THE ROLE OF ERROR STRUCTURE IN SIMULATIONS ON REGIONAL INPUT‐OUTPUT ANALYSIS*
指出以往区域投入产出模拟实验中使用的乘法误差结构可能使结果有偏，引入一种结合乘法和加法分量的新误差结构，通过随机生成模型模拟发现结果对两种误差分量的相对大小和模型闭合方式敏感。
ABSTRACT Previous simulation experiments on regional input‐output analysis have concluded that regional purchase coefficients are more important than technical coefficients in contributing to multiplier accuracy. This paper shows that the multiplicative error structure used in those experiments may have biased the results. A new error structure, combining a multiplicative and an additive component is introduced, and simulations are conducted on randomly generated models. The analysis shows that the results are sensitive to the relative magnitudes of the two error components, as well as to the closure of the model.