, classification has been done manually. If it were possible to combine new computational tools and administrative wage records to … information about the changing occupational composition of the labor market. This paper examines the potential to assign …

previous classification efforts is that we employ an extensive data base on market-determined parallel exchange rates. Our … 'natural' classification algorithm leads to a stark reassessment of the post-war history of exchange rate arrangements. When … the official categorization is a form of peg, roughly half the time our classification reveals the true underlying …

research studies to predict outcomes y on the basis of observed covariates x. Given this information, decisions are then based … differential covariate classification (DCC). Using this framework, we analyze partial identification of probabilistic predictions …, focusing mainly on differential classification of individuals' race and ethnicity in clinical medicine. We find that bounds on …