instruments in round 2 of young lives. Technical report, Young Lives, Oxford (2009)

  • Cueto, S., Miranda, A., León, J., Cristina Vásquez, M., Vásqueze, M.C.: Education Trajectories: From Early Childhood to Early Adulthood in Peru Country Report Education Trajectories: From Early Childhood to Early Adulthood in Peru. Technical report, Young Lives, Oxford (2016). https://www.younglives.org.uk/publications/education-trajectories-early-childhood-early-adulthood-peru

  • Cunha, F., Heckman, J.: The technology of skill formation. Am. Econ. Rev. 97(2), 31–47 (2007)

    Article  Google Scholar 

  • Cunha, F., Heckman, J.J.: Formulating, identifying and estimating the technology of cognitive and noncognitive skill formation. J. Hum. Resour. 43(4), 738–782 (2008)

    Google Scholar 

  • Cunha, F., Heckman, J.J.: The Economics and Psychology of Inequality and Human Development. J. Eur. Econ. Assoc. 7(2), 320–364 (2009)

    Article  Google Scholar 

  • Cunha, F., Heckman, J.J., Lochner, L., Masterov, D.V.: Chapter 12 Interpreting the Evidence on Life Cycle Skill Formation. In: Handbook of the Economics of Education, vol. 1, pp. 697–812 (2006)

  • Das, J., Zajonc, T.: India shining and Bharat drowning: comparing two Indian states to the worldwide distribution in mathematics achievement. J. Dev. Econ. 92(2), 175–187 (2010)

    Article  Google Scholar 

  • Erreygers, G., Van Ourti, T.: Measuring socioeconomic inequality in health, health care and health financing by means of rank-dependent indices: a recipe for good practice. J. Health Econ. 30(4), 685–694 (2011)

    Article  Google Scholar 

  • Escobal, J., Flores, E.: An assessment of the young lives sampling approach in peru. Technical Report 3, Young Lives, Oxford (2008). https://ora.ouls.ox.ac.uk/objects/uuid:6b119034-a22d-4490-a7bc-4b300f5d4150

  • Fernald, A., Marchman, V.A., Weisleder, A.: SES differences in language processing skill and vocabulary are evident at 18 months. Dev. Sci. 16(2), 234–248 (2013)

    Article  Google Scholar 

  • Fernald, L.C., Kariger, P., Hidrobo, M., Gertler, P.J.: Socioeconomic gradients in child development in very young children: evidence from India, Indonesia, Peru, and Senegal. Proc. Natl. Acad. Sci. 109(2), 17273–17280 (2012)

    Article  Google Scholar 

  • Fernald, L.C., Weber, A., Galasso, E., Ratsifandrihamanana, L.: Socioeconomic gradients and child development in a very low income population: evidence from Madagascar. Dev. Sci. 14(4), 832–847 (2011)

    Article  Google Scholar 

  • Filmer, D., Pritchett, L.H.: Estimating wealth effects without expenditure data-or tears : an application to educational enrollments in States of India. Demography 38(1), 115–132 (2001)

    Google Scholar 

  • Filmer, D., Scott, K.: Assessing Asset Indices. Policy Working Paper 4605, The World Bank Development Research Group, Washington (2008)

  • Galasso, E., Weber, A., Fernald, L.C.: Dynamics of child development: analysis of a longitudinal cohort in a very low income country. World Bank Econ. Rev. 33(1), 140–159 (2019)

    Article  Google Scholar 

  • Glewwe, P., Huang, Q., Park, A.: Cognitive skills, noncognitive skills, and school-to-work transitions in rural China. J. Econ. Behav. Organ. 134, 141–164 (2017)

    Article  Google Scholar 

  • Glewwe, P., Krutikova, S., Rolleston, C.: Do schools reinforce or reduce learning gaps between advantaged and disadvantaged students? Evidence from Vietnam and Peru. Econ. Dev. Cult. Chang. 65(4), 699–739 (2017)

    Article  Google Scholar 

  • Grantham-McGregor, S., Cheung, Y.B., Cueto, S., Glewwe, P., Richter, L., Strupp, B.: Developmental potential in the first 5 years for children in developing countries. Lancet 369(9555), 60–70 (2007)

    Article  Google Scholar 

  • Hanushek, E.A., Light, J.D., Peterson, P.E., Talpey, L.M., Woessmann, L.: Long-run trends in the US SES-achievement gap. Educ. Financ. Policy 17(4), 608–640 (2022)

    Article  Google Scholar 

  • Hanushek, E.A., Peterson, P.E., Talpey, L.M., Woessmann, L.: The unwavering SES achievement gap: trends in US student performance. Working Paper 25648, National Bureau of Economic Research, Cambridge (2019)

  • Hanushek, E.A., Schwerdt, G., Wiederhold, S., Woessmann, L.: Returns to skills around the world: evidence from PIAAC. Eur. Econ. Rev. 73, 103–130 (2015)

    Article  Google Scholar 

  • Hanushek, E.A., Woessmann, L.: Role of cognitive skills in economic development. J. Econ. Lit. 46(3), 607–668 (2008)

    Article  Google Scholar 

  • Hashim, S.A., Kane, T.J., Kelley-Kemple, T., Laski, M.E., Staiger, D.O.: Have income-based achievement gaps widened or narrowed? Working Paper 27714, National Bureau of Economic Research, Cambridge (2023)

  • Heckman, J.J., Stixrud, J., Urzua, S.: The effects of cognitive and noncognitive abilities on labor market outcomes and social behavior. J. Labor Econ. 24(3), 411–482 (2006)

    Article  Google Scholar 

  • INEI: Perú: Síntesis Estadística 2016. Technical report, Instituto Nacional de Estadística e Informática, Lima (2016). https://www.inei.gob.pe/media/MenuRecursivo/publicaciones_digitales/Est/Lib1391/libro.pdf

  • Kakwani, N., Wagstaff, A., van Doorslaer, E.: Socioeconomic inequalities in health: measurement, computation, and statistical inference. J. Econ. 77(1), 87–103 (1997)

    Article  Google Scholar 

  • Leon, J., Singh, A.: Equating Test Scores for Receptive Vocabulary Across Rounds and Cohorts in Ethiopia. India and Vietnam. Technical report, Young Lives (2017)

  • Martins, L., Veiga, P.: Do inequalities in parents’ education play an important role in PISA students’ mathematics achievement test score disparities? Econ. Educ. Rev. 29(6), 1016–1033 (2010)

    Article  Google Scholar 

  • Neidhöfer, G.: Intergenerational mobility and the rise and fall of inequality: Lessons from Latin America. J. Econ. Inequal. 17(4), 499–520 (2019)

    Article  Google Scholar 

  • Nielsen, E.: The Income-Achievement Gap and Adult Outcome Inequality. J. Hum. Resour. 58(1), 0519–10220R3 (2023)

  • Oaxaca, R.: Male-female wage differentials in urban labor markets. Int. Econ. Rev. 14(3), 693–709 (1973)

    Article  Google Scholar 

  • OECD: PISA 2015 Results (Volume I): Excellence and Equity in Education. Technical report, OECD, Paris (2016). https://www.oecd-ilibrary.org/education/pisa-2015-results-volume-i_9789264266490-en

  • Outes-Leon, I., Dercon, S.: Survey attrition and attrition bias in Young Lives. Technical report 5, Young Lives (2008). http://94.126.106.9/r4d/PDF/Outputs/YoungLives/R8519-YL-TN05-Attrition.pdf

  • Pace, A., Luo, R., Hirsh-Pasek, K., Golinkoff, R.M.: Identifying pathways between socioeconomic status and language development. Ann. Rev. Linguist. 3, 285–308 (2017)

    Article  Google Scholar 

  • Paxson, C., Schady, N.: Cognitive development among young children in Ecuador: the roles of wealth, health, and parenting. J. Hum. Resour. 42(1), 49–84 (2007)

    Article  Google Scholar 

  • Reardon, S.F.: The widening academic achievement gap between the rich and the poor: New evidence and possible explanations. In: Whither opportunity?: Rising Inequality, Schools, and Children’s Life Chances, pp. 91–116. Russell Sage Foundation (2011)

  • Reynolds, S.A., Andersen, C., Behrman, J., Singh, A., Stein, A.D., Benny, L., Crookston, B.T., Cueto, S., Dearden, K., Georgiadis, A., Krutikova, S., Fernald, L.C.: Disparities in children’s vocabulary and height in relation to household wealth and parental schooling: a longitudinal study in four low- and middle-income countries. SSM - Popul. Health 3, 767–786 (2017)

    Article  Google Scholar 

  • Roemer, J.E., Trannoy, A.: Equality of opportunity: theory and measurement. J. Econ. Lit. 54(4), 1288–1332 (2016)

    Article  Google Scholar 

  • Rubio-Codina, M., Attanasio, O., Meghir, C., Varela, N., Grantham-McGregor, S.: The socioeconomic gradient of child development: cross- sectional evidence from children 6–42 months in Bogota. J. Human Res. 50(2), 464–483 (2015)

    Article  Google Scholar 

  • Sahn, D.E., Villa, K.: Labor outcomes during the transition from adolescence to adulthood: The role of personality, cognition, and shocks in Madagascar. Discussion Paper 10359, IZA, Bonn (2016)

  • Sánchez, A., Meléndez, G., Behrman, J.R.: Impact of the juntos conditional cash transfer program on nutritional and cognitive outcomes in Peru: comparison between younger and older initial exposure. Econ. Dev. Cult. Chang. 68(3), 865–897 (2020)

    Article  Google Scholar 

  • Schady, N., Behrman, J., Araujo, M.C., Azuero, R., Bernal, R., Bravo, D., Lopez-Boo, F., Macours, K., Marshall, D., Paxson, C., Vakis, R.: Wealth gradients in early childhood cognitive development in five Latin American countries. J. Hum. Resour. 50(2), 446–463 (2015)

    Article  Google Scholar 

  • Schulz, W.: Measuring the Socio-Economic Background of Students and Its Effect on Achievement on PISA 2000 and PISA 2003 (2005). Paper prepared for the Annual Meetings of the American Educational Research Association, San Francisco. https://files.eric.ed.gov/fulltext/ED493510.pdf

  • Singh, A.: Private school effects in urban and rural India: panel estimates at primary and secondary school ages. J. Dev. Econ. 113, 16–32 (2015)

    Article  Google Scholar 

  • Todd, P., Wolpin, K.I.: The production of cognitive achievement in children: home, school and racial test score gaps. J. Hum. Cap. 1(1), 91–136 (2007)

    Article  Google Scholar 

  • Todd, P.E., Wolpin, K.I.: On the specification and estimation of the production function for cognitive achievement. Econ. J. 113(485), 3–33 (2003)

    Article  Google Scholar 

  • UIS: UNESCO Institute for Statistics (2022). http://data.uis.unesco.org/?lang=fr. Accessed 12 Apr 2022

  • Van Doorslaer, E., Wagstaff, A., Bleichrodt, H., Calonge, S., Gerdtham, U.G., Gerfin, M., Geurts, J., Gross, L., Häkkinen, U., Leu, R.E., O’Donnell, O., Propper, C., Puffer, F., Rodríguez, M., Sundberg, G., Winkelhake, O.: Income-related inequalities in health: some international comparisons. J. Health Econ. 16(1), 93–112 (1997)

    Article  Google Scholar 

  • von Stumm, S., Rimfeld, K., Dale, P.S., Plomin, R.: Preschool verbal and nonverbal ability mediate the association between socioeconomic status and school performance. Child Dev. 91(3), 705–714 (2020)

    Article  Google Scholar 

  • Wagstaff, A., O’Donnell, O., Van Doorslaer, E., Lindelow, M.: Analyzing health equity using household survey data: A guide to techniques and their implementation. World Bank Publications, Washington DC (2007)

    Google Scholar 

  • Wagstaff, A., Van Doorslaer, E., Watanabe, N.: On decomposing the causes of health sector inequalities with an application to malnutrition inequalities in Vietnam. J. Econ. 112(1), 207–223 (2003)

    Article  Google Scholar 

  • Weisleder, A., Fernald, A.: Talking to children matters: early language experience strengthens processing and builds vocabulary. Psychol. Sci. 24(11), 2143–2152 (2013)

    Article  Google Scholar 

  • World Bank: World Development Report 2018 : Learning to Realize Education’s Promise. Technical report, The World Bank, Washington (2018). https://www.worldbank.org/en/publication/wdr2018

  • World Bank: World Development Indicators (2021). https://databank.worldbank.org/source/world-development-indicators. Accessed 1 June 2021

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Acknowledgements

This research is funded by National Funds of the FCT - Portuguese Foundation for Science and Technology within the project https://doi.org/10.54499/UIDB/03182/2020 and https://doi.org/10.54499/UIDB/05749/2020.

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Correspondence to Emmanuel Ngoy.

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The authors have no conflict of interest to declare. Young Lives, the dataset used in this study, is publicly available and can be downloaded upon registration at https://beta.ukdataservice.ac.uk/datacatalogue/series/series?id=2000060

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Ngoy, E., Sá, C. & Veiga, P. Exploring socioeconomic-related inequality in children’s cognitive achievement in Peru. J Econ Inequal (2024). https://doi.org/10.1007/s10888-023-09615-4

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