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.