Introductory Econometrics

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Jeffrey M. Wooldridge is a University Distinguished Professor of Economics at Michigan State University, where he has taught since 1991. From 1986 to 1991, he served as Assistant Professor of Economics at the Massachusetts Institute of Technology. Dr. Wooldridge has published more than three dozen 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. His work has earned numerous awards, including the 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. A fellow of the Econometric Society and of the Journal of Econometrics, Dr. Wooldridge has been editor of the Journal of Business and Economic Statistics and econometrics co-editor of Economics Letters. He has also served on the editorial boards of the Journal of Econometrics and the Review of Economics and Statistics. Dr. Wooldridge received his B.A. with majors in computer science and economics from the University of California, Berkeley, and received his Ph.D. in economics from the University of California, San Diego.

出版者:Cengage Learning
作者:Jeffrey M. Wooldridge
出品人:
页数:912
译者:
出版时间:2012-9-26
价格:USD 307.00
装帧:Hardcover
isbn号码:9781111531041
丛书系列:
图书标签:
  • Econometrics 
  • 计量经济学 
  • 社会科学 
  • 课本 
  • 院生时期 
  • 经济学 
  • 经济 
  • 大三 
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Discover how empirical researchers today actually think about and apply econometric methods with the practical, professional approach in Wooldridge's INTRODUCTORY ECONOMETRICS: A MODERN APPROACH, 5E. Unlike traditional books on the subject, INTRODUCTORY ECONOMETRICS' unique presentation demonstrates how econometrics has moved beyond just a set of abstract tools to become a genuinely useful tool for answering questions in business, policy evaluation, and forecasting environments. Organized around the type of data being analyzed, the book uses a systematic approach that only introduces assumptions as they are needed, which makes the material easier to understand and ultimately leads to better econometric practices. Packed with timely, relevant applications, the text emphasizes incorporates close to 100 intriguing data sets in six formats and offers updates that reflect the latest emerging developments in the field.

具体描述

读后感

评分

人大版翻译的国外经典教材真难读,糟糕的翻译,似乎译者不是中国人,如此这般的书面表达真让人佩服,还存在很多错误,对人大的这套丛书失望透了。 再也不敢买人大翻译得书了。译者太不负责任了,不要因为翻译国外书不作为学术研究而急功近利,只为拿点翻译费。跟高鸿业花3年翻...  

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Great book for elementary learners in econometrics. Introduces the basic concept of econometrics by intuitively describe the thinking process underlying the main idea of econometric models. Thoroughly covers basic cross-sectional methods, then provides a we...  

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题记 IV,也就是工具变量模型,是研究如何利用工具变量来解决模型中出现的随机解释变量问题,其是西方计量经济学最近一个较为热门的研究领域。这是我在英国读研时在学习IV时的随笔,用来聊以自慰。该随笔的灵感很大一部分来自于伍德里奇的《计量经济学导论》。由于写得非常浅薄...  

评分

Great book for elementary learners in econometrics. Introduces the basic concept of econometrics by intuitively describe the thinking process underlying the main idea of econometric models. Thoroughly covers basic cross-sectional methods, then provides a we...  

评分

题记 IV,也就是工具变量模型,是研究如何利用工具变量来解决模型中出现的随机解释变量问题,其是西方计量经济学最近一个较为热门的研究领域。这是我在英国读研时在学习IV时的随笔,用来聊以自慰。该随笔的灵感很大一部分来自于伍德里奇的《计量经济学导论》。由于写得非常浅薄...  

用户评价

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例题不错,但是字实在是太密集了,原来恐怖的科目变得更加难读。

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452课本

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读起来轻松愉悦的计量教科书,可以一边喝茶,一边看。毫无心理负担。写的虽然简单,但是切中要害。能把书上写的做到准确无误,至少就可做到基本功无误。然后再谈高阶技巧。

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哭了,话多例子多公式也蛮多。感觉作者坐在身边一直在说话,读得费劲。

评分

例题不错,但是字实在是太密集了,原来恐怖的科目变得更加难读。

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