Discovering hidden statistical issues through individual-level models in ecological studies

  • Kim, Soeun
  • Lee, Woojoo
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초록

In ecological studies, individual inference is made based on results from ecological models. Interpretation of the results requires caution since ecological analysis on group level may not hold in the individual level within the groups, leading to ecological fallacy. Using an ecological regression example for analyzing voting behaviors, we highlight that the explicit use of individual-level models is crucial in understanding the results of ecological studies. In particular, we clarify three relevant statistical issues for each individual-level models: assessment of the uncertainty of parameter estimates obtained from a wrong model, the use of shrinkage estimation method for simultaneous estimation of many parameters, and the necessity of sensitivity analysis rather than adhering to one seemingly most compelling assumption.

키워드

Ecological biasecological regressionindividual-level modelsvoting behaviorsensitivity analysisINFERENCEREGRESSIONBEHAVIORBIAS
제목
Discovering hidden statistical issues through individual-level models in ecological studies
저자
Kim, SoeunLee, Woojoo
DOI
10.1080/02664763.2019.1601687
발행일
2019-10-26
유형
Article
저널명
Journal of Applied Statistics
46
14
페이지
2540 ~ 2552