This text provides a unified treatment of modern econometric theory and practical econometric methods. The geometrical approach to least squares is emphasized, as is the method of moments, which is used to motivate a wide variety of estimators and tests. Simulation methods, including the bootstrap, are introduced early and used extensively. The book deals with a large number of modern topics. In addition to bootstrap and Monte Carlo tests, these include sandwich covariance matrix estimators, artificial regressions, estimating functions and the generalized method of moments, indirect inference, and kernel estimation. Every chapter incorporates numerous exercises, some theoretical, some empirical, and many involving simulation. Econometric Theory and Methods is designed for beginning graduate courses. The book is suitable for both one- and two-term courses at the Masters or Ph.D. level. It can also be used in a final-year undergraduate course for students with sufficient backgrounds in mathematics and statistics.
具体描述
读后感
用户评价
700页的篇幅却没有一个application，介绍得非常详细，缺陷则是大篇幅的文字，看起来像是在做阅读理解，部分章节甚至有点啰嗦
评分比较简单明了。
评分another example of how to explain metrics from a higher intellectual dimension. although old but very classic book, and MacKinnon is a well established scholar.
评分精彩。
评分这本书是高级的计量了，相当难读，如果不是有很深的计量背景或是很牛的老师辅导，不建议挑战。我们当时是有老师的辅助教材才被老师硬推着读的。。
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