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Statistical Discrimination David L. Dickinson Appalachian State University April 2006: GATE.

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Presentation on theme: "Statistical Discrimination David L. Dickinson Appalachian State University April 2006: GATE."— Presentation transcript:

1 Statistical Discrimination David L. Dickinson Appalachian State University April 2006: GATE.

2 “Maximal Quality Selection and Discrimination in Employment.” Douglas D. Davis, 1987, JEBO. Statistical Discrimination  Non-prejudiced based. Motivations for racial (e.g.) ability perceptions are not abundant.  Ability perceptions may be lower for minority workers if employers interview fewer minorities. That is, the sample maximum increases in # draws. External validity is with “upper-credential” hiring environments…..we want “the best”!  The benefit of experiments is that prejudice can be lab- controlled (difficult to control in the field, however).

3 Experimental Design Critical features  Costly search  Incentive to select only “best” candidates  Opportunity to reflect perceptions of minority inferiority  Controlled payoff distributions to searcher (employer), and proportion of ‘minority’ observations controlled.  Context neutral—no reference to race, gender, etc.

4 Design Specifics Subject sees Box g and Box h. Each box is a prize distributions, and subjects may sample each distribution for 1-3 cents per observation (80% of sample purchased comes from ‘majority’ Box, which subjects do not know). Payoffs are chosen prize minus total sampling costs. Distributions of Boxes changes every six decision periods, and only on 6 th decision period can subjects choose Box from which sample is draws occur.  Main hyp is supported if subjects choose from majority Box more frequently

5 Results Each subject generates 2 observations on experimental parameter ‘cells’ (Table 1) (N=80). Proportion of minority Box choices=.36<.50.  Modal choice proportion, however, is.50.  Minority superiority also a regular choice (order statistics go both ways).  TAB sheet recording may worsen the situation (though not statistically significant)  A prejudiced MARKET TIP significantly biases selections away from minority Box (Table 4). Evidence in Table 5 suggests that minority Box (population) must be significantly better, in terms of mean prize, than majority Box to create perception of equality.

6 Conclusions Greatest perception of minority inferiority appear with TAB or MARKET TIP. Presumed equality only occurs with a higher mean outcome from less frequently sampled (minority) group. Practical applicability?  EEO interview quotas, productivity distribution equality?


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