Most definitions of algorithmic bias and fairness encode decisionmaker interests, such as profits, rather than the interests of disadvantaged groups (e.g., racial minorities): Bias is defined as a deviation from profit maximization. Future research should instead focus on the causal effect of...

This paper addresses the steep learning curve in Machine Learning faced by noncomputer scientists, particularly social scientists, stemming from the absence of a primer on its fundamental principles. I adopt a pedagogical strategy inspired by the adage "once you understand OLS, you can work your...

This paper analyzes 12,596 wagering decisions of 6,064 contestants in the US game show Jeopardy!, focusing on the anchoring phenomenon in financial decision-making. We find that contestants anchor heavily on the initial dollar value of a clue in their wagering decision, even though there exists...

We investigate whether short-term everyday stressors leads to unhealthier dietary choices among low socioeconomic status mothers. We propose a novel stress protocol that aims to mimic everyday stressors experienced by this population, involving time and financial pressure. We evaluate the impact...

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...

The U.S. trucking industry has been calling out a shortage of truck drivers for nearly forty years, since soon after its economic deregulation in 1980. Burks and Monaco (2019) provided evidence that the overall truck driver labor market works about as well as any blue collar labor market, and...

We provide evidence that perceptions of crime risk are severely biased for many years after a move to a new neighborhood. Based on four successive waves of a large crime survey, matched with administrative records on household relocations, we find that the longer an individual lives in a...