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Measurement Error in Access to Markets

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  • Javier Escobal
  • Sonia Laszlo

Abstract

Microeconometric studies increasingly utilize travel times to markets as a determinant of economic behaviour. These studies typically use self‐reported measures from surveys, often characterized by measurement error. This paper is the first validation study of access to markets data. 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, 2008. "Measurement Error in Access to Markets," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 70(2), pages 209-243, April.
    • Handle: RePEc:bla:obuest:v:70:y:2008:i:2:p:209-243
    DOI: 10.1111/j.1468-0084.2007.00491.x
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    2. 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.
    3. 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, vol. 22(2), pages 217-241, September.
    4. repec:lic:licosd:41819 is not listed on IDEAS
    5. 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.
    6. 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.
    7. 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, vol. 22(2), pages 217-241, September.
    8. 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).
    9. Laszlo, Sonia, 2008. "Education, Labor Supply, and Market Development in Rural Peru," World Development, Elsevier, vol. 36(11), pages 2421-2439, November.
    10. 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.
    11. Batarce, Marco, 2024. "Estimation of discrete choice models with error in variables: An application to revealed preference data with aggregate service level variables," Transportation Research Part B: Methodological, Elsevier, vol. 185(C).
    12. 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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    • O - Economic Development, Innovation, Technological Change, and Growth
    • P - Political Economy and Comparative Economic Systems

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