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.
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之前学过Green的，这本感觉是同类教材里面讲的最清楚的。
评分This unconventional setting of econometrics with lots of geometrical intuition is simply awesome.
评分把复杂的计量用简单的空间几何表达，赞！
评分虽然上经典教材执笔者的课是荣幸，但是真的好难懂…我们之前仅有的知识背景就是统计课里的linear regression，学校真的不是在揠苗助长？…但还是五星啦，多看几遍竟然还挺有意思的
评分把复杂的计量用简单的空间几何表达，赞！
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