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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
Limited Dependent Variable Models
Binary Choice Models
Linear Probability Model
Specification and Estimation
Advantages and Limitations
Heteroskedasticity Issues
Probit Model
Model Specification
Maximum Likelihood Estimation
Interpretation of Coefficients
Marginal Effects
Logit Model
Model Specification
Odds Ratios
Comparison with Probit
Model Comparison and Selection
Likelihood Ratio Tests
Pseudo R-squared Measures
Censored and Truncated Data Models
Tobit Model
Censoring Mechanism
Maximum Likelihood Estimation
Marginal Effects
Extensions
Truncated Regression
Truncation vs. Censoring
Estimation Methods
Sample Selection Models
Heckman Selection Model
Two-Step Estimation
Maximum Likelihood Estimation
Identification Issues
Inverse Mills Ratio
Count Data Models
Poisson Regression
Negative Binomial Model
Zero-Inflated Models
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9. Model Selection and Specification Testing
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11. Time Series Econometrics