Fundamentals of Applied Econometrics

Name: Fundamentals of Applied Econometrics
Price: 256.29 USD
Availability: InStock
ISBN: 9780470591826

ISBN-10: 047059182X

ISBN-13: 9780470591826

Edition: 2012

Authors: Richard A. Ashley

This item qualifies for FREE shipping.

30 day, 100% satisfaction guarantee!

Buy new: $256.29

Marketplace

1 new & used from $314.05

what's this?

Rush Rewards U
Members Receive:

You have reached 400 XP and carrot coins. That is the daily max!

Description:

• Active Learning Exercises are found in each chapter providing interactive, hands-on applications to ensure comprehension and retention of econometrics. • Statistics Review at the beginning of the text allows students to refresh their statistical skills

Book details

Copyright year: 2012
Publisher: John Wiley & Sons, Limited
Publication date: 2/20/2012
Binding: Hardcover
Pages: 736
Size: 7.80" wide x 9.29" long x 1.10" tall
Weight: 2.640
Language: English



What's Different about This Book


Working with Data in the "Active Learning Exercises"


Acknowledgments


Notation



Introduction and Statistics Review



Introduction



A Review of Probability Theory



Estimating the Mean of a Normally Distributed Random Variable



Statistical Inference on the Mean of a Normally Distributed Random Variable



Regression Analysis



The Bivariate Regression Model: Introduction, Assumptions, and Parameter Estimates



The Bivariate Linear Regression Model: Sampling Distributions and Estimator Properties



The Bivariate Linear Regression Model: Inference on ï¿½



The Bivariate Regression Model: R<sup>2</sup> and Prediction



The Multiple Regression Model



Diagnostically Checking and Respecifying the Multiple Regression Model: Dealing with Potential Outliers and Heteroscedasticity in the Cross-Sectional Data Case



Stochastic Regressors and Endogeneity



Instrumental Variables Estimation



Diagnostically Checking and Respecifying the Multiple Regression Model: The Time-Series Data Case (Part A)



Diagnostically Checking and Respecifying the Multiple Regression Model: The Time-Series Data Case (Part B)



Additional Topics in Regression Analysis



Regression Modeling with Panel Data (Part A)



Regression Modeling with Panel Data (Part B)



A Concise Introduction to Time-Series Analysis and Forecasting (Part A)



A Concise Introduction to Time-Series Analysis and Forecasting (Part B)



Parameter Estimation Beyond Curve-Fitting: MLE (With an Application to Binary-Choice Models) and GMM (With an Application to IV Regression)



Concluding Comments


Mathematics Review


Index