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A Life-Course Perspective on Gender Differences in Cognitive Functioning in India

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  • Velamuri, Malathi
  • Onur, Ilke

Abstract

We examine gender differences in four measures of cognitive function among older individuals in India, using the 2010 pilot wave of the Longitudinal Aging Study of India (LASI) survey. We use a life-course approach and estimate the impact of circumstances in childhood, choices in adulthood and current circumstances on current cognitive functioning. Our objective is to understand the correlates of cognitive functioning in later-life more generally, and of female disadvantage in particular. We observe a female disadvantage across all cognitive measures in the raw data. Our estimates indicate that educational attainment and employment status history can account for the entire female disadvantage in verbal skills, but a sizable and significant gap remains in the other cognitive measures even after controlling for these variables. Notably, our estimates indicate that circumstances in childhood have an impact on later-life cognition. A decomposition analysis reveals that the predicted cognition gap is driven by differences in characteristics between men and women, as well as the asymmetric returns to these characteristics. We conclude that policies aimed at correcting the gender imbalance in educational outcomes may not be sufficient to close the gender gaps in cognition. In turn, this has serious implications for a rapidly aging society like India.

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  • Velamuri, Malathi & Onur, Ilke, 2014. "A Life-Course Perspective on Gender Differences in Cognitive Functioning in India," MPRA Paper 59776, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:59776
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    Cited by:

    1. Angrisani, Marco & Lee, Jinkook & Meijer, Erik, 2020. "The gender gap in education and late-life cognition: Evidence from multiple countries and birth cohorts," The Journal of the Economics of Ageing, Elsevier, vol. 16(C).
    2. Woojin Chung & Roeul Kim, 2020. "Which Occupation is Highly Associated with Cognitive Impairment? A Gender-Specific Longitudinal Study of Paid and Unpaid Occupations in South Korea," IJERPH, MDPI, vol. 17(21), pages 1-17, October.
    3. Ilke Onur & Malathi Velamuri, 2018. "The gap between self-reported and objective measures of disease status in India," PLOS ONE, Public Library of Science, vol. 13(8), pages 1-18, August.

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    Keywords

    Cognition; Gender differences; Early-life conditions; Education; Oaxaca-Blinder decomposition;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • N35 - Economic History - - Labor and Consumers, Demography, Education, Health, Welfare, Income, Wealth, Religion, and Philanthropy - - - Asia including Middle East

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