DescriptionPrinciples of Econometrics is an introductory book for undergraduate students in economics and finance, and can be used for MBA and first-year graduate students in many fields. The 4th Edition provides students with an understanding of why econometrics is necessary and a working knowledge of basic econometric tools. This text emphasizes motivation, understanding and implementation by introducing very simple economic models and asking economic questions that students can answer.
This item: Using Excel for Principles of Econometrics, 4th Edition
1. Introduction to Excel 1
2. The Simple Linear Regression Model 19
3. Interval Estimation and Hypothesis Testing 67
4. Prediction, Goodness-of-Fit and Modeling Issues 95
5. The Multiple Linear Regression 143
6. Further Inference in the Multiple Regression Model 154
7. Using Indicator Variables 180
8. Heteroskedasticity 204
9. Regression with Time Series Data: Stationary Variables 228
10. Random Regressors and Moment-Based Estimation 262
11. Simultaneous Equations Models 278
12. Nonstationary Time-Series Data and Cointegration 294
13. Vector Error Correction and Vector Autoregressive Models 310
14. Time-Varying Volatility and ARCH Models 328
15. Panel Data Models 355
16. Qualitative and Limited Dependent Variable Models 391
A. Mathematical Tools 402
B. Review of Probability Concepts 416
C. Review of Statistical Inference 431
- Thoroughly updated to reflect current state of economic and financial markets.
- Comprehensive revision of Chapter 9: Regression with Time Series Data: Stationary Variables.
- New content on Kernel Density Fitting and Analysis of Treatment Effects.
- New end-of-chapter questions and problems in each chapter.
- New Primer of Probably and Statistics.
- Applies basic econometric tools to modeling, estimation, inference, and forecasting through real world problems.
- Teaches students to evaluate critically the results and conclusions from others who use basic econometric tools.
- Provides a foundation and understanding for further study of econometrics.
- Students will gain an appreciation for the ranges of more advanced techniques that exist and may be covered in later econometric courses.