## Abstract Much published data is subject to a process of revision due, for example, to additional source data, which generates multiple vintages of data on the same generic variable, a process termed the data measurement process or DMP. This article is concerned with several interrelated aspects
โฆ LIBER โฆ
Long memory and stochastic trend
โ Scribed by Remigijus Leipus; Marie-Claude Viano
- Book ID
- 104302018
- Publisher
- Elsevier Science
- Year
- 2003
- Tongue
- English
- Weight
- 192 KB
- Volume
- 61
- Category
- Article
- ISSN
- 0167-7152
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โฆ Synopsis
In this paper, we study a general stochastic trend model and provide conditions on the partial sums which imply the convergence of the V=S statistic. These conditions generalize those in Giraitis et al. (J. Appl. Probab. 38 (2001) 1033) obtained in the case of deterministic trend model. As a particular example of stochastic trend we study a regime switching process called mixture model. We prove that in the non-trivial cases the partial sums converge to a compound Poisson process whereas in "degenerated" cases it resembles the behavior of the I (d -1) process.
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