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RJDemetra, a promising tool for the seasonal adjustment of official statistics.

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Title: RJDemetra, a promising tool for the seasonal adjustment of official statistics.
Authors: Lutero, Giancarlo1 (AUTHOR) lutero@ISTAT.it, d'Orazio, Andrea2 (AUTHOR)
Source: Statistical Journal of the IAOS. 2023, Vol. 39 Issue 4, p981-994. 14p.
Subjects: Java programming language, XML (Extensible Markup Language), Statistics, Source code
Abstract: Seasonal adjustment (SA) is a crucial factor in the process of producing official macroeconomic statistics. The most important SA methods, X-13Arima-Seats and Tramo-Seats, are currently included into JDemetra+, a universal open-source environment, which is available on several platforms and operating systems, as a result of adoption of Java programming language for source codes, and Xml metalanguage for the definition of input specifications. This paper focuses on the potentials of RJDemetra, the R library developed for JDemetra+ suite. Its structure and functionalities will be illustrated with several examples, reporting the associated R scripts. In addition, a new operational practices will be suggested, exposing an alternative procedure to enhance interactive time-series updating in SA revision policies step, and also to ensure consistency checking in input system, in order to improve and to speed up the SA estimation process, providing greater security and efficiency. Finally, the interaction between two very different environments such as SAS-IML, and R will be displayed through a new SAS-R procedure available for estimating Quarterly Accounts SA series. [ABSTRACT FROM AUTHOR]
Copyright of Statistical Journal of the IAOS is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: RJDemetra, a promising tool for the seasonal adjustment of official statistics.
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  Data: <searchLink fieldCode="AR" term="%22Lutero%2C+Giancarlo%22">Lutero, Giancarlo</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> lutero@ISTAT.it</i><br /><searchLink fieldCode="AR" term="%22d'Orazio%2C+Andrea%22">d'Orazio, Andrea</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Statistical+Journal+of+the+IAOS%22">Statistical Journal of the IAOS</searchLink>. 2023, Vol. 39 Issue 4, p981-994. 14p.
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  Data: <searchLink fieldCode="DE" term="%22Java+programming+language%22">Java programming language</searchLink><br /><searchLink fieldCode="DE" term="%22XML+%28Extensible+Markup+Language%29%22">XML (Extensible Markup Language)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistics%22">Statistics</searchLink><br /><searchLink fieldCode="DE" term="%22Source+code%22">Source code</searchLink>
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  Label: Abstract
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  Data: Seasonal adjustment (SA) is a crucial factor in the process of producing official macroeconomic statistics. The most important SA methods, X-13Arima-Seats and Tramo-Seats, are currently included into JDemetra+, a universal open-source environment, which is available on several platforms and operating systems, as a result of adoption of Java programming language for source codes, and Xml metalanguage for the definition of input specifications. This paper focuses on the potentials of RJDemetra, the R library developed for JDemetra+ suite. Its structure and functionalities will be illustrated with several examples, reporting the associated R scripts. In addition, a new operational practices will be suggested, exposing an alternative procedure to enhance interactive time-series updating in SA revision policies step, and also to ensure consistency checking in input system, in order to improve and to speed up the SA estimation process, providing greater security and efficiency. Finally, the interaction between two very different environments such as SAS-IML, and R will be displayed through a new SAS-R procedure available for estimating Quarterly Accounts SA series. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of Statistical Journal of the IAOS is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.3233/SJI-230047
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      – Code: eng
        Text: English
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      – SubjectFull: Java programming language
        Type: general
      – SubjectFull: XML (Extensible Markup Language)
        Type: general
      – SubjectFull: Statistics
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      – SubjectFull: Source code
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      – TitleFull: RJDemetra, a promising tool for the seasonal adjustment of official statistics.
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              Text: 2023
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