Heterogeneity, Measurement Error, and Misallocation: Evidence from African Agriculture
利用坦桑尼亚和乌干达的农场面板数据，区分测量误差、异质性和资源错配对生产率离散程度的影响，发现两者共同解释了大部分观测到的生产率差异。
Standard measures of productivity display enormous dispersion across farms in Africa. Crop yields and input intensities appear to vary greatly, seemingly in conflict with a model of theoretical framework for distinguishing between measurement error, unobserved heterogeneity, and potential misallocation. Using rich panel data from farms in Tanzania and Uganda, we estimate our model using a flexible specification in which we allow for several kinds of measurement error and heterogeneity. We find that measurement error and heterogeneity together account for a large fraction of the dispersion in measured productivity.