Classification and Clustering in Business Cycle Analysis.
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«, »recess...
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Duncker & Humblot
2007
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=nlebk&AN=561583&site=ehost-live header: @attributes: shortDbName: nlebk uiTerm: 561583 longDbName: eBook Collection (EBSCOhost) uiTag: AN controlInfo: bkinfo: btl: Classification and Clustering in Business Cycle Analysis. aug: au: Ullrich Heilemann Claus Weihs sertl: RWI Schriften isbn: 9783428124251 9783428524259 imageinfo: pubinfo: dt: @attributes: year: 2007 month: 01 day: 01 dtAvail: @attributes: year: 2014 month: 02 day: 04 vid: 00079 pub: Duncker & Humblot pubContract: Duncker und Humblot Verlag place: Berlin price: 0.01 limitsGroup: maxCheckoutDays: 1500 pda: N printPagesOffline: 100 printPagesOnline: 100 previewPages: 0 prePubGroup: dewey: @attributes: class: 338.544 item: 338 .544 lc: @attributes: class: HB3743 .C628 2007eb item: HB 3743 .C628 2007eb artinfo: ui: 561583 715174107 formats: fmt: @attributes: type: EB doid: NL$561583$PDF caption: PDF download: Y tig: atl: Classification and Clustering in Business Cycle Analysis. ptl: Classification and Clustering in Business Cycle Analysis. aug: au: Ullrich Heilemann Claus Weihs su: Business cycles--Germany--Statistics--Congresses Business cycles--United States--Statistics--Congresses sug: subj: BUSINESS & ECONOMICS / Forecasting Business cycles--Germany--Statistics--Congresses Business cycles--United States--Statistics--Congresses ab: 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. pubtype: eBook doctype: Book ougenre: Book language: German copyright: @attributes: flag: N copyrightText: holdings: @attributes: islocal: N |
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