Using excel : for principles of econometrics, fourth edition / Genevieve Briand y R. Carter Hill.

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 -- Index, 466.

This supplementary book presents the Excel instructions required for most of the examples in Principles of Econometrics in a clear and concise way. It contains many illustrations that are student friendly. It is useful not only for students and instructors who will be using this software as part of their econometrics course, but also for those who wish to learn how to use Excel.