Introductory Econometrics

Using Monte Carlo Simulation with Microsoft Excel

Humberto Barreto, Frank M. Howland

800 pages, parution le 28/03/2006

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Résumé

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.

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
Contains CD-ROM with information on internet data plus answers to all self-study questions

Sommaire

Introduction
I. Description
- Correlation
- Pivot tables
- Computing regression
- Interpreting regression
- Functional form
- Multivariate regression
- Dummy variables
II. Inference
- Monte Carlo simulation
- Inferential statistics review
- Measurement box model
- Comparing two populations
- The classical econometric model
- The Gauss Markov theorem
- Understanding the standard error
- Hypothesis testing and confidence intervals
- F tests
- Omitted variable bias
- Heteroskedasticity
- Autocorrelation
- The series topics
- Dummy dependent variables
- Bootstrap
- Simultaneous equations

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Caractéristiques techniques

	PAPIER
Éditeur(s)	Cambridge University Press
Auteur(s)	Humberto Barreto, Frank M. Howland
Parution	28/03/2006
Nb. de pages	800
Format	18,5 x 26
Couverture	Relié
Poids	1400g
Intérieur	Noir et Blanc
EAN13	9780521843195
ISBN13	978-0-521-84319-5