Introductory Econometrics: A Modern Approach
Gain an understanding of how econometrics can answer today's questions in business, policy evaluation and forecasting with Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 7E. Unlike traditional texts, this book's practical, yet professional, approach demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions across a variety of disciplines. The author has organized the book's presentation around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 data sets in different formats. Updates introduce the latest developments in the field, including the recent advances in the so-called "causal effects" or "treatment effects," to provide a complete understanding of the impact and importance of econometrics today.
1128921804
Introductory Econometrics: A Modern Approach
Gain an understanding of how econometrics can answer today's questions in business, policy evaluation and forecasting with Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 7E. Unlike traditional texts, this book's practical, yet professional, approach demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions across a variety of disciplines. The author has organized the book's presentation around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 data sets in different formats. Updates introduce the latest developments in the field, including the recent advances in the so-called "causal effects" or "treatment effects," to provide a complete understanding of the impact and importance of econometrics today.
289.95 In Stock
Introductory Econometrics: A Modern Approach

Introductory Econometrics: A Modern Approach

by Jeffrey M. Wooldridge
Introductory Econometrics: A Modern Approach

Introductory Econometrics: A Modern Approach

by Jeffrey M. Wooldridge

Hardcover(7th ed.)

$289.95 
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Overview

Gain an understanding of how econometrics can answer today's questions in business, policy evaluation and forecasting with Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 7E. Unlike traditional texts, this book's practical, yet professional, approach demonstrates how econometrics has moved beyond a set of abstract tools to become genuinely useful for answering questions across a variety of disciplines. The author has organized the book's presentation around the type of data being analyzed with a systematic approach that only introduces assumptions as they are needed. This makes the material easier to understand and, ultimately, leads to better econometric practices. Packed with relevant applications, the text incorporates more than 100 data sets in different formats. Updates introduce the latest developments in the field, including the recent advances in the so-called "causal effects" or "treatment effects," to provide a complete understanding of the impact and importance of econometrics today.

Product Details

ISBN-13: 9781337558860
Publisher: Cengage Learning
Publication date: 01/04/2019
Series: MindTap Course List
Edition description: 7th ed.
Pages: 816
Product dimensions: 8.30(w) x 10.20(h) x 1.40(d)

About the Author

Jeffrey M. Wooldridge is University Distinguished Professor of Economics at Michigan State University, where he has taught since 1991. From 1986 to 1991, he was an assistant professor of economics at the Massachusetts Institute of Technology. He received his bachelor of arts, with majors in computer science and economics, from the University of California, Berkeley, in 1982, and received his doctorate in economics in 1986 from the University of California, San Diego. He has published more than 60 articles in internationally recognized journals, as well as several book chapters. He is also the author of Econometric Analysis of Cross Section and Panel Data, second edition. His awards include an Alfred P. Sloan Research Fellowship, the Plura Scripsit award from Econometric Theory, the Sir Richard Stone prize from the Journal of Applied Econometrics, and three graduate teacher-of-the-year awards from MIT. He is a fellow of the Econometric Society and of the Journal of Econometrics. He is past editor of the Journal of Business and Economic Statistics, and past econometrics coeditor of Economics Letters. He has served on the editorial boards of Econometric Theory, the Journal of Economic Literature, the Journal of Econometrics, the Review of Economics and Statistics, and the Stata Journal. He has also acted as an occasional econometrics consultant for Arthur Andersen, Charles River Associates, the Washington State Institute for Public Policy, Stratus Consulting, and Industrial Economics, Incorporated.

Table of Contents

Chapter 1The Nature of Econometrics and Economic Data1
Part 1Regression Analysis with Cross-Sectional Data21
Chapter 2The Simple Regression Model22
Chapter 3Multiple Regression Analysis: Estimation68
Chapter 4Multiple Regression Analysis: Inference116
Chapter 5Multiple Regression Analysis: OLS Asymptotics166
Chapter 6Multiple Regression Analysis: Further Issues182
Chapter 7Multiple Regression Analysis with Qualitative Information: Binary (or Dummy) Variables218
Chapter 8Heteroskedasticity257
Chapter 9More on Specification and Data Problems289
Part 2Regression Analysis with Time Series Data323
Chapter 10Basic Regression Analysis with Time Series Data324
Chapter 11Further Issues in Using OLS with Time Series Data360
Chapter 12Serial Correlation and Heteroskedasticity in Time Series Regressions391
Part 3Advanced Topics425
Chapter 13Pooling Cross Sections Across Time. Simple Panel Data Methods426
Chapter 14Advanced Panel Data Methods461
Chapter 15Instrumental Variables Estimation and Two Stage Least Squares484
Chapter 16Simultaneous Equations Models525
Chapter 17Limited Dependent Variable Models and Sample Selection Corrections553
Chapter 18Advanced Time Series Topics600
Chapter 19Carrying out an Empirical Project646
Appendices
Appendix ABasic Mathematical Tools675
Appendix BFundamentals of Probability696
Appendix CFundamentals of Mathematical Statistics731
Appendix DSummary of Matrix Algebra776
Appendix EThe Linear Regression Model in Matrix Form787
Appendix FAnswers to Chapter Questions802
Appendix GStatistical Tables815
References823
Glossary831
Index849
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