The generalized composite commodity theorem: Stronger support in the presence of data limitations

• 成果类型: Article
• 署名作者: Davis, GC
• 署名单位: Texas A&M University System; Texas A&M University College Station
• 刊物名称: REVIEW OF ECONOMICS AND STATISTICS
• ISSN/ISSBN: 0034-6535
• DOI: 10.1162/rest.2003.85.2.476
• 发表日期: 2003-05
• 页码: 476-480
• 关键词: bonferroni procedure; multiple tests; cointegration; separability; aggregation

摘要

Because of common data limitations, the existing testing framework for the generalized composite commodity theorem (Lewbel, 1996) is incomplete. This note clarifies and strengthens the testing procedure by implementing modified Bonferroni procedures. The conditions are established for consistency between the existing and modified Bonferroni tests. In an empirical application, the Bonferroni tests provide more powerful support for the generalized composite commodity theorem than is obtained from the existing test.