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Does it matter who you ask for time-use data?

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  • Deepti Sharma
  • Hema Swaminathan
  • Rahul Lahoti

Abstract

Time-use statistics are sensitive to measurement error, especially errors that might be introduced based on whether the informant is reporting on herself or reporting on others in the household. In this paper, we use the nationally representative time-use survey in India and propensity score matching methods to investigate how self- and proxy reporting impact the reported time spent on various activities by men and women. Theoretically, we examine the mechanisms underpinning the differences in reporting and empirically test our hypothesis.

Suggested Citation

  • Deepti Sharma & Hema Swaminathan & Rahul Lahoti, 2024. "Does it matter who you ask for time-use data?," WIDER Working Paper Series wp-2024-1, World Institute for Development Economic Research (UNU-WIDER).
  • Handle: RePEc:unu:wpaper:wp-2024-1
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    File URL: https://www.wider.unu.edu/sites/default/files/Publications/Working-paper/PDF/wp2024-1-does-it-matter-who-you-ask-for-time-use-data.pdf
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    References listed on IDEAS

    as
    1. Talip Kilic & Thomas Pave Sohnesen, 2019. "Same Question But Different Answer: Experimental Evidence on Questionnaire Design's Impact on Poverty Measured by Proxies," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 65(1), pages 144-165, March.
    2. Emily Oster, 2019. "Unobservable Selection and Coefficient Stability: Theory and Evidence," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 37(2), pages 187-204, April.
    3. Hasanbasri,Ardina Roosiany & Kilic,Talip & Koolwal,Gayatri B. & Moylan,Heather G., 2021. "Individual Wealth and Time Use : Evidence from Cambodia," Policy Research Working Paper Series 9765, The World Bank.
    4. Fletcher, Erin K. & Pande, Rohini & Moore, Charity Troyer, 2019. "Women and Work in India: Descriptive Evidence and a Review of Potential Policies," India Policy Forum, National Council of Applied Economic Research, vol. 15(1), pages 149-216.
    5. Abay, Kibrom A. & Barrett, Christopher B. & Kilic, Talip & Moylan, Heather & Ilukor, John & Vundru, Wilbert Drazi, 2023. "Nonclassical measurement error and farmers’ response to information treatment," Journal of Development Economics, Elsevier, vol. 164(C).
    6. J. Gimenez-Nadal & Jose Molina, 2014. "Regional unemployment, gender, and time allocation of the unemployed," Review of Economics of the Household, Springer, vol. 12(1), pages 105-127, March.
    7. Juan Carlos Campaña & Jose Ignacio Giménez-Nadal & José Alberto Molina, 2018. "Gender Norms and the Gendered Distribution of Total Work in Latin American Households," Feminist Economics, Taylor & Francis Journals, vol. 24(1), pages 35-62, January.
    8. Greg Seymour & Hazel Malapit & Agnes Quisumbing, 2020. "Measuring Time Use in Developing Country Agriculture: Evidence from Bangladesh and Uganda," Feminist Economics, Taylor & Francis Journals, vol. 26(3), pages 169-199, July.
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