## Description

The third edition builds on the philosophy that applications should drive the theory, not the other way around, while maintaining a focus on currency. Ensure students grasp the relevance of econometrics with Introduction to Econometrics the text that connects modern theory and practice with engaging applications.

Provide Context: Real-World Questions and Data. Each important econometric method is built around an important real world question that demands a specific numerical example. For example, the single variable regression, multiple regression, and functional form analysis are motivated by the question: Do smaller elementary class sizes produce higher test scores?

Present Consistency: Theory That Matches Application. Although econometric tools are best motivated by empirical applications, students need to learn enough econometric theory to understand the strengths and limitations of those tools. A modern treatment is provided to fit between theory and applications as tightly as possible, while keeping the mathematics at a level that requires only algebra.

Create Skilled Producers, Sophisticated Consumers. One of the goals of this textbook is to help students become sophisticated consumers of empirical analysis. To do so, they must learn how to use the tools of regression analysis and how to assess the validity of empirical analyses presented to them.

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• Part I. Introduction and Review
Chapter 1. Economic Questions and Data
Chapter 2. Review of Probability
Chapter 3. Review of Statistics

Part II. Fundamentals of Regression Analysis
Chapter 4. Linear Regression with One Regressor
Chapter 5. Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals
Chapter 6. Linear Regression with Multiple Regressors
Chapter 7. Hypothesis Tests and Confidence Intervals in Multiple Regression
Chapter 8. Nonlinear Regression Functions
Chapter 9. Assessing Studies Based on Multiple Regression

Part III. Further Topics in Regression Analysis
Chapter 10. Regression with Panel Data
Chapter 11. Regression with a Binary Dependent Variable
Chapter 12. Instrumental Variables Regression
Chapter 13. Experiments and Quasi-Experiments

Part IV. Regression Analysis of Economic Time Series Data
Chapter 14. Introduction to Time Series Regression and Forecasting
Chapter 15. Estimation of Dynamic Causal Effects
Chapter 16. Additional Topics in Time Series Regression

Part V. The Econometric Theory of Regression Analysis
Chapter 17. The Theory of Linear Regression with One Regressor
Chapter 18. The Theory of Multiple Regression
• Citation
• Full Title: Introduction to Econometrics
• Author/s:
• ISBN-10: 0138009007
• ISBN-13: 9780138009007
• Edition: 3rd Edition
• Publication date: 2012
• Subtopic: Econometrics
• File Type: eBook | Solution Manual
• Idioma: English

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