Introductory econometrics
using Monte Carlo simulation with Microsoft Excel
by Humberto Barreto
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This highly accessible and innovative text and accompanying CD-ROM use 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 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 Excel add-ins allow students to draw histograms, to compute P-values and robust standard errors, and to construct their own MonteCarlo and bootstrap simulations. For more readers may visit the web site at www.wabash.edu/econometrics.
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Business, Data processing, Econometrics, Microsoft Excel (Computer file), Monte Carlo method, Nonfiction, Économétrie, Monte-Carlo, Méthode de, Informatique, Econometrie, Monte Carlo-methode, Microsoft Excel, EXCEL, Monte-Carlo-Simulation, Ökonometrie, Memorial bookplates, Class of 1955, Whitman College, Memorial bookplates--class of 1955whitman college, Monte carlo method--data processing, Monte-carlo, méthode de--informatique, Monte carlo-methode, Microsoft excel, Excel, Monte-carlo-simulation, Hb139 .b376 2006, 330/.01/518282, 83.03, Dat 304f, Qh 300, Wir 017f| Edition | Availability |
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1
Introductory econometrics: using Monte Carlo simulation with Microsoft Excel
2006, Cambridge University Press
in English
0521843197 9780521843195
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2
Introductory Econometrics
2005, Cambridge University Press
eBook
in English
051113357X 9780511133572
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3
Introductory Econometrics: Using Monte Carlo Simulation with Microsoft Excel
December 26, 2005, Cambridge University Press
Hardcover
in English
- Har/Cdr edition
0521843197 9780521843195
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Includes bibliographical references and index.
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- Created April 1, 2008
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