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Titlebook: Macroeconometrics and Time Series Analysis; Steven N. Durlauf,Lawrence E. Blume Book 2010 Palgrave Macmillan, a division of Macmillan Publ

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书目名称Macroeconometrics and Time Series Analysis
编辑Steven N. Durlauf,Lawrence E. Blume
视频video
丛书名称The New Palgrave Economics Collection
图书封面Titlebook: Macroeconometrics and Time Series Analysis;  Steven N. Durlauf,Lawrence E. Blume Book 2010 Palgrave Macmillan, a division of Macmillan Publ
描述Specially selected from The New Palgrave Dictionary of Economics 2nd edition, each article within this compendium covers the fundamental themes within the discipline and is written by a leading practitioner in the field. A handy reference tool.
出版日期Book 2010
关键词econometrics; economics; time series; time series analysis
版次1
doihttps://doi.org/10.1057/9780230280830
isbn_softcover978-0-230-23885-5
isbn_ebook978-0-230-28083-0Series ISSN 2947-4582 Series E-ISSN 2947-4590
issn_series 2947-4582
copyrightPalgrave Macmillan, a division of Macmillan Publishers Limited 2010
The information of publication is updating

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Bayesian methods in macroeconometrics,combine initial information about models and their parameters with sample information in a logically coherent manner by use of Bayes’ theorem. Both prior and post-data information is represented by probability distributions.
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Aggregation (econometrics), to modelling with the individual-aggregate connection in mind, creating a framework where information on individual behaviour together with co-movements of aggregates can be used to estimate a consistent econometric model.
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Heteroskedasticity and autocorrelation corrections,skedasticity and serial correlation may be of unknown form. HAC estimation is integral to empirical research using generalized method of moments (GMM) estimation (Hansen, 1982). In this article I summarize results relating to HAC estimation, with emphasis on practical rather than theoretical aspects.
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