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Better tracking SDG progress with fewer resources? A call for more innovative data uses

Author

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  • Dang, Hai-Anh
  • Carletto, Calogero
  • Jolliffe, Dean

Abstract

Existing data are severely insufficient for monitoring progress on the Sustainable Development Goals (SDGs), particularly for poorer countries. While we should continue efforts to produce new, high-quality data, this approach seems not feasible for all poorer countries. We call for a more systematic use of recent innovations with techniques such as data imputation to address existing data challenges. Given some resistance to utilizing new methods for filling data gaps, efforts aiming at changing the current perception and employing a mix of new data collection and data imputation can be useful. We also note that the best and most cost-effective approach would be highly context-specific and depends on various factors such as available budget, logistical capacity, and timeline.

Suggested Citation

  • Dang, Hai-Anh & Carletto, Calogero & Jolliffe, Dean, 2024. "Better tracking SDG progress with fewer resources? A call for more innovative data uses," GLO Discussion Paper Series 1539, Global Labor Organization (GLO).
    • Handle: RePEc:zbw:glodps:1539
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    References listed on IDEAS

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    1. Altındağ, Onur & O'Connell, Stephen D. & Şaşmaz, Aytuğ & Balcıoğlu, Zeynep & Cadoni, Paola & Jerneck, Matilda & Foong, Aimee Kunze, 2021. "Targeting humanitarian aid using administrative data: Model design and validation," Journal of Development Economics, Elsevier, vol. 148(C).
    2. Hai‐Anh H. Dang & Stephane Hallegatte & Trong‐Anh Trinh, 2024. "Does global warming worsen poverty and inequality? An updated review," Journal of Economic Surveys, Wiley Blackwell, vol. 38(5), pages 1873-1905, December.
    3. Theresa Beltramo & Hai-Anh Dang & Ibrahima Sarr & Paolo Verme, 2024. "Estimating poverty among refugee populations: a cross-survey imputation exercise for Chad," Oxford Development Studies, Taylor & Francis Journals, vol. 52(1), pages 94-113, January.
    4. Chris Elbers & Jean O. Lanjouw & Peter Lanjouw, 2003. "Micro--Level Estimation of Poverty and Inequality," Econometrica, Econometric Society, vol. 71(1), pages 355-364, January.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    poverty; imputation; Sustainable Development Goals; developing countries;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • I32 - Health, Education, and Welfare - - Welfare, Well-Being, and Poverty - - - Measurement and Analysis of Poverty
    • O15 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Economic Development: Human Resources; Human Development; Income Distribution; Migration

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