Difference between revisions of "Discrimination"

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Most of us are fully aware of two economic theories of discrimination, [[animus-based discrimination]] and [[statistical discrimination]]. Be on the lookout for institutional discrimination which we want to add to our teaching and remove from our classrooms.
 
Most of us are fully aware of two economic theories of discrimination, [[animus-based discrimination]] and [[statistical discrimination]]. Be on the lookout for institutional discrimination which we want to add to our teaching and remove from our classrooms.
 
  
 
== Institutional Discrimination ==
 
== Institutional Discrimination ==

Revision as of 14:44, 18 July 2011

Be aware of a third theory of discrimination.

Most of us are fully aware of two economic theories of discrimination, animus-based discrimination and statistical discrimination. Be on the lookout for institutional discrimination which we want to add to our teaching and remove from our classrooms.

Institutional Discrimination

Definition: Institutional Discrimination is the adverse treatment of, and impact on, members of minority groups because of the explicit and implicit rules that regulate society (including rules set and enforced by firms, schools, government, markets, and society). Institutional discrimination occurs when the rules, practices, or “nonconscious understandings of appropriate conduct” (Haney Lopez) systematically advantage or disadvantage members of particular groups.

Institutional discrimination may result in equilibrium allocations that are unfair and inefficient. Government intervention may be necessary to address the imperfection.

Examples - Last-hired-first-fired practices - Firm recruits job applicant by using referrals from existing workers. - An interviewer’s ease of communication with people who are of the same race/gender/ethnicity/class … - Licensing rules for beauty parlor operators and pin curls -Accessibility on college campuses

In the classroom,

Compare to animus-based discrimination, implicit associations, and statistical discrimination.