Forecasting Economic Time Series (Record no. 1349)

000 -LEADER
fixed length control field 01845nam a2200253Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field DE-boiza
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200115112251.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 191008
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-0-521-63480-9
040 ## - CATALOGING SOURCE
Transcribing agency IZA
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Clements, Michael
9 (RLIN) 3822
Personal name Hendry, David
9 (RLIN) 3356
245 #0 - TITLE STATEMENT
Title Forecasting Economic Time Series
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Date of publication, distribution, etc. 1998
Name of publisher, distributor, etc. Cambridge University Press,
Place of publication, distribution, etc. Cambridge,
300 ## - PHYSICAL DESCRIPTION
Extent 368 pages
340 ## - PHYSICAL MEDIUM
Location within medium C5 01
520 ## - SUMMARY, ETC.
Summary, etc. This book provides a formal analysis of the models, procedures, and measures of economic forecasting with a view to improving forecasting practice. David Hendry and Michael Clements base the analyses on assumptions pertinent to the economies to be forecast, viz. a non-constant, evolving economic system, and econometric models whose form and structure are unknown a priori. The authors find that conclusions which can be established formally for constant-parameter stationary processes and correctly-specified models often do not hold when unrealistic assumptions are relaxed. Despite the difficulty of proceeding formally when models are mis-specified in unknown ways for non-stationary processes that are subject to structural breaks, Hendry and Clements show that significant insights can be gleaned. For example, a formal taxonomy of forecasting errors can be developed, the role of causal information clarified, intercept corrections re-established as a method for achieving robustness against forms of structural change, and measures of forecast accuracy re-interpreted.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element forecasting
9 (RLIN) 5472
Topical term or geographic name entry element time series
9 (RLIN) 3358
Topical term or geographic name entry element Monte Carlo techniques
9 (RLIN) 6438
Topical term or geographic name entry element macroeconometric models
9 (RLIN) 6439
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://www.cambridge.org/core/books/forecasting-economic-time-series/E760D839B4D447FF475373ED848583E7#fndtn-contents">https://www.cambridge.org/core/books/forecasting-economic-time-series/E760D839B4D447FF475373ED848583E7#fndtn-contents</a>
Link text Publisher's website
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Monography
Source of classification or shelving scheme
Holdings
Withdrawn status Lost status Damaged status Not for loan Permanent Location Current Location Date acquired Full call number Barcode Date last seen Price effective from Koha item type
        Library Library 2019-10-08 C5 01 1472 2019-10-08 2019-10-08 Monography
Deutsche Post Stiftung
 
Istitute of Labor Economics
 
Institute for Environment & Sustainability
 

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