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https://hdl.handle.net/10216/71298Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.creator | Álvaro Aguiar | |
| dc.creator | Manuel Mota Freitas Martins | |
| dc.date.accessioned | 2022-09-08T15:38:36Z | - |
| dc.date.available | 2022-09-08T15:38:36Z | - |
| dc.date.issued | 2004 | |
| dc.identifier.other | sigarra:40460 | |
| dc.identifier.uri | https://hdl.handle.net/10216/71298 | - |
| dc.description.abstract | This note applies the median unbiased estimation of coefficient variance, proposed by Stock and Watson (1998), to the extraction of the time-varying trend growth rate of industrial productivity in fifteen European countries, over most of the XXth Century, by means of an unobservable components univariate decomposition. In addition to the description of the procedure, this illustration is particularly useful in explaining why the method is especially appropriate for comparison of trends growth rates extracted from time series with diverse degrees of variability. | |
| dc.language.iso | eng | |
| dc.rights | openAccess | |
| dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | Economia, Economia e gestão | |
| dc.subject | Economics, Economics and Business | |
| dc.title | Growth Cycles in XXth Century European Industrial Productivity: Unbiased Variance Estimation in a Time-varying Parameter Model (FEP Working Paper Nº 144, Faculdade de Economia da Universidade do Porto, Maio 2004) | |
| dc.type | Trabalho Académico | |
| dc.contributor.uporto | Faculdade de Economia | |
| dc.subject.fos | Ciências sociais::Economia e gestão | |
| dc.subject.fos | Social sciences::Economics and Business | |
| Appears in Collections: | FEP - Trabalho Académico | |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 40460.pdf | FEP Working Paper Nº 144, Faculdade de Economia da Universidade do Porto, Maio 2004 | 1.28 MB | Adobe PDF | ![]() View/Open |
This item is licensed under a Creative Commons License
