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Gendered Impacts of the COVID-19 in Mongolia: results from big data research

Author

Listed:
  • Otgontugs Banzragch

    (National University of Mongolia, Ulaanbaatar, Mongolia)

  • Manlaibaatar Zagdbazar

    (Economic Research Institute of Mongolia, Ulaanbaatar, Mongolia)

  • Uyanga Gankhuyag

    (UNDP Asia and Pacific Regional Hub, Bangkok, Thailand)

  • Delgernaran Tumurtogoo

    (UNDP office in Mongolia, Ulaanbaatar, Mongolia)

  • Amarbal Avirmed

    (National Statistics Office of Mongolia, Ulaanbaatar, Mongolia)

  • Davaajargal Davaatsersen

    (National Statistics Office of Mongolia, Ulaanbaatar, Mongolia)

  • Undral Lkhagva

    (National Statistics Office of Mongolia, Ulaanbaatar, Mongolia)

  • Ouyntsetseg Mashir

    (National Statistics Office of Mongolia, Ulaanbaatar, Mongolia)

  • Ganbayar Javkhlan

    (Ministry of Finance of Mongolia, Ulaanbaatar, Mongolia)

  • Batbileg Tumur

    (Information and Technology Center of Custom, Taxation and Finance, Ulaanbaatar, Mongolia)

  • Aruinbat Galbat

    (Information and Technology Center of Custom, Taxation and Finance, Ulaanbaatar, Mongolia)

Abstract

Based on the big data sample, we found that during the first year of Covid-19, although per month, per person expenditures of female-headed households were higher, on average, compared with male-headed households in Mongolia, but it is not because of the gender of the household head, but because these heads of households on average have more education, smaller household sizes, and living more in urban areas. They also register their expenditures in the VAT e-receipts system more consistently, which means that male-headed households' expenditures are underestimated. Overall, expenditure of both male- and female-headed households has increased in 2020 compared with 2019, while poverty slightly declined. The major reasons for expenditure increase and poverty decline in 2020 a rapid rollout of a fiscal stimulus with a sizable social protection component.

Suggested Citation

  • Otgontugs Banzragch & Manlaibaatar Zagdbazar & Uyanga Gankhuyag & Delgernaran Tumurtogoo & Amarbal Avirmed & Davaajargal Davaatsersen & Undral Lkhagva & Ouyntsetseg Mashir & Ganbayar Javkhlan & Batbil, 2022. "Gendered Impacts of the COVID-19 in Mongolia: results from big data research," Population and Economics, ARPHA Platform, vol. 6(4), pages 123-145, December.
  • Handle: RePEc:arh:jpopec:v:6:y:2022:i:4:p:123-145
    DOI: 10.3897/popecon.6.e86434
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