Mathematical and statistical models of individual choice behavior
Topics / Course III in core PhD sequence, Methodology field
This course examines mathematical and statistical models of individual choice behavior. Emphasis will be placed both on the derivations and motivations for statistical models of choice. Readings will be from political science, mathematical psychology, econometrics, statistics, and sociology. Empirical applications will be reviewed to motivate and illustrate the different models.
Topics include multinomial choice models and extensions, including strategic choice, dynamic choice, and the modeling of aggregated choices. Maximum likelihood will be the primary method of estimation considered, along with simulation methods applied to classical inference.