Researchers use interrupted time-series analysis to identify the influence of treatments on social or organizational processes. Methods for analyzing interrupted time-series, such as intervention analysis and the Chang et a/. (1988) procedure have limitations that could lead to erroneous conclusion
Identifying the time-effect factors of multiple time series
β Scribed by Yu-pin Hu
- Publisher
- John Wiley and Sons
- Year
- 2005
- Tongue
- English
- Weight
- 88 KB
- Volume
- 24
- Category
- Article
- ISSN
- 0277-6693
- DOI
- 10.1002/for.948
No coin nor oath required. For personal study only.
β¦ Synopsis
Abstract
The PeΓ±aβBox model is considered for finding the timeβeffect factors of a multiple time series. This paper first establishes the connection between the PeΓ±aβBox model and the vector ARMA model. According to the PeΓ±aβBox model, some series can be ignored while modelling the vector ARMA model. A consistent estimator is then proposed to identify the model for nonlinear and nonstationary time series. Finally, the finiteβsample behaviour of the estimator is illustrated via simulations.βCopyright Β© 2005 John Wiley & Sons, Ltd.
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