Introduction to empirical data analysis -- Regression analysis -- Analysis of variance -- Discriminant analysis -- Logistic regression -- Contingency analysis -- Factor analysis -- Cluster analysis -- Conjoint analysis.

Counterfactual framework and assumptions -- Conventional methods for data balancing -- Sample selection and related models -- Propensity score matching and related models -- Matching estimators -- Propensity score analysis with nonparametric regression -- Selection bias and sensitivity analysis...