Aggregation without Separability: Tests of the United States and Mexican Agricultural Production Data
扩展了广义复合商品定理和检验程序，用于检验美国和墨西哥农业生产数据的一致加总。结果表明，两国的农业产出可加总为作物和牲畜两类，但加总为单一类别的证据不明确。
Abstract The generalized composite commodity theorem (GCCT) and testing procedure is extended to test for consistent aggregation of the United States and Mexican agricultural production data in each category for which earlier tests rejected homothetic separability. Nonrejected GCCT and separability hypotheses provide empirical support for aggregating all the United States agricultural outputs into as few as two categories: crops and livestock. Mexican agricultural outputs also can be aggregated into as few as two categories. Support for aggregating all outputs into a single category is ambiguous in both countries and is only provided by the GCCT.