Econometric Models and Economic Forecasts 4/e - Softcover

Pindyck, Robert S; Rubinfeld, Daniel L

Softcover

ISBN 10: 0071188312 ISBN 13: 9780071188319

Publisher: McGraw-Hill Higher Education, 2000

Synopsis

First course in Econometrics in Economics Departments also Economic/Business Forecasting. Statistics prerequisite but no calculus. Book helps the student understand the art of model building. With a clear four part structure, the text includes strong cover of time series and forecasting. Users claim student accessibility, comprehensive, and appropriate and extensive examples. Requires no matrix algebra. Includes data disk.

About this title

From the Publisher

Book restructured into four (previously three) parts.
Part One now introduces the multiple regression model and chapter 2 has new material on descriptive statistics.
Part Two now covers single-equation regression models
New chapter (10) on nonlinear and maximum-likelihood estimation with a section on ARCH and GARCH models. New tests for heteroscedasticity (ch.6) and use of panel data (ch.9).
Part Three has revised exposition and a small macroeconomic model in an Appendix.
Four Four includes a revised treatment of time-series analysis. Chapter 18 combines two chapters from the 3/e on estimation and forecasting with time-series models.
Data for examples included in text or in IM. Now data also provided in a diskette which comes with the book.
Reviewers acclaim student accessibility, comprehensiveness, and appropriate and extensive examples.
Book helps the student understand the art of model building. The book aids understanding what type of model to build, building the appropriate model, testing it statistically, and applying the model to practical problems in forecasting and analysis

Synopsis

This is a first course in Econometrics in Economics Departments also Economic/Business Forecasting. Statistics is a prerequisite but no calculus. This book helps the student understand the art of model building. With a clear four part structure, the text includes strong cover of time series and forecasting. Users can claim student accessibility, comprehensive, and appropriate and extensive examples. It requires no matrix algebra. It includes data disk.

Edition details

• Publisher: McGraw-Hill Higher Education
• Publication date: 2000
• Language: English
• ISBN 10: 0071188312
• ISBN 13: 9780071188319
• Binding: Paperback
• Edition number: 4
• Number of pages: 654