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1/3 Economists' "statistical discrimination," as it turns out, is both (1) the use of statistical associations to discriminate and (2) an attempt to define discrimination using statistical vocabulary alone. According to Phelps (1972), you discriminate whether you hire people by
2/3 education, race or zip code, as long as you base decisions on PREDICTED performance, rather than performance itself. So, all learning is
"discriminatory" for it is based on past experience which PREDICTS, yet is not equal, the situation at hand. Conclusion: I was right
"discriminatory" for it is based on past experience which PREDICTS, yet is not equal, the situation at hand. Conclusion: I was right
3/3 to suspect criteria entitled "statistical discrimination" and their ability to capture notions such as "fairness," in which causal relations play a major role. @JaapAbbring @steventberry #Bookofwhy
