Econometrics

  1. Causal Inference and Program Evaluation
    1. The Causal Inference Framework
      1. Potential Outcomes Model
        1. Treatment and Control States
          1. Fundamental Problem of Causal Inference
          2. Treatment Effects
            1. Average Treatment Effect
              1. Treatment on the Treated
                1. Local Average Treatment Effect
                2. Selection Bias
                  1. Sources and Consequences
                    1. Observable vs. Unobservable Selection
                  2. Experimental Methods
                    1. Randomized Controlled Trials
                      1. Design Principles
                        1. Internal and External Validity
                          1. Compliance Issues
                          2. Natural Experiments
                            1. Identification Strategies
                              1. Examples in Economics
                            2. Quasi-Experimental Methods
                              1. Difference-in-Differences
                                1. Two-Period Two-Group Model
                                  1. Extensions and Robustness
                                    1. Event Study Designs
                                    2. Regression Discontinuity Design
                                      1. Sharp RDD
                                        1. Fuzzy RDD
                                          1. Bandwidth Selection
                                            1. Validity Tests
                                            2. Matching Methods
                                              1. Propensity Score Matching
                                                1. Nearest Neighbor Matching
                                                  1. Kernel Matching
                                                    1. Covariate Balance
                                                  2. Advanced Causal Inference Topics
                                                    1. Synthetic Control Methods
                                                      1. Regression Kink Design
                                                        1. Bunching Estimators
                                                          1. Machine Learning for Causal Inference