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This highly accessible and innovative text (and accompanying website: www.wabash.edu/econometrics) uses Excel (R) workbooks powered by Visual Basic macros to teach the core concepts of econometrics without advanced mathematics. It enables students to run monte Carlo simulations in which they repeatedly sample from artificial data sets in order to understand the data generating process and sampling distribution. 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.Read more
- 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 UniversitySee more reviews
"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
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- format: Adobe eBook Reader
- isbn: 9780511133572
- contains: 4 tables
- availability: Adobe Reader ebooks available from eBooks.com
Table of Contents
Part I. Description:
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
21. The series topics
22. Dummy dependent variables
24. Simultaneous equations.
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