Binary Choice Models and Time Series Analysis

This lecture covers binary choice models, such as probit and logit, used to model determinants of binary variables. It also delves into latent variable representation, estimation methods, and interpretation of model coefficients. Additionally, it explores univariate time series analysis, focusing on autoregressive integrated moving average (ARIMA) models for forecasting economic variables based on past patterns.