@TechReport{iza:izadps:dp13012,
            	author={Asad, Sher Afghan and Banerjee, Ritwik and Bhattacharya, Joydeep},
            	title={Do Workers Discriminate against Their Out-group Employers? Evidence from the Gig Economy},
            	year={2020},
	month={Feb},
            	institution={Institute of Labor Economics (IZA)},
            	address={Bonn},
            	type={IZA Discussion Paper},
            	number={13012},
            	url={https://www.iza.org/publications/dp13012},
	abstract={We study possible worker-to-employer discrimination manifested via social preferences in an online labor market. Specifically, we ask, do workers exhibit positive social preferences for an out-race employer relative to an otherwise-identical, own-race one? We run a well-powered, model-based experiment wherein we recruit 6,000 workers from Amazon's M-Turk platform for a real-effort task and randomly (and unobtrusively) reveal to them the racial identity of their non-fictitious employer. 
Strikingly, we find strong evidence of race-based altruism – white workers, even when they do not benefit personally, work relatively harder to generate more income for black employers. Self-declared white Republicans and Independents exhibit significantly more altruism relative to Democrats. Notably, the altruism does not seem to be driven by race-specific beliefs about the income status of the employers. Our results suggest the possibility that pro-social behavior of whites toward blacks, atypical in traditional labor markets, may emerge in the gig economy where associative (dis)taste is naturally muted due to limited social contact.},
	keywords={Gig Economy;taste-based discrimination;social preferences;worker-to-employer;discrimination;mechanical turk;Structural Behavioral Economics},
            }