This graduate text provides an intuitive but rigorous treatment of contemporary methods used in microeconometric research. The book makes clear that applied microeconometrics is about the estimation of marginal and treatment effects, and that parametric estimation is simply a means to this end. It also clarifies the distinction between causality and statistical association.<br /> <br /> The book focuses specifically on cross section and panel data methods. Population assumptions are stated separately from sampling assumptions, leading to simple statements as well as to important insights. The unified approach to linear and nonlinear models and to cross section and panel data enables straightforward coverage of more advanced methods. The numerous end-of-chapter problems are an important component of the book. Some problems contain important points not fully described in the text, and others cover new ideas that can be analyzed using tools presented in the current and previous chapters. Several problems require the use of the data sets located at the author's website.
这条大概评了计量里用到的4本儿书。从8211到8212到8221-8228 2个PhD level的sequence课,这本书都是老师推荐又有推荐的书。作为同样推荐的Greene, Hayashi, 和Hamilton的time series,加起来给了完善的grad-level计量架构。Greene到GMM之前的GLS讲解作为第一个sequence课程的教...
评分这条大概评了计量里用到的4本儿书。从8211到8212到8221-8228 2个PhD level的sequence课,这本书都是老师推荐又有推荐的书。作为同样推荐的Greene, Hayashi, 和Hamilton的time series,加起来给了完善的grad-level计量架构。Greene到GMM之前的GLS讲解作为第一个sequence课程的教...
评分如果想真正掌握现代计量经济学,这本书必须仔细阅读,而且不止一遍。不妨做好详细的笔记,完成课后的部分习题(有答案书)。 我的很多同学都说,读了这本书,才真正理解计量的一些思维方式。相比而言,Greene没有什么思想,大杂烩而已;Johnston略浅;Hayashi有辉煌的前4章,...
评分如果想真正掌握现代计量经济学,这本书必须仔细阅读,而且不止一遍。不妨做好详细的笔记,完成课后的部分习题(有答案书)。 我的很多同学都说,读了这本书,才真正理解计量的一些思维方式。相比而言,Greene没有什么思想,大杂烩而已;Johnston略浅;Hayashi有辉煌的前4章,...
评分学习的时候读过一遍,做论文的时候又先后翻了两次,差不多把这本书上的所有方法都用stata做了一遍,实在是本微观计量的圣经。但是内容还是有所欠缺,非参数半参数分位数回归一点没提,simulated based econometrics也没讲,听说wooldridge新版正在准备中,加入了这些内容,目前...
microeconometrics
评分microeconometrics
评分伍德虐我千百遍,我却待他如初恋
评分个人观点,这一本的结构比Wooldridge那本著名的Introductory要混乱,不过详细程度还是不错的。Panel data这里Hsiao(2003)Analysis of Panel Data是本不错的教材(还是个人观点)。
评分因为论文里的一个原因,又拿起这本书读了Probit IV那一节。卧槽写得太清楚了,当初硕士的时候囫囵吞枣读了前几章都没留下什么印象,简直是暴殄天物
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