美国地区记分卡:比较美国各地区选定的经济变量

J. Ojih
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引用次数: 0

摘要

本文对美国四个主要地区的一些关键经济变量的差异模式进行了研究。这四个地区包括:东北部、中西部、南部和西部。将美国各州划分为这四个地区是根据美国人口普查局和美国商务部的分类。本研究主要探讨两点。第一篇研究并总结了这四个地区各州变量的描述性统计数据。这些变量和数据是从美国人口普查局、经济分析局、美国商务部、劳工统计局、世界人口评论和美国农业部的数据库中挑选出来的。第二部分涵盖了识别四个区域对识别变量的相似性和差异性。单因素方差分析(ANOVA)是检验四个区域均值相等假设的统计工具。为了确定排名最高的区域是否真的与其他区域以及其他区域不同,研究人员使用了多种比较程序,特别是舍夫测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
U.S. Regional Scorecard: Comparing U.S. Regions for Selected Economic Variables
In this paper, the patterns of differences of some key economic variables among the four major U.S. regions are investigated. These four regions include: Northeast, Midwest, South and West. The grouping of individual U.S. states into these four regions is in accordance with the U.S. Census Bureau and the U.S. Department of Commerce classification. Two main points are explored in this study. The first one examined and summarized the descriptive statistics of the variables for states in these four regions. These variables and data were culled from the databases of U.S. Census Bureau, the Bureau of Economic Analysis (BEA), the U.S. Department of Commerce, the Bureau of Labor Statistics, World Population Review and the U.S Department of Agriculture. The second one covered the identification of the four regions’ similarities and dissimilarities for the identified variables. One-way analysis of variance (ANOVA) is the statistical tool for the testing hypothesis of four regions’ means equality. To ascertain whether the regions that ranked the highest actually differ from another and from the remaining regions, the researcher made use of multiple comparison procedures, specifically the Scheffe test.
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