Do Economic Variables Follow Scale or Location‐Scale Distributions?
推广了乘法误差模型最小二乘估计偏误的已有结论，构建了检验尺度与位置-尺度假设的方法，蒙特卡洛模拟显示大样本下检验有效，并以美国小麦供给函数为例展示实证相关性。
Abstract Economics researchers often assume that random variables are drawn from distributions that are members of scale or location‐scale families of distributions. This article generalizes earlier results in the literature on the bias in least squares estimates of multiplicative error models, and uses those results to construct a test of the scale and location‐scale hypotheses. A Monte Carlo simulation shows that the test is powerful in large samples. The empirical relevance of these findings is illustrated with estimates of a supply function for U.S. wheat production. Implications for applied economics research are discussed.