You'll find the "econ" back in econometrics with INTRODUCTION TO APPLIED ECONOMETRICS and its accompanying CD.. You'll have the opportunity to replicate classic empirical findings using original data sets and will develop an understanding of the relevance of economic theory to empirical analysis. The author integrates classic empirical examples and applications and builds toward a self-contained four-chapter introduction to time series analysis. The CD includes data sets formatted for STATA, Eviews, Excel, Minitab, SAS and ASCII, as well as an appendix presenting multiple regression in matrix form and another on treating portfolio theory and the capital asset pricing model.
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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.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Vendeur : Anybook.com, Lincoln, Royaume-Uni
Etat : Good. This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1700grams, ISBN:9780534369163. N° de réf. du vendeur 5582158
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