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A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024

A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends
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Bergstrom, Albert Rex/ Nowman, Khalid Ben 作者
Cambridge Univ Pr
譯者
2007-4 出版日期
312 頁數
$ 138.99 價格
HRD
叢書系列
9780521875493 圖書編碼

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A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends 在線電子書 用戶評價

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A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends 在線電子書 著者簡介

A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends 在線電子書 著者簡介

A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

A Continuous Time Econometric Model of the United Kingdom with Stochastic Trends 在線電子書 圖書描述

Over the last thirty years there has been extensive use of continuous time econometric methods in macroeconomic modelling. This 2007 monograph presents a continuous time macroeconometric model of the United Kingdom incorporating stochastic trends. Its development represents a major step forward in continuous time macroeconomic modelling. The book describes the model in detail and, like earlier models, it is designed in such a way as to permit a rigorous mathematical analysis of its steady-state and stability properties, thus providing a valuable check on the capacity of the model to generate plausible long-run behaviour. The model is estimated using newly developed exact Gaussian estimation methods for continuous time econometric models incorporating unobservable stochastic trends. The book also includes discussion of the application of the model to dynamic analysis and forecasting.

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