Computational Economics

  1. Machine Learning in Economics
    1. Supervised Learning Methods
      1. Linear Models
        1. Linear Regression
          1. Polynomial Regression
            1. Logistic Regression
            2. Regularization Techniques
              1. Ridge Regression
                1. Lasso Regression
                  1. Elastic Net
                  2. Tree-Based Methods
                    1. Decision Trees
                      1. Random Forests
                        1. Gradient Boosting
                          1. XGBoost
                          2. Support Vector Machines
                            1. Linear SVM
                              1. Nonlinear SVM
                                1. Kernel Methods
                                2. Neural Networks
                                  1. Feedforward Networks
                                    1. Backpropagation
                                      1. Deep Learning
                                    2. Unsupervised Learning Methods
                                      1. Clustering Algorithms
                                        1. K-Means Clustering
                                          1. Hierarchical Clustering
                                            1. DBSCAN
                                            2. Dimensionality Reduction
                                              1. Principal Component Analysis
                                                1. Factor Analysis
                                                  1. Independent Component Analysis
                                                  2. Association Rules
                                                    1. Market Basket Analysis
                                                      1. Frequent Pattern Mining
                                                    2. Model Selection and Evaluation
                                                      1. Cross-Validation
                                                        1. K-Fold Cross-Validation
                                                          1. Leave-One-Out Cross-Validation
                                                          2. Performance Metrics
                                                            1. Regression Metrics
                                                              1. Classification Metrics
                                                                1. Model Comparison
                                                                2. Overfitting and Underfitting
                                                                  1. Bias-Variance Tradeoff
                                                                    1. Regularization
                                                                      1. Early Stopping
                                                                    2. Causal Inference with Machine Learning
                                                                      1. Double Machine Learning
                                                                        1. Orthogonalization
                                                                          1. Cross-Fitting
                                                                            1. Neyman Orthogonality
                                                                            2. Causal Forests
                                                                              1. Heterogeneous Treatment Effects
                                                                                1. Honest Estimation
                                                                                2. Instrumental Variables with ML
                                                                                  1. Deep IV
                                                                                    1. Adversarial Learning
                                                                                  2. Economic Applications
                                                                                    1. Demand Estimation
                                                                                      1. Price Elasticity
                                                                                        1. Consumer Segmentation
                                                                                        2. Labor Economics
                                                                                          1. Wage Prediction
                                                                                            1. Job Matching
                                                                                            2. Finance
                                                                                              1. Credit Scoring
                                                                                                1. Algorithmic Trading
                                                                                                  1. Risk Management
                                                                                                  2. Public Policy
                                                                                                    1. Treatment Effect Estimation
                                                                                                      1. Policy Targeting

                                                                                                  Previous

                                                                                                  6. Agent-Based Modeling

                                                                                                  Go to top

                                                                                                  Next

                                                                                                  8. Macroeconomic Applications