Land Measurement Bias and Its Empirical Implications: Evidence from a Validation Exercise.

We investigate how land size measurements vary across three land measurement methods (farmer estimated, GPS, and compass-and-rope) and the effect of land measurement error on the inverse farm size relationship and input demand functions. Our findings indicate that self-reported measurement bias lead...

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Publicado en:Economic Development & Cultural Change Vol. 67; no. 3; pp. 595 - 625
Autores principales: Dillon, Andrew, Gourlay, Sydney, McGee, Kevin, Oseni, Gbemisola
Formato: Artículo
Publicado: University of Chicago Press Apr2019
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2019
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      pub: University of Chicago Press
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        10.1086/698309
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        atl: Land Measurement Bias and Its Empirical Implications: Evidence from a Validation Exercise.
      aug:
        au:
          Dillon, Andrew
          Gourlay, Sydney
          McGee, Kevin
          Oseni, Gbemisola
        affil:
          Northwestern University
          World Bank
      su:
        Land use
        Economic demand
        Housekeeping
        Farm size
        Fertilizers
      sug:
        subj:
          Land use
          Economic demand
          Housekeeping
          Fertilizer (Mixing Only) Manufacturing
          Nitrogenous Fertilizer Manufacturing
          Phosphatic Fertilizer Manufacturing
          Chemical fertilizer (except potash) manufacturing
          Soil Preparation, Planting, and Cultivating
          Agricultural chemical and other farm supplies merchant wholesalers
          Farm Supplies Merchant Wholesalers
          Janitorial services (except window cleaning)
          Janitorial Services
          Farm size
          Fertilizers
      ab: We investigate how land size measurements vary across three land measurement methods (farmer estimated, GPS, and compass-and-rope) and the effect of land measurement error on the inverse farm size relationship and input demand functions. Our findings indicate that self-reported measurement bias leads to overreporting for small plots and underreporting for large plots. The error is nonlinear, is not resolved by trimming of outliers, and results in biased estimates of the inverse land size relationship. Input demand functions that rely on self-reported land measures underestimate the effect of land on input utilization, including fertilizer and household labor.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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