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  1. Estimating gender inequalities in labor-market outcomes using mobile phone data by Seymour, Greg, Follett, Lendie, Henderson, Heath

    Published 2023
    “…Mobile phone data holds promise for contributing to slow-filling gaps about women and men’s labor. …”
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    Blog Post
  2. Farm-nonfarm labor mobility in rural Bangladesh: Intersectoral shift or intergenerational occupational choice? by Dorosh, Paul A., Sen, Binayak, van Asselt, Joanna, Ahmed, Mansur

    Published 2018
    “…The paper argues that much of the farm-nonfarm labor mobility in rural Bangladesh is in nature an intergenerational occupational choice-induced change rather than a sectoral shift within the current generation. …”
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    Artículo preliminar
  3. Can machine-learning models predict gendered labor statistics using mobile phone and geospatial data? by Seymour, Greg, Follett, Lendie, Henderson, Heath, Ferguson, Nathaniel

    Published 2024
    “…In this paper, we attempt to use mobile phone data and machine-learning models to predict gendered labor-market indicators for a large sample of mobile phone users in Ghana. …”
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    Artículo preliminar
  4. Managing mobility in African rangelands by CGIAR Program on Collective Action and Property Rights

    Published 2010
    “…In arid and semi-arid lands in Africa, pastoralists manage uncertainty and risk and access a range of markets through livestock mobility. Mobility enables opportunistic use of resources and helps minimize the effects of droughts. …”
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    Book Chapter
  5. Rural-rural migration, land and labor markets in Zambia by Chamberlin, J., Sitko, N., Jayne, T.

    Published 2018
    “…Using nationally representative survey data for Zambia, we document very high levels of rural mobility throughout the country, and show that this movement is correlated with both land and labor market conditions. …”
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    Conference Paper
  6. Assessing recall bias and measurement error in high-frequency social data collection for human-environment research by Bell, Andrew R., Ward, Patrick S., Tamal, Md. Ehsanul Haque, Killilea, Mary E.

    Published 2019
    “…We find respondents’ recall of consumption and experience (such as sick days) to suffer much more greatly than their recall of the use of their households’ time for labor and farm activities. Further, we demonstrate a feasible and cost-effective means of engaging respondents in rural areas to create and maintain a true socio-economic “baseline” to mirror similar efforts in the natural sciences.…”
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    Journal Article

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