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

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  • Soeun Kim
  • Woojoo Lee

Abstract

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.

Suggested Citation

  • Soeun Kim & Woojoo Lee, 2019. "Discovering hidden statistical issues through individual-level models in ecological studies," Journal of Applied Statistics, Taylor & Francis Journals, vol. 46(14), pages 2540-2552, October.
    • Handle: RePEc:taf:japsta:v:46:y:2019:i:14:p:2540-2552
    DOI: 10.1080/02664763.2019.1601687
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    Cited by:

    1. Salman Cheema & Eric J. Beh & Irene L. Hudson, 2024. "How Informative Is the Marginal Information in a 2 × 2 Table for Assessing the Association Between Variables? The Aggregate Informative Index," Mathematics, MDPI, vol. 12(23), pages 1-15, November.

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