The last decade has brought dramatic changes in the way that researchers analyze economic and financial time series. This book synthesizes these recent advances and makes them accessible to first-year graduate students. James Hamilton provides the first adequate text-book treatments of important innovations such as vector autoregressions, generalized method of moments, the economic and statistical consequences of unit roots, time-varying variances, and nonlinear time series models. In addition, he presents basic tools for analyzing dynamic systems (including linear representations, autocovariance generating functions, spectral analysis, and the Kalman filter) in a way that integrates economic theory with the practical difficulties of analyzing and interpreting real-world data. "Time Series Analysis" fills an important need for a textbook that integrates economic theory, econometrics, and new results. The book is intended to provide students and researchers with a self-contained survey of time series analysis. It starts from first principles and should be readily accessible to any beginning graduate student, while it is also intended to serve as a reference book for researchers.
时间序列分析
社科
I’ve been reading Time Series Analysis (‘Hamilton’) for 6 months. Today I officially finished reading the book. Last year, I finished Microeconomic Theory (’MWG’) and Time Series Analysis, both of which have greatly transformed my understanding regardi...
评分不是搞计量的,随便写两句吧。大砖头适合锻炼。本科生时老师总喜欢吓唬我们这本书有多么多么高深,“全是数学”,自己读了研究生才知道内容一点不难。这本书已经快20岁了,早已不是前沿。如果纯为应用的话,学一遍,知道大概是怎么回事就行了,所有的估计量都可以在计量软件里...
评分I’ve been reading Time Series Analysis (‘Hamilton’) for 6 months. Today I officially finished reading the book. Last year, I finished Microeconomic Theory (’MWG’) and Time Series Analysis, both of which have greatly transformed my understanding regardi...
评分在计量经济学界里,这本无疑是一本优秀的入门教材(时间序列方面)。 说下它的不足吧: 第六章多余,既不承上,也不启下,平稳时序的谱分析及谱表达,书中虽有部分涉及,可读完后根本知道有何用。 第十二章多余,时序分析的Bayesian视角已经可以写一本书了。 第十三章不足,Kal...
评分不是搞计量的,随便写两句吧。大砖头适合锻炼。本科生时老师总喜欢吓唬我们这本书有多么多么高深,“全是数学”,自己读了研究生才知道内容一点不难。这本书已经快20岁了,早已不是前沿。如果纯为应用的话,学一遍,知道大概是怎么回事就行了,所有的估计量都可以在计量软件里...
翻过几章,快二十年的书,若做一般的时间序列,现在看来仍不过时
评分可惜了后面因为实习没学完
评分好书,但是听见我心碎的声音
评分这本比Tsay那本好在不太跳证明步骤,以及居然友善到把矩阵都画了出来…免掉好多自己在草稿上涂抹的过程……
评分非常扎实的一本教材。推导证明娓娓道来,因为教授的notes是follow这本书,阅读过程非常愉快。
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