Is It Legitimate Statistics or Is It Sexism: Why Discrimination Is Not Rational

Abstract

While in the ideal world, everyone should have the same chance to succeed in a given profession, in reality, often the probability of success is different for people of different gender and/or ethnicity. For example, in the US, the probability of a female undergraduate student in computer science to get a PhD is lower than a similar probability for a male student. At first glance, it may seem that in such a situation, if we try to maximize our gain and we have a limited amount of resources, it is reasonable to concentrate on students with the higher probability of successi.e., on males, and only moral considerations prevent us from pursuing this seemingly economically optimal discriminatory strategy. In this paper, we show that this first impression is wrong: the discriminatory strategy is not only morally wrong, it is also not optimal-and the morally preferable inclusive strategy is actually also economically better.

Evaluating Endogenous Growth

“…, (11) Priors: (12) where and are natural log of output, natural log of capital, capital, and labor, respectively.…”