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Measurement Error in Access to Markets

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  • Javier Escobal

    (GRADE)

  • Sonia Laszlo

    (McGill University)

Abstract

Studies in the microeconometric literature increasingly utilize distance to or time to reach markets or social services as determinants of economic issues. These studies typically use self-reported measures from survey data, often characterized by non-classical measurement error. This paper is the first validation study of access to markets data. New and unique data from Peru allow comparison of self-reported variables with scientifically calculated variables. We investigate the determinants of the deviation between imputed and self-reported data and show that it is non-classical and dependent on observable socio-economic variables. Our results suggest that studies using self-reported measures of access may be estimating biased effects.

Suggested Citation

  • Javier Escobal & Sonia Laszlo, 2005. "Measurement Error in Access to Markets," Development and Comp Systems 0503008, University Library of Munich, Germany.
  • Handle: RePEc:wpa:wuwpdc:0503008
    Note: Type of Document - pdf; pages: 35
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    References listed on IDEAS

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    Cited by:

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    2. Joachim De Weerdt & John Gibson & Kathleen Beegle, 2020. "What Can We Learn from Experimenting with Survey Methods?," Annual Review of Resource Economics, Annual Reviews, vol. 12(1), pages 431-447, October.
    3. Carletto, Calogero & Savastano, Sara & Zezza, Alberto, 2013. "Fact or artifact: The impact of measurement errors on the farm size–productivity relationship," Journal of Development Economics, Elsevier, vol. 103(C), pages 254-261.
    4. Aparajita Dasgupta, 2018. "Systematic measurement error in self-reported health: is anchoring vignettes the way out?," IZA Journal of Migration and Development, Springer;Forschungsinstitut zur Zukunft der Arbeit GmbH (IZA), vol. 8(1), pages 1-30, December.
    5. John Gibson & David McKenzie, 2007. "Using Global Positioning Systems in Household Surveys for Better Economics and Better Policy," The World Bank Research Observer, World Bank Group, vol. 22(2), pages 217-241, September.
    6. Banick, Robert & Heyns, Andries M. & Regmi, Suraj, 2021. "Evaluation of rural roads construction alternatives according to seasonal service accessibility improvement using a novel multi-modal cost-time model: A study in Nepal's remote and mountainous Karnali," Journal of Transport Geography, Elsevier, vol. 93(C).
    7. Laszlo, Sonia, 2008. "Education, Labor Supply, and Market Development in Rural Peru," World Development, Elsevier, vol. 36(11), pages 2421-2439, November.
    8. John Gibson & Xiangzheng Deng & Geua Boe-Gibson & Scott Rozelle & Jikun Huang, 2008. "Which Households Are Most Distant from Health Centers in Rural China? Evidence from a GIS Network Analysis," Working Papers in Economics 08/19, University of Waikato.
    9. Muganga Kizito, Andrew & Kato, Edward, 2018. "Does linking farmers to markets work? Evidence from the World Food Programme’s Purchase for Progress satellite collection points initiative in Uganda," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 13(2), June.
    10. John Gibson & David McKenzie, 2007. "Using Global Positioning Systems in Household Surveys for Better Economics and Better Policy," The World Bank Research Observer, World Bank Group, vol. 22(2), pages 217-241, September.
    11. Carletto,Calogero & Gourlay,Sydney & Winters,Paul Conal & Carletto,Calogero & Gourlay,Sydney & Winters,Paul Conal, 2013. "From guesstimates to GPStimates : land area measurement and implications for agricultural analysis," Policy Research Working Paper Series 6550, The World Bank.

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    • P - Political Economy and Comparative Economic Systems

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