CANADA DIVIDED: THE OPTIMAL DIVISION OF AN ECONOMY INTO REGIONS
提出一种将小区域合并为大区域的最优方法，以最小化投入产出模型中的加总误差，并以加拿大为例验证该方法优于统计局的划分和传统启发式方法。
ABSTRACT We develop an objective methodology for forming large regions (called macroregions) from small regions (microregions). We observe that the aggregation of microregions in an interregional input‐output model causes aggregation error in the model. Our optimal regions are those that cause aggregation error to be minimized. We apply our methodology to Canada, and we compare our optimal regions for Canada to those of Statistics Canada and to those obtained using the well‐known heuristic of Kossov. Statistics Canada's regions as well as those produced using Kossov's technique are characterized by substantially greater aggregation error than are those produced with our methodology.