For many research problems in developing countries, some information on prices faced by households is required, for example if subsistence consumption is a substantial part of consumption. These prices are not readily available from household surveys, and at times they are not easily observed, for example if markets are thin and systematic price information can only be observed from markets some distance away from communities. Furthermore, quantities consumed and produced are often in local units presenting further problems for the analysis. We provide an econometric approach to estimate prices and quantity conversion factors from household expenditure data, using data from rural Ethiopia to illustrate the approach. In an application, we show that the conclusions about poverty changes over time are significantly affected by using alternative strategies to convert local units and to value subsistence consumption. We find in our case that mean unit values result in the overestimation of prices due to outliers and other sources of measurement error. Exogenous consumer price sources, often collected at larger markets outside the village, tend to give slightly lower values than our estimates.
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