Discrimination in Labor Economics: Refresher

A short, applied refresher on the labor-economics literature on discrimination, threaded through ride-sharing examples. Designed for someone who read Borjas a long time ago and wants the modern empirical version.

Modules

#ModuleStatus
1 Theory Primer — Becker, Phelps, Coate-Loury, with two indistinguishable acceptance gaps ✓ done
2 Audit & Correspondence Studies — Ge et al. (2016) Uber/Lyft replication ✓ done
3 Decomposition Methods — Oaxaca-Blinder, Cook et al. (2021) Uber gender pay gap ✓ done
4 Algorithmic Audits — Pandey-Caliskan (2021), Chen-Mislove-Wilson (2015), surge pricing ✓ done
5 Modern Methods & Practitioner — causal ML, the bridge to ML fairness, the internal-economist playbook ✓ done

Source: github.com/fhoces/discrimination-econ-refresher