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Titlebook: Economic Structural Change; Analysis and Forecas Peter Hackl,Anders Holger Westlund Conference proceedings 1991 Springer-Verlag Berlin Heid

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书目名称Economic Structural Change
副标题Analysis and Forecas
编辑Peter Hackl,Anders Holger Westlund
视频video
图书封面Titlebook: Economic Structural Change; Analysis and Forecas Peter Hackl,Anders Holger Westlund Conference proceedings 1991 Springer-Verlag Berlin Heid
描述Structural change is a fundamental concept in economic model building. Statistics and econometrics provide the tools for identification of change, for estimating the onset of a change, for assessing its extent and relevance. Statistics and econometrics also have de­ veloped models that are suitable for picturing the data-generating process in the presence of structural change by assimilating the changes or due to the robustness to its presence. Important subjects in this context are forecasting methods. The need for such methods became obvious when, as a consequence of the oil price shock, the results of empirical analyses suddenly seemed to be much less reliable than before. Nowadays, economists agree that models with fixed structure that picture reality over longer periods are illusions. An example for less dramatic causes than the oil price shock with similarly profound effects is economic growth and its impacts on the economic system. Indeed, economic growth was a motivating concept for this volume. In 1983, the International Institute for Applied Systems Analysis (IIASA) in Laxen­ burg/ Austria initiated an ambitious project on "Economic Growth and Structural Change".
出版日期Conference proceedings 1991
关键词Statistik; Statistische Analyse; Strukturwandel; Wachstum; calculus; econometrics; equilibrium; forecasting
版次1
doihttps://doi.org/10.1007/978-3-662-06824-3
isbn_softcover978-3-662-06826-7
isbn_ebook978-3-662-06824-3
copyrightSpringer-Verlag Berlin Heidelberg 1991
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,Top-Arbeitgeber – Wer sind die besten?,ention model, and the errors are ranked with respect to residuals in the pre-intervention period. The method is illustrated with the Los Angeles oxidant data previously analyzed by Box and Tiao (1975).
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Determinanten des Berufserfolgs,en used in a number of applications involving single equation dynamic regression. In this chapter the implications of including stochastic trends in simultaneous equation systems are considered. The issue of identifiability is discussed, and full information and limited information maximum likelihood estimation procedures are developed.
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Goldene Regeln in Kaufmannsfamilien,s, with allowance for serial dependence of a general kind in the disturbances. These results draw on general theorems for extremum estimates, which can also be applied to more general time-varying models.
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Bayesian Inferences about the Intersection of Two Regressions parameters, the marginal posterior density of the intersection is derived. This density can be expressed in closed form, but it is not a standard density. With numerical integration, the density can be normalized and point and interval estimators computed.
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Nonparametric Sequential Surveillance of Intervention Effects in Time Seriesention model, and the errors are ranked with respect to residuals in the pre-intervention period. The method is illustrated with the Los Angeles oxidant data previously analyzed by Box and Tiao (1975).
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Stochastic Trends in Simultaneous Equation Systemsen used in a number of applications involving single equation dynamic regression. In this chapter the implications of including stochastic trends in simultaneous equation systems are considered. The issue of identifiability is discussed, and full information and limited information maximum likelihood estimation procedures are developed.
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