Introductory Econometrics

Name: Introductory Econometrics
Price: 5.15 USD
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ISBN: 9780324113648

ISBN-10: 0324113641

ISBN-13: 9780324113648

Edition: 2nd 2003

Authors: Jeffrey M. Wooldridge

List price: $209.95

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The modern approach of this text recognizes that econometrics has moved from a specialized mathematical description of economics to an applied interpretation based on empirical research techniques. It bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach motivated by the major problems facing applied researchers today. Throughout the text, the emphasis on examples gives a concrete reality to economic relationships and allows treatment of interesting policy questions in a realistic and accessible framework.

Book details

List price: $209.95
Edition: 2nd
Copyright year: 2003
Publisher: Cengage South-Western
Publication date: 7/11/2002
Binding: Hardcover
Pages: 900
Size: 7.50" wide x 9.25" long x 1.50" tall
Weight: 3.344
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