Introductory Econometrics A Modern Approach

Name: Introductory Econometrics A Modern Approach
Availability: OutOfStock
ISBN: 9780324581621

ISBN-10: 0324581629

ISBN-13: 9780324581621

Edition: 4th 2009

Authors: Jeffrey M. Wooldridge

List price: $374.95

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Practical and professional, Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 4e bridges the gap between how undergraduate econometrics has traditionally been taught and how empirical researchers actually think about and apply econometric methods. The text's unique approach reflects the fact that econometrics has moved from a specialized mathematical description of economics to an applied interpretation based on empirical research techniques. The text combines the mechanics of econometrics with modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Unlike traditional texts, INTRODUCTORY ECONOMETRICS's…

Book details

List price: $374.95
Edition: 4th
Copyright year: 2009
Publisher: Cengage South-Western
Publication date: 3/27/2008
Binding: Hardcover
Pages: 896
Size: 7.50" wide x 9.50" long x 1.25" tall
Weight: 3.432
Language: English

Jeffrey M. Wooldridge is University Distinguished Professor of Economics at Michigan State University and a Fellow of the Econometric Society.




The Nature of Econometrics and Economic Data



Regression Analysis With Cross-Sectional Data



The Simple Regression Model



Multiple Regression Analysis: Estimation



Multiple Regression Analysis: Inference



Multiple Regression Analysis: OLS Asymptotics



Multiple Regression Analysis: Further Issues



Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables



Heteroskedasticity



More on Specification and Data Problems



Regression Analysis With Time Series Data



Basic Regression Analysis with Time Series Data



Further Issues in Using OLS with Time Series Data



Serial Correlation and Heteroskedasticity in Time Series Regressions



Advanced Topics



Pooling Cross Sections across Time: Simple Panel Data Methods



Advanced Panel Data Methods



Instrumental Variables Estimation and Two Stage Least Squares



Simultaneous Equations Models



Limited Dependent Variable Models and Sample Selection Corrections



Advanced Time Series Topics



Carrying out an Empirical Project


Appendices



Basic Mathematical Tools



Fundamentals of Probability



Fundamentals of Mathematical Statistics



Summary of Matrix Algebra



The Linear Regression Model in Matrix Form



Answers to Chapter Questions



Statistical Tables


References


Glossary


Index