INTRODUCTION TO APPLIED ECONOMETRICS puts the "econ" back in econometrics by integrating classic empirical examples and applications into an introductory development of econometrics. This book rethinks the pedagogy of econometrics so as to build toward an introduction to recent developments in time series analysis, as opposed to the traditional approach that culminates in a treatment of simultaneous equations. This permits a focus on a more limited set of theoretical principles and analytical tools than is true of most books. The text is appropriate for both undergraduate and graduate students at four-year colleges and universities. While it does not employ matrix algebra as purely graduate level texts do, it seeks to present a well-developed and better-motivated approach through the use of applications and case studies. Its coverage goes beyond the ordinary by including three chapters on time series techniques.
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Ken Stewart holds an Honors B.A. in Economics and Mathematics from Dalhousie University, an M.Sc. in Economics from the London School of Economics and Political Science, and an M.A. in Economics, an M.A. in Statistics, and a Ph.D. in Economics from the University of Michigan. This book is the product of many years of teaching statistics and econometrics at the undergraduate and graduate levels. Professor Stewart's research is in theoretical and applied econometrics. His theoretical work deals with the properties of test statistics, while his applied work is chiefly in the areas of demand analysis and empirical industrial organization. He is currently an Associate Professor of Economics at the University of Victoria in Victoria, British Columbia, where he lives with his wife Rose and their children Benjamin, Alexander, Eleanor, and Andrew.
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