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.
Jeffrey Marc Wooldridge (born 1960) is an American econometrician at Michigan State University. He is known for his theoretical contributions to analysis of cross-sectional and panel data.
After graduating in computer science and economics from the University of California, Berkeley in 1982, Wooldridge earned a Ph.D. in economics from the University of California, San Diego in 1986. He spent five years as an assistant professor of economics at the Massachusetts Institute of Technology, before joining faculty at Michigan State University, where he became a professor in 1993. He was designated University Distinguished Professor in 2001.
Wooldridge is a Fellow of the Econometric Society and of the Journal of Econometrics. He is also known as the author of the popular econometrics textbooks Introductory Econometrics: A Modern Approach and Econometric Analysis of Cross Section and Panel Data.
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
评分这本书我只啃了6章和后面的appendixA-C,Research Method的这门课只这些内容。我本科没有学过计量经济学,统计学也等于没学过,所以RM这门课开的时候我等于听天书,开课时pro知道我非金融背景问我有没有学过计量经济学,我就知道这门课又是异常痛苦了。过完圣诞之后我才从图书...
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...
评分这本书我只啃了6章和后面的appendixA-C,Research Method的这门课只这些内容。我本科没有学过计量经济学,统计学也等于没学过,所以RM这门课开的时候我等于听天书,开课时pro知道我非金融背景问我有没有学过计量经济学,我就知道这门课又是异常痛苦了。过完圣诞之后我才从图书...
评分这是本非常漂亮的学术著作 读起来很愉悦 虽然在技术上不是很难 但对计量经济学的解说却非常到位 同时例子也非常丰富 如果能够认真看过两遍 作出合适的实证研究应该不是问题 稍微指出一点瑕疵: 就是这本书在印刷上存在一定的错误 (非常少的地方存在翻译错误) ...
Linear Models用书。话题全面,基本覆盖从初级到中高级最常用的回归、建模和方法(上课只学了大约六成)。十分注重解释模型和统计原则的数学原理。主要目标读者群是经济学学者,由于学科术语和某些思维差异,一些内容对其他学科学者来说略显晦涩。电脑习题基于STATA,配套的课程网站有大量数据包下载,使用非常方便。
评分既可以做本科入门教材,也适合研究生读
评分Econ的视角切入,伍德里奇出品,必须精彩
评分Topics cover得很全,既适合初学者也适合想读懂更多实证研究的人。
评分教材很不错的!课有一点简单一点水。。。Econ 410
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