Statistical discrimination without knowing statistics: blame social interactions? - Archive ouverte HAL Access content directly
Preprints, Working Papers, ... Year :

Statistical discrimination without knowing statistics: blame social interactions?

(1)
1
Emily Tanimura
  • Function : Author
  • PersonId : 941662

Abstract

We consider a model where decision makers repeatedly receive candidates and assign to them a binary decision that we can interpret as hire/not hire. The decision makers base their decision on the characteristics of the candidate but they are also sensitive to the social influence exerted by the observed past choices of their peers. We characterize the long run frequency of decisions in the model, and show in particular that for candidates belonging to a group with "unfavorable" characteristics, the dynamics increase the rejection rate compared to a scenario with independent decisions, suggesting that influence between decision makers can generate effects very similar to those that result from statistical discrimination. In our model, we then relate the long run outcomes, existence and magnitude of reinforcement to the properties of the characteristics distribution.
Fichier principal
Vignette du fichier
statisticaldiscrimination.pdf (330.2 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-03096126 , version 1 (04-01-2021)

Identifiers

  • HAL Id : hal-03096126 , version 1

Cite

Emily Tanimura. Statistical discrimination without knowing statistics: blame social interactions?. 2021. ⟨hal-03096126⟩
64 View
61 Download

Share

Gmail Facebook Twitter LinkedIn More