期刊
JOURNAL OF APPLIED STATISTICS
卷 43, 期 4, 页码 674-681出版社
TAYLOR & FRANCIS LTD
DOI: 10.1080/02664763.2015.1077371
关键词
regression analysis; dummy variables; equivalency of OLS estimates; varianceheterogeneity
In a recent issue of this journal, Holgersson etal. [Dummy variables vs. category-wise models, J. Appl. Stat. 41(2) (2014), pp. 233-241, doi:10.1080/02664763.2013.838665] compared the use of dummy coding in regression analysis to the use of category-wise models (i.e. estimating separate regression models for each group) with respect to estimating and testing group differences in intercept and in slope. They presented three objections against the use of dummy variables in a single regression equation, which could be overcome by the category-wise approach. In this note, I first comment on each of these three objections and next draw attention to some other issues in comparing these two approaches. This commentary further clarifies the differences and similarities between dummy variable and category-wise approaches.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据