Εφαρμοσμένη Μικρο-οικονομετρία (ΕΦΟ-01) - Applied Microeconometrics
Νικόλαος Γιαννακόπουλος
- Goals
- Structure
- Topics
- Textbook & software
- Course requirements
- Learning aims & objectives
- Doing empirical analysis
- Treatment eects approach
- Structural approach
- Types of "research" questions
- Correlation does not imply causation
- Process of project development
- Review of Probability and Statistics
- Linear Regression
- Multiple Regression
- Nonlinear Regression Functions
- Interactions Between Independent Variables
- The IV Estimator
- Example (Demand and Supply)
- Inference
- IV and Causality
- Example
- Multiple Instruments
- Wald Estimator
- LATE framework
- Practical issues on IV (Identification and Weak Instruments)
- Denitions
- Data Structures
- Advantages of Panel Data
- Issues to be analyzed
- Econometric Modeling
- Pooled estimates
- Random Effects
- Fixed Effects
- Fixed Effects vs Random Effects
- Dynamic Panel Data
- Modeling
- Linear Probability Model
- Binary Logit
- Binary Probit
- Ordered and Multinomial Response Outcomes
- Ordered Probit
- Multinomial Logit
- Tobit
- Sample Selection
- Treatment Eects
- Experimental data
- Non-experimental data
- Differences in Differences
