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Introductory Econometrics

Introductory Econometrics
Using Monte Carlo Simulation with Microsoft Excel

£70.99

textbook
  • Date Published: March 2006
  • availability: Available
  • format: Hardback
  • isbn: 9780521843195

£ 70.99
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About the Authors
  • 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
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    Reviews & endorsements

    'Hats off to Barreto and Howland for a clearly-written text that introduces the undergraduate to data analysis and econometric techniques using Excel. The book's strength is in using Monte Carlo simulation to illustrate sampling theory and the Gauss Markov theorem. I am in total agreement with the authors that computer-based exercises help to make abstract concepts operations and meaningful. Most juniors and seniors are familiar with the basic features of Excel spreadsheets. Showing them how to use SOLVER, the DATA ANALYSIS TOOLS, and to run Monte Carlo simulations, allows an instructor to take a familiar tool (Excel) and use it to introduce undergraduates to econometrics in an intuitive and non-threatening way.' Jon M. Conrad, Cornell University

    '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

    'The authors wrote a textbook on introductory econometrics which is different from most textbooks by using Monte Carlo simulation with Microsoft Excel. The book is written for undergraduate students in econometrics who should not be explicitly confronted with formal mathematics but instead with visual explanations of abstract ideas.' Zentralblatt MATH

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    Product details

    • Date Published: March 2006
    • format: Hardback
    • isbn: 9780521843195
    • length: 800 pages
    • dimensions: 259 x 185 x 51 mm
    • weight: 1.56kg
    • contains: 4 tables
    • availability: Available
  • 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.

  • Instructors have used or reviewed this title for the following courses

    • Energy Data Analysis
    • Financial Models and Business Analysis
    • Int'l Pol Economy
    • Introductory Econometrics
    • Quantitative Methods in Real Estate
  • Authors

    Humberto Barreto, DePauw University, Indiana
    Humberto Barreto is DeVore Professor of Economics at Wabash College, Indiana. He received his Ph.D. from the University of North Carolina at Chapel Hill. Professor Barreto has lectured often on teaching economics with computer-based methods, including the National Science Foundation's Chautuqua program for short courses using simulation. He has received the Indiana Sears Roebuck Teaching Award and the Wabash College McLain-McTurnan Arnold Award for Teaching Excellence. The author of The Entrepreneur in Microeconomic Theory, Professor Barreto has served as a Fulbright Scholar in the Dominican Republic. He is the manager of electronic information for the History of Economics Society and the director of the opportunities to Learn about Business program at Wabash College.

    Frank Howland, Wabash College, Indiana
    Frank M. Howland is Associate Professor of Economics at Wabash College. He earned his PhD in Economics from Stanford University. Professor Howland was a visiting researcher at FEDEA on Madrid in 1995–6. His academic research focuses on college savings plans.

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