Household Survey Data and Pricing Policies in Developing Countries

In recent years, household survey data from developing countrieshave increasingly become available and have been increasinglyused to cast light on important questions of policy. The reformof prices, whether agricultural prices, consumer taxes, subsidies,or tariffs, has consequences for individual welfare and forgovernment revenues, and these can be investigated empiricallywith household survey data. The gainers and losers from pricechanges can be identified, and the magnitudes of their gainsand losses measured. Nonparametric estimation techniques providea straightforward and convenient way of displaying this information.The procedure is illustrated for the effects of rice pricingin Thailand using data from more than five thousand rural households.Estimates of the revenue effects of price reforms are harderto obtain, because they require estimates of supply and demandelasticities, estimates that are not easily obtained for manydeveloping countries. A procedure is presented for estimatingprice elasticities of demand from spatial price variation asrecorded in household survey data. The main innovations liein the appropriate treatment of quality variations and measurementerror. Applications of the procedure in Côte d'lvoire,Indonesia, and Morocco are reviewed.