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Economics
Foundational Economics
Econometrics
1. Introduction to Econometrics
2. Review of Probability and Statistics
3. The Simple Linear Regression Model
4. The Multiple Linear Regression Model
5. Model Specification and Functional Forms
6. Qualitative Information and Dummy Variables
7. Violations of Classical Assumptions
8. Endogeneity and Instrumental Variables
9. Model Selection and Specification Testing
10. Limited Dependent Variable Models
11. Time Series Econometrics
12. Panel Data Econometrics
13. Causal Inference and Program Evaluation
14. Advanced Econometric Topics
15. Computational Econometrics
Advanced Econometric Topics
Nonparametric and Semiparametric Methods
Kernel Regression
Local Polynomial Regression
Partially Linear Models
Single Index Models
Quantile Regression
Motivation and Interpretation
Estimation Methods
Inference and Testing
Spatial Econometrics
Spatial Dependence
Spatial Lag Models
Spatial Error Models
Estimation Methods
Treatment of Measurement Error
Classical Measurement Error
Consequences for OLS
Instrumental Variables Solutions
Multiple Indicator Models
Bootstrap Methods
Bootstrap Principle
Parametric vs. Nonparametric Bootstrap
Bootstrap Confidence Intervals
Bootstrap Hypothesis Tests
Bayesian Econometrics
Bayesian vs. Frequentist Approaches
Prior and Posterior Distributions
Markov Chain Monte Carlo Methods
Model Selection and Averaging
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13. Causal Inference and Program Evaluation
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15. Computational Econometrics