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Volatile pies: Modeling compositional volatility.

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Title: Volatile pies: Modeling compositional volatility.
Authors: Eastman, Abbie (AUTHOR), Junqueira, Andrea (AUTHOR), Kagalwala, Ali (AUTHOR), Philips, Andrew Q. (AUTHOR), Whitten, Guy D. (AUTHOR)
Source: Social Science Quarterly (Wiley-Blackwell). Jul2024, Vol. 105 Issue 4, p965-979. 15p.
Subjects: Income inequality, Time series analysis, Political parties, Pies, Equations
Abstract: Objective: The study aims to demonstrate the utility of modeling compositional volatility in substantive domains beyond budgeting. Methods: We show how to model compositional volatility on its own or as a part of a system of equations in which the component parts of the compositional outcome variable are also modeled. Results: Using data on the volatility of support for German political parties, we demonstrate the usefulness of stand‐alone models of compositional volatility. Using data on the volatility of income shares in the United States, we demonstrate the usefulness of modeling volatility together with compositional components. Conclusion: There is considerable potential for modeling compositional volatility. [ABSTRACT FROM AUTHOR]
Copyright of Social Science Quarterly (Wiley-Blackwell) is the property of Wiley-Blackwell 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.)
Database: Psychology and Behavioral Sciences Collection
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  Data: Volatile pies: Modeling compositional volatility.
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  Data: <searchLink fieldCode="AR" term="%22Eastman%2C+Abbie%22">Eastman, Abbie</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Junqueira%2C+Andrea%22">Junqueira, Andrea</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kagalwala%2C+Ali%22">Kagalwala, Ali</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Philips%2C+Andrew+Q%2E%22">Philips, Andrew Q.</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Whitten%2C+Guy+D%2E%22">Whitten, Guy D.</searchLink> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Social+Science+Quarterly+%28Wiley-Blackwell%29%22">Social Science Quarterly (Wiley-Blackwell)</searchLink>. Jul2024, Vol. 105 Issue 4, p965-979. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Income+inequality%22">Income inequality</searchLink><br /><searchLink fieldCode="DE" term="%22Time+series+analysis%22">Time series analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Political+parties%22">Political parties</searchLink><br /><searchLink fieldCode="DE" term="%22Pies%22">Pies</searchLink><br /><searchLink fieldCode="DE" term="%22Equations%22">Equations</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: The study aims to demonstrate the utility of modeling compositional volatility in substantive domains beyond budgeting. Methods: We show how to model compositional volatility on its own or as a part of a system of equations in which the component parts of the compositional outcome variable are also modeled. Results: Using data on the volatility of support for German political parties, we demonstrate the usefulness of stand‐alone models of compositional volatility. Using data on the volatility of income shares in the United States, we demonstrate the usefulness of modeling volatility together with compositional components. Conclusion: There is considerable potential for modeling compositional volatility. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Social Science Quarterly (Wiley-Blackwell) is the property of Wiley-Blackwell 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: 10.1111/ssqu.13406
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        Text: English
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      – SubjectFull: Political parties
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      – SubjectFull: Pies
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      – SubjectFull: Equations
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              M: 07
              Text: Jul2024
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              Y: 2024
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