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Comment on “Estimating the Extent of Racially Polarized Voting in Multicandidate Contests†by Bernard Grofman and Michael Migalski

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  • JEFFREY S. ZAX

    (University of Colorado at Boulder)

Abstract

Double regression figures prominently in the analysis of racially polarized voting. Grofman and Migalski attempt three extensions of this technique: the application to multimember districts, the calculation of standard errors for the parameters of interest, and validation through comparisons with seemingly unrelated regression (SUR). All three extensions fail. The first is based on an arithmetical error. The second is based on an incomplete specification of the underlying statistical model. The third is based on a mistaken application of SUR in a context in which it is guaranteed to yield the same results as the ordinary least squares estimates of double regression.

Suggested Citation

  • Jeffrey S. Zax, 2002. "Comment on “Estimating the Extent of Racially Polarized Voting in Multicandidate Contests†by Bernard Grofman and Michael Migalski," Sociological Methods & Research, , vol. 31(1), pages 75-86, August.
    • Handle: RePEc:sae:somere:v:31:y:2002:i:1:p:75-86
    DOI: 10.1177/0049124102031001003
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    References listed on IDEAS

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    1. H. D. Vinod & B. D. McCullough, 1999. "The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(2), pages 633-665, June.
    2. H. D. Vinod & B. D. McCullough, 1999. "Corrigenda: The Numerical Reliability of Econometric Software," Journal of Economic Literature, American Economic Association, vol. 37(4), pages 1565-1565, December.
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    Cited by:

    1. Bernard Grofman & Matt A. Barreto, 2009. "A Reply to Zax's (2002) Critique of Grofman and Migalski (1988)," Sociological Methods & Research, , vol. 37(4), pages 599-617, May.
    2. Baodong Liu, 2007. "EI Extended Model and the Fear of Ecological Fallacy," Sociological Methods & Research, , vol. 36(1), pages 3-25, August.

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