Classification and clustering in business cycle analysis

Hauptbeschreibung 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...

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Detalles Bibliográficos
Autores Corporativos: Rheinisch-Westfalisches Institut fur Wirtschaftsforschung Essen (-), Universitat Dortmund. Fachbereich Statistik
Otros Autores: Heilemann, Ullrich (-), Weihs, Claus
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berlin : Duncker & Humblot c2007.
Colección:RWI Schriften ; Heft 79.
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009439512906719
Descripción
Sumario:Hauptbeschreibung 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
Notas:Conference papers.
Descripción Física:1 online resource (168 p.)
Bibliografía:Includes bibliographical references.
ISBN:9783428524259