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Do referrals improve the representation of women in mobile phone surveys?

Author

Listed:
  • Glazerman, Steven
  • Grépin, Karen A.
  • Mueller, Valerie
  • Rosenbaum, Michael
  • Wu, Nicole

Abstract

Random digit dial surveys with mobile phones risk under-representation of women. To address this, we compare the characteristics of women recruited directly with those of women recruited through referrals from male household members. The referral process improves representation of vulnerable groups, such as young women, the asset poor, and those living in areas with low connectivity. Among mobile phone users, we show a referral (rather than a direct dial) protocol includes more nationally representative proportions of women with these attributes. While seeking intra-household referrals may improve representation, we show that it does so at a higher cost.

Suggested Citation

  • Glazerman, Steven & Grépin, Karen A. & Mueller, Valerie & Rosenbaum, Michael & Wu, Nicole, 2023. "Do referrals improve the representation of women in mobile phone surveys?," Journal of Development Economics, Elsevier, vol. 162(C).
    • Handle: RePEc:eee:deveco:v:162:y:2023:i:c:s0304387823000329
    DOI: 10.1016/j.jdeveco.2023.103077
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    References listed on IDEAS

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    1. Abigail R Greenleaf & Aliou Gadiaga & Georges Guiella & Shani Turke & Noelle Battle & Saifuddin Ahmed & Caroline Moreau, 2020. "Comparability of modern contraceptive use estimates between a face-to-face survey and a cellphone survey among women in Burkina Faso," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-15, May.
    2. Gourlay, Sydney & Kilic, Talip & Martuscelli, Antonio & Wollburg, Philip & Zezza, Alberto, 2021. "Viewpoint: High-frequency phone surveys on COVID-19: Good practices, open questions," Food Policy, Elsevier, vol. 105(C).
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    Citations

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    Cited by:

    1. Beegle, Kathleen & Dillon, Andrew & Karlan, Dean & Udry, Christopher, 2024. "Introduction to the journal of development economics special issue on methods and measurement," Journal of Development Economics, Elsevier, vol. 170(C).
    2. Valerie Mueller & Camila Páez-Bernal & Clark Gray & Karen Grépin, 2023. "The Gendered Consequences of COVID-19 for Internal Migration," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 42(4), pages 1-37, August.

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    More about this item

    Keywords

    Gender representation; Mobile phone surveys; Referral; Survey methods;
    All these keywords.

    JEL classification:

    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination

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