Introductory Econometrics

Using Monte Carlo Simulation with Microsoft Excel

Business & Finance, Economics, Econometrics, Nonfiction, Science & Nature, Mathematics
Cover of the book Introductory Econometrics by Humberto Barreto, Frank Howland, Cambridge University Press
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Author: Humberto Barreto, Frank Howland ISBN: 9781107713796
Publisher: Cambridge University Press Publication: December 26, 2005
Imprint: Cambridge University Press Language: English
Author: Humberto Barreto, Frank Howland
ISBN: 9781107713796
Publisher: Cambridge University Press
Publication: December 26, 2005
Imprint: Cambridge University Press
Language: English

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.

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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.

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