We propose an easy-to-use method for estimating preference parameters experimentally: choices from strictly concave budget restrictions (SCBRs). SCBRs generalize the popular method of analyzing choices from linear budget restrictions (LBRs). SCBRs promise (i) to improve the informational content...

We audit the job recommender algorithms used by four Chinese job boards by creating fictitious applicant profiles that differ only in their gender. Jobs recommended uniquely to the male and female profiles in a pair differ modestly in their observed characteristics, with female jobs advertising...

We experimentally investigate how players with opposing views compete for influence through strategic targeting in networks. We varied the network structure, the relative influence of the opponent, and the heterogeneity of the nodes' initial opinions. Although most players adopted a...