Introductory Econometrics A Modern Approach
Edition: 4th 2009
List price: $374.95
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Description: 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 unique organization separates topics by the kinds of data being analyzed, rather than presenting a strictly linear model. Packed with relevant applications and a wealth of interesting data sets, the text emphasizes examples throughout, which gives a concrete reality to economic relationships, as well as allows treatment of intriguing policy questions in a realistic and accessible framework.
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All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.
List price: $374.95
Copyright year: 2009
Publisher: Cengage South-Western
Publication date: 3/27/2008
Size: 7.50" wide x 9.50" long x 1.25" tall
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|
|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|
|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|
|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|