Introductory Econometrics: A Modern Approach

Book Description
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 Info
Text recognizing that econometrics has moved from a specialized mathematical description of economics to an applied interpretation based on empirical research techniques. Bridges the gap between the mechanics of econometrics and modern applications of econometrics by employing a systematic approach. Introductory text.


About the Author
Jeffrey M. Wooldridge is professor of economics at Michigan State University, where he has taught since 1991. From 1986 to 1991, Dr. Wooldridge 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. Dr. Wooldridge has published more than two dozen articles in internationally recognized journals, as well as several book chapters. His awards include an Alfred P. Sloan Research Fellowship, the Multa 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 also a fellow of the Journal of Econometrics. Dr. Wooldridge has been editor of the Journal of Business and Economic Statistics, econometrics co-editor of Economics Letters, and has served on the editorial boards of the Journal of Econometrics and the Review of Economics and Statistics. He has also acted as an occasional econometrics consultant for Arthur Andersen, Chicago, and Charles River Associates, Boston.


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Though it focuses on the use of cross-sectional data and time series data for regression analysis, this textbook also addresses advanced topics like panel data methods, instrumental variables estimation, simultaneous equations, limited dependent variable models, and the process of empirical research. Appendixes contain basic information on mathematical tools, probability, mathematical statistics, matrix algebra, and linear regression, as well as statistical tables and a glossary. Woolridge teaches at Michigan State University. Annotation c. Book News, Inc., Portland, OR (booknews.com)


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