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...

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...

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...

Using previously unexploited data on time scheduling in the employment and household contexts, we investigate the effect of flexible working on couples' coordination of their daily work time schedules in the UK. We consider three distinct dimensions of flexible working: flexibility of daily...

Two major earthquakes which struck northwestern Turkey in 1999 exposed rampant corruption involving construction and zoning code violations. The government's relief efforts were tainted by corruption as well, and exhibited a great deal of incompetence. How voters responded to these in the next...