• Corpus ID: 51829045

EXIT POLLING AND RACIAL BLOC VOTING: COMBINING INDIVIDUAL-LEVEL AND R × C ECOLOGICAL DATA BY D. JAMES GREINER

@inproceedings{Greiner2010EXITPA,
  title={EXIT POLLING AND RACIAL BLOC VOTING: COMBINING INDIVIDUAL-LEVEL AND R × C ECOLOGICAL DATA BY D. JAMES GREINER},
  author={D. James Greiner and Kevin M. Quinn},
  year={2010}
}
Despite its shortcomings, cross-level or ecological inference remains a necessary part of some areas of quantitative inference, including in United States voting rights litigation. Ecological inference suffers from a lack of identification that, most agree, is best addressed by incorporating individuallevel data into the model. In this paper we test the limits of such an incorporation by attempting it in the context of drawing inferences about racial voting patterns using a combination of an… 
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