We build a global bankruptcy prediction model using a support vector machine trained only on firms' endogenous information in the form of financial ratios. The model is tested not only on entirely random unseen data but on samples taken from specific global regions and industries to test for prediction bias, achieving satisfactory prediction performance in all cases. While support vector machines are not easily interpretable, we explore variable importance and find it consistent with economic intuition.

We develop a simple model of technology adoption based on evolutionary game theory that corresponds with intuition but also uncovers a non-ideal equilibrium that we call the technology adoption dilemma.

Desarrollamos un modelo de adopción de lenguaje basado en un modelo evolutivo genera-do por un juego con dos poblaciones y tres estrategias y encontramos dos equilibrios estables, a saber: bilingüismo en ambas poblaciones y monolingüismo basado en la lengua vernácula de cada población.

We develop a simple mathematical model describing the dynamics of the gender gap in a labor market niche, and study the effects of bias, market size and market dynamism in the evolution of the system. A high level characterization of the system is suggested by studying a large sample of the parameter space and specific cases of interest to policy making are explored.

We develop a simple mathematical model describing the dynamics of the gender gap in a labor market niche and study the effects of bias, market size, and market dynamism in the evolution of the system. A high-level characterization of the system is suggested by studying a large sample of the parameter space and specific cases of interest to policymaking are explored.