Classification and Clustering in Business Cycle Analysis (Record no. 48154)

MARC details
000 -LEADER
fixed length control field 02715naaaa2200289uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/43336
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220219223132.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-3-428-52425-9
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783428524259
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3790/978-3-428-52425-9
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Weihs, Claus
Relationship auth
245 10 - TITLE STATEMENT
Title Classification and Clustering in Business Cycle Analysis
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Duncker & Humblot
Date of publication, distribution, etc. 2007
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (166 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc. The analysis of cyclical macroeconomic phenomena is an important field of econometric research. In the recent past, research interests have de-emphasized quantitative forecasting exercises and have addressed the qualitative diagnosis of the relative stance of the economy regarding »upswing«, »recession«, or »boom« periods, i. e. the classification of the state of the economy into a limited number of discrete states. In this context the principal challenge is to reduce the multifaceted and sometimes abundant quantitative information about the business cycle to such qualitative statements in an efficient way. For more than six years this task was the focus of the project »Multivariate determination and analysis of business cycles« within the SFB 475 »Reduction of complexity in multivariate data structures«, funded by the German Research Foundation (DFG). The necessity for complexity reduction is, of course, not unique to business cycle analysis but is studied in many fields and in a number of ways. This broad interest in the reduction of problem dimensionality and in the appropriate combination of data and of theory caused the RWI Essen and the Statistical Department of the University of Dortmund in January 2002 to hold a workshop at the RWI Essen where the findings of this and similar projects were presented and discussed. The present publication collects revised versions of the papers presented at this workshop. Although the workshop took place some five years ago, these papers mark an importent juncture in the development of business cycle research.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
Use and reproduction rights https://creativecommons.org/licenses/by-nc-nd/4.0/
Source of term cc
-- https://creativecommons.org/licenses/by-nc-nd/4.0/
546 ## - LANGUAGE NOTE
Language note English
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Makroökonomie
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Business Cycle
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Cluster
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Heilemann, Ullrich
Relationship auth
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://elibrary.duncker-humblot.com/publikation/b/id/31879/">https://elibrary.duncker-humblot.com/publikation/b/id/31879/</a>
Access status 0
Public note DOAB: download the publication
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/43336">https://directory.doabooks.org/handle/20.500.12854/43336</a>
Access status 0
Public note DOAB: description of the publication

No items available.