Benchmarking Systems of Seasonally Adjusted Time Series:
When a system of time series is seasonally adjusted, generally the accounting constraints originally linking the series are not fulfilled. To overcome this problem, we discuss an extension to a system of series linked by an accounting constraint of the classical univariate benchmarking procedure due...
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Format: | Elektronisch Buchkapitel |
Sprache: | English |
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Paris
OECD Publishing
2005
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Online-Zugang: | DE-384 DE-473 DE-824 DE-29 DE-739 DE-355 DE-20 DE-1028 DE-1049 DE-521 DE-861 DE-898 DE-92 DE-91 DE-573 DE-19 Volltext |
Zusammenfassung: | When a system of time series is seasonally adjusted, generally the accounting constraints originally linking the series are not fulfilled. To overcome this problem, we discuss an extension to a system of series linked by an accounting constraint of the classical univariate benchmarking procedure due to Denton (1971), which is founded on a movement preservation principle that is very relevant in this case. The presence of linear dependence between the variables makes it necessary to deal with the whole set of contemporaneous and temporal aggregation relationships. The cases of one-way classified (e.g., by regions or by industries) and of two-way classified (e.g., by regions and by industries) systems of series are studied. An empirical application to the Canadian retail trade series by province (12 series) and trade groups (18 series) is considered to show the capability of the proposed procedures |
Beschreibung: | 1 Online-Ressource (35 Seiten) 16 x 23cm |
DOI: | 10.1787/jbcma-2005-5km7v1835wr5 |
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Datensatz im Suchindex
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author | di Fonzo, Tommaso |
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author_facet | di Fonzo, Tommaso Marini, Marco |
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doi_str_mv | 10.1787/jbcma-2005-5km7v1835wr5 |
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spelling | di Fonzo, Tommaso Verfasser aut Benchmarking Systems of Seasonally Adjusted Time Series Tommaso di Fonzo and Marco Marini Paris OECD Publishing 2005 1 Online-Ressource (35 Seiten) 16 x 23cm txt rdacontent c rdamedia cr rdacarrier When a system of time series is seasonally adjusted, generally the accounting constraints originally linking the series are not fulfilled. To overcome this problem, we discuss an extension to a system of series linked by an accounting constraint of the classical univariate benchmarking procedure due to Denton (1971), which is founded on a movement preservation principle that is very relevant in this case. The presence of linear dependence between the variables makes it necessary to deal with the whole set of contemporaneous and temporal aggregation relationships. The cases of one-way classified (e.g., by regions or by industries) and of two-way classified (e.g., by regions and by industries) systems of series are studied. An empirical application to the Canadian retail trade series by province (12 series) and trade groups (18 series) is considered to show the capability of the proposed procedures Economics Marini, Marco ctb https://doi.org/10.1787/jbcma-2005-5km7v1835wr5 Verlag URL des Erstveröffentlichers Volltext |
spellingShingle | di Fonzo, Tommaso Benchmarking Systems of Seasonally Adjusted Time Series Economics |
title | Benchmarking Systems of Seasonally Adjusted Time Series |
title_auth | Benchmarking Systems of Seasonally Adjusted Time Series |
title_exact_search | Benchmarking Systems of Seasonally Adjusted Time Series |
title_exact_search_txtP | Benchmarking Systems of Seasonally Adjusted Time Series |
title_full | Benchmarking Systems of Seasonally Adjusted Time Series Tommaso di Fonzo and Marco Marini |
title_fullStr | Benchmarking Systems of Seasonally Adjusted Time Series Tommaso di Fonzo and Marco Marini |
title_full_unstemmed | Benchmarking Systems of Seasonally Adjusted Time Series Tommaso di Fonzo and Marco Marini |
title_short | Benchmarking Systems of Seasonally Adjusted Time Series |
title_sort | benchmarking systems of seasonally adjusted time series |
topic | Economics |
topic_facet | Economics |
url | https://doi.org/10.1787/jbcma-2005-5km7v1835wr5 |
work_keys_str_mv | AT difonzotommaso benchmarkingsystemsofseasonallyadjustedtimeseries AT marinimarco benchmarkingsystemsofseasonallyadjustedtimeseries |