Race is usually defined as an individual attribute fixed at birth and is employed by researchers as a variable with potential for causing change in some other aspect of that same individual. When an individual's race can change (as in Brazil), race is not an attribute but a dynamic characteristic dependent on other social circumstances. In the United States, an individual's race cannot change and thus is considered an individual attribute. As such, social statisticians may have measured racial classification correctly. The major error is in how race has been interpreted. The author suggests a new language to express things that our current language handles inadequately. This new language attempts to increase the efficiency of communication about the statistical analysis of race.
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References
1.
Anderton, Douglass L., Andy B. Anderson, John Michael Oakes, and Michael R. Fraser .1994. Environmental Equity: The Demographics of Dumping. Demography31(2):229-48.
2.
Bullard, R.D.1990. Dumping in Dixie: Race, Class, and Environmental Quality . Boulder, CO: Westview Press.
3.
Coate, Stephen and Glenn C. Loury.1993. Will Affirmative-Action Policies Eliminate Negative Stereotypes?American Economic Review83(5):1220-40.
4.
Cox, David R.1992. Causality: Some Statistical Aspects. Journal of the Royal Statistical Society A 135(pt. 2):291-301.
5.
Du Bois, W. E. Burghardt.1898. The Study of the Negro Problems. The Annals of the American Academy of Political and Social Science Jan.: 1-23.
6.
Edgeworth, Francis Ysidro.1885. Methods of Statistics. Jubilee Volume of the Statistical Society181-217.
7.
Fisher, Ronald A.1925. Statistical Methods for Research Workers. London: Oliver and Boyd.
8.
—. 1935. The Design of ExperimentsLondon : Oliver and Boyd.
9.
Freedman, David A.1987. As Others See Us: A Case Study in Path Analysis . Journal of Education Statistics12(2):101-28.
10.
Galton, Francis.1869 [1892]. Hereditary Genius: An Inquiry into Its Laws and Consequences. 2d ed. Gloucester, MA: Peter Smith.
11.
—. 1874. English Men of Science: Their Nature and Nurture . London: Macmillan.
12.
————. 1875. Statistics by Intercomparison, with Remarks on the Law of Frequency of Error. Philosophical Magazine, 4th ser., 49:33-46.
13.
————. 1889. Natural InheritanceLondon: Macmillan.
14.
Heckman, James J.1976. The Common Structure of Statistical Models of Truncation, Sample Selection and Limited Dependent Variables and a Simple Estimator for Such Models. Annals of Economic and Social Measurement5:475-92.
15.
Holland, Paul W.1986. Statistics and Causal Inference. Journal of the American Statistical Association81(396):945-70.
16.
Kevles, Daniel J.1985. In the Name of Eugenics: Genetics and the Uses of Human Heredity. Berkeley: University of California Press.
17.
Lundberg, Shelly J.1991. The Enforcement of Equal Opportunity Laws Under Imperfect Information: Affirmative Action and Alternatives. QuartileJournal of Economics106(1):309-26.
18.
McDaniel, Antonio.1998. The "Philadelphia Negro" Then and Now: Implications for Empirical Research. In W.E.B. DuBois, Race, and the City: The Philadelphia Negro and Its Legacy, ed. M. B. Katz and T. J. Sugrue.Philadelphia: University of Pennsylvania Press.
19.
Menchik, Paul L.1993. Economic Status as a Determinant of Mortality Among Black and White Older Men: Does Poverty Kill?Population Studies47:427-36.
20.
Pearson, Karl.1948. Karl Pearson's Early Statistical Papers. Cambridge: Cambridge University Press.
21.
Phelps, Edmund S.1972. The Statistical Theory of Racism and Sexism. American Economic Review62(4):659-61.
22.
Rosenbaum, Paul R.1984. From Association to Causation in Observational Studies: The Role of Tests of Strongly Ignorable Treatment Assignment. Journal of the American Statistical Association79(38):41-47.
23.
Smith, Herbert L.1990. Specification Problems in Experimental and Non-Experimental Social Research. Sociological Methodology20:59-91.
24.
Sobel, Michael E.1995. Causal Inference in the Social and Behavioral Sciences . In Handbook of Statistical Modeling for the Social and Behavioral Sciences, ed. Gerhard Arminger, Clifford C. Clogg, and Michael E. Sobel.New York: Plenum Press .
25.
Stigler, Stephen M.1986. The History of Statistics: The Measurement of Uncertainty Before 1900. Cambridge, MA: Harvard University Press, Belknap Press.
26.
Yule, George Uduy.1897. On the Theory of Correlation. Journal of the Royal Statistical Society60:812-54.
27.
—. 1899. An Investigation into the Causes of Changes in Pauperism in England, Chiefly During the Last Two Intercensal Decades, IJournal of the Royal Statistical Society62:249-95.
28.
Zuberi, Tukufu.2000. Thicker Than Blood: An Essay on the Quantification of Race. Chicago: University of Chicago Press.
