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Assessing the quality of education reporting in Brazilian censuses

Author

Listed:
  • Marília R. Nepomuceno

    (Max-Planck-Institut für Demografische Forschung)

  • Cássio M. Turra

    (Universidade Federal de Minas Gerais (UFMG))

Abstract

Background: In developing countries, improving access to schooling has been and remains a priority. At the same time, a growing body of research relates education to demographic variables. It is therefore essential to measure the educational variable accurately. In Brazil, although the high degree of inaccuracy in age reporting is known, previous research has neglected that problems of misreporting may affect other variables such as education. Objective: To fill this gap, we calculate mortality levels by education as implied by intercensal survivorship ratios to investigate the quality of self-reported education among adults in Brazil between the 1991 and 2000 censuses. Results: Our findings show evidence of inaccurate educational data in the censuses. Analysis by single year of schooling weakly reflects the known educational gradient in mortality. After categorization of age and years of schooling into groups, a positive relationship between education and survival does appear, although some implausible patterns remain. Contribution: This study is an important step in demonstrating and assessing potential errors in census education data in Brazil. We highlight the importance of efforts to improve the quality of data on education, particularly in countries where an educational expansion is underway and where deficiencies in data quality are a potential issue of concern.

Suggested Citation

  • Marília R. Nepomuceno & Cássio M. Turra, 2020. "Assessing the quality of education reporting in Brazilian censuses," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 42(15), pages 441-460.
    • Handle: RePEc:dem:demres:v:42:y:2020:i:15
    DOI: 10.4054/DemRes.2020.42.15
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    1. John Bongaarts & Barbara S. Mensch & Ann K. Blanc, 2017. "Trends in the age at reproductive transitions in the developing world: The role of education," Population Studies, Taylor & Francis Journals, vol. 71(2), pages 139-154, May.
    2. Susan Gustavus & Charles Nam, 1968. "Estimates of the “true” educational distribution of the adult population of the United States from 1910 to 1960," Demography, Springer;Population Association of America (PAA), vol. 5(1), pages 410-421, March.
    3. Marilia Miranda Fortes Gomes & Cássio M. Turra, 2009. "The number of centenarians in Brazil: Indirect estimates based on death certificates," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 20(20), pages 495-502.
    4. Lutz, Wolfgang & Butz, William P. & KC, Samir (ed.), 2014. "World Population and Human Capital in the Twenty-First Century," OUP Catalogue, Oxford University Press, number 9780198703167.
    5. repec:fth:prinin:419 is not listed on IDEAS
    6. Mackenbach, J.P. & Kunst, A.E. & Groenhof, F. & Borgan, J.-K. & Costa, G. & Faggiano, F. & Józan, P. & Leinsalu, M. & Martikainen, P. & Rychtarikova, J. & Valkonen, T., 1999. "Socioeconomic inequalities in mortality among women and among men: An international study," American Journal of Public Health, American Public Health Association, vol. 89(12), pages 1800-1806.
    7. Thomas J. Kane & Cecilia E. Rouse & Douglas Staiger, 1999. "Estimating Returns to Schooling When Schooling is Misreported," Working Papers 798, Princeton University, Department of Economics, Industrial Relations Section..
    8. Luis Rosero-Bixby & William H. Dow, 2009. "Surprising SES Gradients in Mortality, Health, and Biomarkers in a Latin American Population of Adults," The Journals of Gerontology: Series B, The Gerontological Society of America, vol. 64(1), pages 105-117.
    9. John Bongaarts, 2010. "The causes of educational differences in fertility in Sub-Saharan Africa," Vienna Yearbook of Population Research, Vienna Institute of Demography (VID) of the Austrian Academy of Sciences in Vienna, vol. 8(1), pages 31-50.
    10. Battistin, Erich & De Nadai, Michele & Sianesi, Barbara, 2014. "Misreported schooling, multiple measures and returns to educational qualifications," Journal of Econometrics, Elsevier, vol. 181(2), pages 136-150.
    11. Joseph E. Potter & Carl P. Schmertmann & Renato M. Assunção & Suzana M. Cavenaghi, 2010. "Mapping the Timing, Pace, and Scale of the Fertility Transition in Brazil," Population and Development Review, The Population Council, Inc., vol. 36(2), pages 283-307, June.
    12. Wolfgang Lutz & Endale Kebede, 2018. "Education and Health: Redrawing the Preston Curve," Population and Development Review, The Population Council, Inc., vol. 44(2), pages 343-361, June.
    13. Vanessa di Lego & Cássio M. Turra & Cibele Cesar, 2017. "Mortality selection among adults in Brazil: The survival advantage of Air Force officers," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 37(41), pages 1339-1350.
    14. Thomas J. Kane & Cecilia Rouse & Douglas Staiger, 1999. "Estimating Returns to Schooling When Schooling is Misreported," Working Papers 798, Princeton University, Department of Economics, Industrial Relations Section..
    15. Marília R. Nepomuceno & Cássio M. Turra, 2020. "The Population of Centenarians in Brazil: Historical Estimates from 1900 to 2000," Population and Development Review, The Population Council, Inc., vol. 46(4), pages 813-833, December.
    16. Black, Dan & Sanders, Seth & Taylor, Lowell, 2003. "Measurement of Higher Education in the Census and Current Population Survey," Journal of the American Statistical Association, American Statistical Association, vol. 98, pages 545-554, January.
    17. Elisenda Rentería & Cassio M. Turra, 2009. "Measuring educational differences in mortality among women living in highly unequal societies with defective data: the case of Brazil," Textos para Discussão Cedeplar-UFMG td348, Cedeplar, Universidade Federal de Minas Gerais.
    18. John Folger & Charles Nam, 1964. "Educational trends from census data," Demography, Springer;Population Association of America (PAA), vol. 1(1), pages 247-257, March.
    19. Shkolnikov, Vladimir M. & Jasilionis, Domantas & Andreev, Evgeny M. & Jdanov, Dmitri A. & Stankuniene, Vladislava & Ambrozaitiene, Dalia, 2007. "Linked versus unlinked estimates of mortality and length of life by education and marital status: Evidence from the first record linkage study in Lithuania," Social Science & Medicine, Elsevier, vol. 64(7), pages 1392-1406, April.
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    1. José Henrique Costa Monteiro da Silva & Everton Emanuel Campos de Lima & Maria Coleta Ferreira Albino de Oliveira, 2022. "Educational pairings and fertility decline in Brazil: An analysis using cohort fertility," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 46(6), pages 147-178.

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    More about this item

    Keywords

    census data; data quality; Brazil; adult mortality; education misreporting; developing countries;
    All these keywords.

    JEL classification:

    • J1 - Labor and Demographic Economics - - Demographic Economics
    • Z0 - Other Special Topics - - General

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