Python for
Introductory Econometrics
(6 ed.)
By
Solomon Negash
Also covered using Stata
here
and using R
here
.
Part I.
Regression Analysis with Cross-Sectional Data
Chapter 2. The Simple Regression Model
Chapter 3. Multiple Regression Analysis
Chapter 4. Multiple Regression Analysis: Inference
Chapter 5. Multiple Regression Analysis: OLS Asymptotics
Chapter 6. Multiple Regression Analysis: Further Analysis
.
Chapter 7. Multiple Regression Analysis with Qualitative Information
Chapter 8. Heteroskedasticity
Chapter 9. More on Specification and Data Issues
Part II
Regression Analysis with Time Series Data
Chapter 10. Basic Regression Analysis with Time Series Data
Chapter 11. Further Issues in Using OLS with Time Series Data
Chapter 12. Serial Correlation and Heteroskedasticity in Time Series Regressions
Part III
Advanced Topics
Chapter 13. Pooling Cross Sections across Time: Simple Panel Data Methods
chapter 14 Advanced Panel Data Methods
chapter 15 Instrumental Variables Estimation and Two Stage Least Squares
chapter 16 Simultaneous Equations Models
chapter 17 Limited Dependent Variable Models and Sample Selection Corrections
chapter 18 Advanced Time Series Topics
chapter 19 Carrying Out an Empirical Project
Computer Exercises - Part I.
Regression Analysis with Cross-Sectional Data
Chapter 1. The Nature of Econometrics and Economic Data
Chapter 2. The Simple Regression Model
Chapter 3. Multiple Regression Analysis
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