Introductory Econometrics
Introductory Econometrics
This highly accessible and innovative text with supporting web site uses Excel (R) to teach the core concepts of econometrics without advanced mathematics. It enables students to use Monte Carlo simulations in order to understand the data generating process and sampling distribution. Intelligent repetition of concrete examples effectively conveys the properties of the ordinary least squares (OLS) estimator and the nature of heteroskedasticity and autocorrelation. Coverage includes omitted variables, binary response models, basic time series, and simultaneous equations. The authors teach students how to construct their own real-world data sets drawn from the internet, which they can analyze with Excel (R) or with other econometric software. The accompanying web site with text support can be found at www.wabash.edu/econometrics.
- Active learning with highly accessible introductory text using computers and web site support rather than passive reading
- Well-prepared Excel (R) workbooks enable easy Monte Carlo simulation and other analyses
Reviews & endorsements
"Barreto and Howland have taken a truly innovative approach to teach undergraduate econometrics, using computer simulation methods to illustrate and clarify difficult topics. Fully integrated with Microsoft Excel, this textbook forces students to take a hands-on approach to the subject. There is no better way to learn econometrics than by doing econometrics!"
Jason Abrevaya, Purdue University
"Barreto and Howland have done an excellent job of producing an introductory econometric textbook based on Excel software combined with a well written and applied intuitive approach to econometrics. In my opinion, their teaching philosophy is absolutely the correct method: Put the student in front of a computer and teach econometrics by doing econometrics"
Daniel V. Gordon, University of Calgary
"Humberto and Barreto have written a worthwhile and unique textbook on introductory econometrics. I was initially skeptical that Excel and Monte Carlo simulation could be integrated coherently, but the authors execute it well. This book has many positives, including accessibility, potential to engage some students who otherwise might not be interested and likelihood of students finishing with a strong understanding of sampling distributions and linear regression...instructors should consider this progressive textbook for their undergraduate econometrics course."
Ryan E. Wiegand, Journal of the American Statistical Association
Product details
- Published: December 2005
- Format: Hardback
- ISBN: 9780521843195
- Length: 800 pages
- Dimensions: 259 × 185 × 51 mm
- Weight: 1.56kg
- Contains: 4 tables
- Availability: Available
Related links
Table of Contents
- 1. Introduction
- Part I. Description:
- 2. Correlation
- 3. Pivot tables
- 4. Computing regression
- 5. Interpreting regression
- 6. Functional form
- 7. Multivariate regression
- 8. Dummy variables
- Part II. Inference:
- 9. Monte Carlo simulation
- 10. Inferential statistics review
- 11. Measurement box model
- 12. Comparing two populations
- 13. The classical econometric model
- 14. The Gauss Markov theorem
- 15. Understanding the standard error
- 16. Hypothesis testing and confidence intervals
- 17. F tests
- 18. Omitted variable bias
- 19. Heteroskedasticity
- 20. Autocorrelation
- 21. The series topics
- 22. Dummy dependent variables
- 23. Bootstrap
- 24. Simultaneous equations.
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