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Sinopsis
In 1984, the University of Bonn (FRG) and the International Institute for Applied System Analysis (IIASA) in Laxenburg (Austria), created a joint research group to analyze the relationship between economic growth and structural change. The research team was to examine the commodity composition as well as the size and direction of commodity and credit flows among countries and regions. Krelle (1988) reports on the results of this "Bonn-IIASA" research project. At the same time, an informal IIASA Working Group was initiated to deal with prob- lems of the statistical analysis of economic data in the context of structural change: What tools do we have to identify nonconstancy of model parameters? What type of models are particularly applicable to nonconstant structure? How is forecasting affected by the presence of nonconstant structure? What problems should be anticipated in applying these tools and models? Some 50 experts, mainly statisticians or econometricians from about 15 countries, came together in Lodz, Poland (May 1985); Berlin, GDR (June 1986); and Sulejov, Poland (September 1986) to present and discuss their findings. This volume contains a selected set of those conference contributions as well as several specially invited chapters.
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Reseña del editor
In 1984, the University of Bonn (FRG) and the International Institute for Applied System Analysis (IIASA) in Laxenburg (Austria), created a joint research group to analyze the relationship between economic growth and structural change. The research team was to examine the commodity composition as well as the size and direction of commodity and credit flows among countries and regions. Krelle (1988) reports on the results of this "Bonn-IIASA" research project. At the same time, an informal IIASA Working Group was initiated to deal with prob lems of the statistical analysis of economic data in the context of structural change: What tools do we have to identify nonconstancy of model parameters? What type of models are particularly applicable to nonconstant structure? How is forecasting affected by the presence of nonconstant structure? What problems should be anticipated in applying these tools and models? Some 50 experts, mainly statisticians or econometricians from about 15 countries, came together in Lodz, Poland (May 1985); Berlin, GDR (June 1986); and Sulejov, Poland (September 1986) to present and discuss their findings. This volume contains a selected set of those conference contributions as well as several specially invited chapters.
Reseña del editor
This book treats methods and problems of the statistical analysis of economic data in the context of structural change. It documents the state of the art, gives insights into existing methods and describes new developments and trends. An introductory chapter gives a survey of the book and puts the following chapters into a broader context. The rest of the volume is organized in three parts. - Identification of Structural Change: This part is con cerned with the detection of parameter nonconstancy. - Model Building in the Presence of Structural Change: In this part models are addressed that are generaliza tions of constant parameter models. - Data Analysis and Modeling: This part deals with real life structural change situations. The book is intended to stimulate and improve communication between economists and statisticians concerning methods and their corresponding fields of application that are of increasing importance for both theory and practice.
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Statistical Analysis and Forecasting of Economic Structural Change. With 98 Figures. (= IIASA - International Institute for Applied Systems Analysis).
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Statistical analysis and forecasting of economic structural change.
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Statistical Analysis and Forecasting of Economic Structural Change
Librería: NEPO UG, Rüsselsheim am Main, Alemania
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Condición: Sehr gut. Auflage: 1st ed. 1989. 2nd printing. 490 Seiten ex Library Book / aus einer wissenschafltichen Bibliothek / Sprache: Englisch Gewicht in Gramm: 969 0,0 x 0,0 x 0,0 cm, Gebundene Ausgabe. Nº de ref. del artículo: 366752
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