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.
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.
分成上下册两本,纸质纯木浆制作,很白很光滑,是中文版的,美中不足就是后面的索引部分页码不对(因为是直接从英文版翻译过来的),不过还好吧,配合着英文版看就Perfect了,就是书比较贵。
评分分成上下册两本,纸质纯木浆制作,很白很光滑,是中文版的,美中不足就是后面的索引部分页码不对(因为是直接从英文版翻译过来的),不过还好吧,配合着英文版看就Perfect了,就是书比较贵。
评分其实主要内容就是Multiple Regression Analysis。内容经典,听说是国内许多经济系的课本。 理论性偏强,不够实用化。不过从另一方面来讲,范例讲的都比较明白。 强烈推荐附录里关于“如何做实证研究”的指南文章。完全是DIY研究的完整的to do list啊!以后做研究就照着这上面...
评分分成上下册两本,纸质纯木浆制作,很白很光滑,是中文版的,美中不足就是后面的索引部分页码不对(因为是直接从英文版翻译过来的),不过还好吧,配合着英文版看就Perfect了,就是书比较贵。
评分译者文字功底不行,文字很生硬,看得很蛋疼,前后两句话不知道有什么因果关系~ 远不如萨缪尔森那本经济学翻译得友好
有的地方不用数学也说不明白,还不如不讲;排版不行
评分452课本
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。
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。
评分哭了,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。
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