This course starts from the premise that data is digitized information that facilitates prediction and reduces uncertainty. It introduces a set of information-related tools drawn from statistics, macroeconomics, and finance to model and measure data economies. Students will explore how firms acquire, process, and use data to make predictions and how these data-driven decisions aggregate to affect macroeconomic outcomes.
At the heart of the course lies the concept of the data feedback loop—a self-reinforcing dynamic that arises when firms generate data as a by-product of their own economic activity. The course emphasizes both theory and practice, with a strong focus on measurement: how to quantify the value of data, how to evaluate the effectiveness of prediction, and how to assess the macroeconomic implications of data-driven decision-making.
Estado
En inscripciones
Modalidad
Presencial
Fechas
14 de julio al 18 de julio del 2025
Horario
Lunes a viernes de 9:00 a.m. a 12:00 m.
Duración
5 Sesiones | 1 Semanas | 15.0 Horas
Inversión