Land Measurement Bias and Its Empirical Implications: Evidence from a Validation Exercise
研究了三种土地测量方法（农民自报、GPS、罗盘绳）的差异，发现自报测量偏差导致小地块高估、大地块低估，这种非线性误差会扭曲土地规模与投入需求的关系。
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.