Economic time series : modeling and seasonality

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書誌事項

Economic time series : modeling and seasonality

edited by William R. Bell, Scott H. Holan, Tucker S. McElroy

CRC Press, c2012

大学図書館所蔵 件 / 10

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注記

Includes bibliographical references and index

内容説明・目次

内容説明

Economic Time Series: Modeling and Seasonality is a focused resource on analysis of economic time series as pertains to modeling and seasonality, presenting cutting-edge research that would otherwise be scattered throughout diverse peer-reviewed journals. This compilation of 21 chapters showcases the cross-fertilization between the fields of time series modeling and seasonal adjustment, as is reflected both in the contents of the chapters and in their authorship, with contributors coming from academia and government statistical agencies. For easier perusal and absorption, the contents have been grouped into seven topical sections: Section I deals with periodic modeling of time series, introducing, applying, and comparing various seasonally periodic models Section II examines the estimation of time series components when models for series are misspecified in some sense, and the broader implications this has for seasonal adjustment and business cycle estimation Section III examines the quantification of error in X-11 seasonal adjustments, with comparisons to error in model-based seasonal adjustments Section IV discusses some practical problems that arise in seasonal adjustment: developing asymmetric trend-cycle filters, dealing with both temporal and contemporaneous benchmark constraints, detecting trading-day effects in monthly and quarterly time series, and using diagnostics in conjunction with model-based seasonal adjustment Section V explores outlier detection and the modeling of time series containing extreme values, developing new procedures and extending previous work Section VI examines some alternative models and inference procedures for analysis of seasonal economic time series Section VII deals with aspects of modeling, estimation, and forecasting for nonseasonal economic time series By presenting new methodological developments as well as pertinent empirical analyses and reviews of established methods, the book provides much that is stimulating and practically useful for the serious researcher and analyst of economic time series.

目次

Periodic Modeling of Economic Time Series. Estimating Time Series Components with Misspecified Models. Quantifying Error in X-11 Seasonal Adjustments. Practical Problems in Seasonal Adjustment. Outlier Detection and Modeling Time Series with Extreme Values. Alternative Models for Seasonal and Other Time Series Components. Modeling and Estimation for Nonseasonal Economic Time Series.

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