9780321432513-0321432517-Introduction to Econometrics

Introduction to Econometrics

ISBN-13: 9780321432513
ISBN-10: 0321432517
Edition: Brief
Author: James H. Stock, Mark W. Watson
Publication date: 2007
Publisher: Pearson College Div
Format: Hardcover 379 pages
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Book details

ISBN-13: 9780321432513
ISBN-10: 0321432517
Edition: Brief
Author: James H. Stock, Mark W. Watson
Publication date: 2007
Publisher: Pearson College Div
Format: Hardcover 379 pages

Summary

Introduction to Econometrics (ISBN-13: 9780321432513 and ISBN-10: 0321432517), written by authors James H. Stock, Mark W. Watson, was published by Pearson College Div in 2007. With an overall rating of 4.0 stars, it's a notable title among other Econometrics & Statistics (Economics) books. You can easily purchase or rent Introduction to Econometrics (Hardcover) from BooksRun, along with many other new and used Econometrics & Statistics books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.6.

Description

In keeping with their successful introductory econometrics text, Stock and Watson motivate each methodological topic with a real-world policy application that uses data, so that readers apply the theory immediately. Introduction to Econometrics, Brief, is a streamlined version of their text, including the fundamental topics, an early review of statistics and probability, the core material of regression with cross-sectional data, and a capstone chapter on conducting empirical analysis.

Introduction and Review: Economic Questions and Data; Review of Probability; Review of Statistics. Fundamentals of Regression Analysis: Linear Regression with One Regressor; Regression with a Single Regressor: Hypothesis Tests and Confidence Intervals in the Single-Regressor Model; Linear Regression with Multiple Regressors; Hypothesis Tests and Confidence Intervals in the Multiple Regressor Model; Nonlinear Regression Functions; Assessing Studies Based on Multiple Regression; Conducting a Regression Study Using Economic Data.

MARKET: For all readers interested in econometrics.

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