Dictionary approaches are at the forefront of current techniques for quantifying central bank communication. This paper proposes embeddings - a language model trained using machine learning techniques - to locate words and documents in a multidimensional vector space. To accomplish this, we...

This paper investigates the role of social trust in determining one's willingness to compete in math competitions in school, observing how competitive occupational choices often require higher quantitative skills. Using the data of the PISA test in math, the empirical results highlight that a...

We study the effects of preselection on an expert's incentive to give truthful advice in a decision environment in which certain decisions yield more precise estimates about the expert's expertise. The introduction of a preselection stage, in which the decision maker can study the case before...