commotion 发表于 2025-3-21 16:43:21

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Cumbersome 发表于 2025-3-21 22:36:35

https://doi.org/10.1057/978-1-137-31303-4econometrics; economics; modelling; stationary data; conventional time series; impulse responses; small sa

窃喜 发表于 2025-3-22 04:03:23

978-0-230-24331-6The Editor(s) (if applicable) and The Author(s) 2017

Unsaturated-Fat 发表于 2025-3-22 08:35:57

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转折点 发表于 2025-3-22 12:35:15

John Hunter,Simon P. Burke,Alessandra CanepaFocuses on the multivariate nature of the problem of modelling non-stationary economic time series.Handles recent developments in Time Series Analysis.Has relevance for aspects of regulation and compe

HEPA-filter 发表于 2025-3-22 16:21:17

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独裁政府 发表于 2025-3-22 17:41:05

Book 2017Latest editiondels. The authors provide a detailed and extensive study of impulse responses and forecasting in the stationary and non-stationary context, considering small sample correction, volatility and the impact of different orders of integration. Models with expectations are considered along with alternate

熟练 发表于 2025-3-22 21:32:38

Book 2017Latest editionns methods to develop topics, and as examples of the notion of cointegration, Burke, Hunter, and Canepa provide direction and guidance to the now vast literature facing students and graduate economists..

忍受 发表于 2025-3-23 05:21:28

Multivariate Modelling of Non-Stationary Economic Time Series

Scintillations 发表于 2025-3-23 09:22:17

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查看完整版本: Titlebook: Multivariate Modelling of Non-Stationary Economic Time Series; John Hunter,Simon P. Burke,Alessandra Canepa Book 2017Latest edition The Ed