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Cross-Contamination in EI-R: Reply

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  • Herron, Michael C.
  • Shotts, Kenneth W.

Abstract

We address in Herron and Shotts (2003; hereinafter HS) an increasingly common statistical practice called EI-R, in which point estimates generated by the King (1997) ecological inference technique are used as dependent variables in second-stage linear regressions. Although HS argue that EI-R slope estimates are inconsistent and suffer from attenuation bias, this characterization of EI-R is excessively conservative. Indeed, we show here that EI-R estimates can suffer from sign reversals, attenuation bias, and augmentation bias, that inference based on these estimates can be misleading, and that EI-R is unfixable and should not be used.

Suggested Citation

  • Herron, Michael C. & Shotts, Kenneth W., 2003. "Cross-Contamination in EI-R: Reply," Political Analysis, Cambridge University Press, vol. 11(1), pages 77-85, January.
    • Handle: RePEc:cup:polals:v:11:y:2003:i:01:p:77-85_01
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