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文章基本信息

  • 标题:Econometric Computing Issues with Logit Regression Models: The Case of Observation-Specific and Group Dummy Variables
  • 作者:Steven B. Caudill ; Franklin G. Mixon ; Jr.
  • 期刊名称:Journal of Computations & Modelling
  • 印刷版ISSN:1792-7625
  • 电子版ISSN:1792-8850
  • 出版年度:2013
  • 卷号:3
  • 期号:3
  • 出版社:Scienpress Ltd
  • 摘要: Our study extends work on econometric computing issues in logit regression models by focusing on observation-specific and group dummy variables, wherein all or nearly all of the members of the group are associated with the same value for y , rather than the case of continuous regressors. To make our case, we employ a small data set from a previously published study. Lastly, we explore, using various econometric software packages, several prescriptions for dealing with these issues.
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