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Estimating local poverty measures using satellite images : a pilot application to Central America

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  • Klemens,Ben
  • Coppola,Andrea
  • Shron,Max

Abstract

Several studies have used satellite measures of human activity to complement measures of economic production. This paper builds on those studies by considering satellite measures for improving poverty measures. The paper uses local-scale census and survey data from Guatemala to test at how fine a scale satellite measures are useful. Results show that supplementing survey data with satellite data leads to improvements in the estimates.

Suggested Citation

  • Klemens,Ben & Coppola,Andrea & Shron,Max, 2015. "Estimating local poverty measures using satellite images : a pilot application to Central America," Policy Research Working Paper Series 7329, The World Bank.
    • Handle: RePEc:wbk:wbrwps:7329
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    References listed on IDEAS

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    1. de la Grandville,Olivier, 2009. "Economic Growth," Cambridge Books, Cambridge University Press, number 9780521898010, December.
    2. Maxim Pinkovskiy & Xavier Sala-i-Martin, 2014. "Lights, Camera,... Income!: Estimating Poverty Using National Accounts, Survey Means, and Lights," NBER Working Papers 19831, National Bureau of Economic Research, Inc.
    3. Bhattacharya, Haimanti & Innes, Robert, 2006. "Is There a Nexus between Poverty and Environment in Rural India?," 2006 Annual meeting, July 23-26, Long Beach, CA 21201, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    4. J. Vernon Henderson & Adam Storeygard & David N. Weil, 2012. "Measuring Economic Growth from Outer Space," American Economic Review, American Economic Association, vol. 102(2), pages 994-1028, April.
    5. de la Grandville,Olivier, 2009. "Economic Growth," Cambridge Books, Cambridge University Press, number 9780521725200, December.
    6. Xavier Sala-i-Martin & Maxim Pinkovskiy, 2010. "African Poverty is Falling...Much Faster than You Think!," NBER Working Papers 15775, National Bureau of Economic Research, Inc.
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    Cited by:

    1. Paul Minard, 2020. "Is China’s regional inequality ethnic inequality?," Letters in Spatial and Resource Sciences, Springer, vol. 13(3), pages 297-314, December.
    2. Mitnik, Oscar A. & Sanchez, Raul & Yañez, Patricia, 2018. "Bright Investments: Measuring the Impact of Transport Infrastructure Using Luminosity Data in Haiti," IDB Publications (Working Papers) 28, Inter-American Development Bank.
    3. Francis Rathinam & Sayak Khatua & Zeba Siddiqui & Manya Malik & Pallavi Duggal & Samantha Watson & Xavier Vollenweider, 2021. "Using big data for evaluating development outcomes: A systematic map," Campbell Systematic Reviews, John Wiley & Sons, vol. 17(3), September.
    4. Paul Minard, 2020. "Institutions and China's comparative development," Papers 2001.02804, arXiv.org.
    5. Thomas Ferreira, 2018. "Using satellite data to track socio-economic outcomes: a case study of Namibia," Working Papers 12/2018, Stellenbosch University, Department of Economics.

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