We propose a revealed-preferences approach to assess the costs of cultural biases faced by discriminators by comparing peer-to-peer loans the same lenders make alone and after observing suggestions by an automated robo-advisor in India. Discrimination across religions and against low-caste borrowers...
Keywords:
Trust, Social Capital, Discrimination, Cultural Norms, Subjective Expectations, Robo-Advising, FinTech, Inter-ethnic Conflict, Social Conditioning, Religion, Caste.