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Econometrics for Dummies '13

Pedace, Roberto  著

在庫状況 海外在庫有り  お届け予定日 20日間  数量 冊 
価格 特価  \6,116(税込)         

発行年月 2013年07月
出版社/提供元
出版国 アメリカ合衆国
言語 英語
媒体 冊子
装丁 paper
ページ数/巻数 368 p.
ジャンル 洋書/社会科学/経済学/数理経済・計量経済・実験経済
ISBN 9781118533840
商品コード 1011733155
商品URL
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https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=1011733155

内容

Learn to: Grasp the techniques and applications of econometrics Make sense of complex concepts and material Use specialized software to apply your acquired econometrics skills Understand econometric theory and apply econometric techniques Econometrics can prove challenging for many students. Thankfully, Econometrics For Dummies eliminates that confusion with easy-to-understand explanations of important topics in the study of econometrics. This hands-on, friendly guide breaks down the complex subject of econometrics and provides you with an easy-to-follow course supplement to further refine your understanding of how econometrics works and how it can be applied in real-world situations. The nuts and bolts ? get familiar with the various characteristics of the classical linear regression model (CLRM), which is the foundation of traditional econometric analysis Form and function ? discover how econometric analysis is able to accommodate a considerable amount of flexibility with different mathematical functions and types of data Don't assume ? find out how econometricians use some bizarre titles to identify problems that violate CLRM assumptions Be discrete ? get to know how discrete and restricted dependent variables can create problems for traditional regression analysis and discover the techniques econometricians have developed to modify traditional regression analysis Make special note ? delve deeper into a few specialized areas of econometrics, namely time-series analysis, pooled cross sections, and panel econometrics Open the book and find: Plain-English explanations of complex material Computer outputs from STATA for many of the examples The economist's approach to statistical analysis The various characteristics of the classical linear regression model The most common problems encountered when performing regression analysis Lots of helpful figures Common mistakes in applied econometrics

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