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Economic Time Series - Modeling and Seasonality (Hardcover, New)
Loot Price: R3,491
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Economic Time Series - Modeling and Seasonality (Hardcover, New)
Expected to ship within 12 - 17 working days
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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.
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