Benchmarking and reconciliation with time-varying cross-coefficients
Author(s) / Creator(s)
Rojo-García, José Luis
Sanz-Gómez, José Antonio
Abstract / Description
In this paper, the authors propose a method to obtain explicit solutions for simultaneous benchmarking and reconciliation problems for a system of variables when the cross-restrictions use time-varying coefficients. The method is based on a hierarchical Bayesian model with a normal-gamma specification for the prior distributions. The proposed solution provides explicit (not sequential) feasible estimations, including measurements for its statistical accuracy. One interesting feature of the proposed procedure is that it allows users to include one or several performance indicators and to estimate disaggregated values for incomplete years. The method is applied to obtain Quarterly Regional Accounts for the Spanish economy.
Keyword(s)
time series reconciliation time series benchmarking Bayesian models regional accountsPersistent Identifier
Date of first publication
2020-12-22
Journal title
Methodology
Volume
16
Issue
4
Page numbers
316–334
Publisher
PsychOpen GOLD
Publication status
publishedVersion
Review status
peerReviewed
Is version of
Citation
Rojo-García, J. L., & Sanz-Gómez, J. A. (2020). Benchmarking and reconciliation with time-varying cross-coefficients. Methodology, 16(4), 316-334. https://doi.org/10.5964/meth.4529
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meth.v16i4.4529.pdfAdobe PDF - 250.92KBMD5: 44a3e9c0e19fa992d42b5250ebed094f
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There are no other versions of this object.
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Author(s) / Creator(s)Rojo-García, José Luis
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Author(s) / Creator(s)Sanz-Gómez, José Antonio
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PsychArchives acquisition timestamp2022-04-14T11:24:48Z
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Made available on2022-04-14T11:24:48Z
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Date of first publication2020-12-22
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Abstract / DescriptionIn this paper, the authors propose a method to obtain explicit solutions for simultaneous benchmarking and reconciliation problems for a system of variables when the cross-restrictions use time-varying coefficients. The method is based on a hierarchical Bayesian model with a normal-gamma specification for the prior distributions. The proposed solution provides explicit (not sequential) feasible estimations, including measurements for its statistical accuracy. One interesting feature of the proposed procedure is that it allows users to include one or several performance indicators and to estimate disaggregated values for incomplete years. The method is applied to obtain Quarterly Regional Accounts for the Spanish economy.en_US
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Publication statuspublishedVersion
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Review statuspeerReviewed
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CitationRojo-García, J. L., & Sanz-Gómez, J. A. (2020). Benchmarking and reconciliation with time-varying cross-coefficients. Methodology, 16(4), 316-334. https://doi.org/10.5964/meth.4529en_US
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ISSN1614-2241
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Persistent Identifierhttps://hdl.handle.net/20.500.12034/5700
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Persistent Identifierhttps://doi.org/10.23668/psycharchives.6304
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Language of contenteng
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PublisherPsychOpen GOLD
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Is version ofhttps://doi.org/10.5964/meth.4529
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Is related tohttps://doi.org/10.23668/psycharchives.4421
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Keyword(s)time series reconciliationen_US
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Keyword(s)time series benchmarkingen_US
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Keyword(s)Bayesian modelsen_US
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Keyword(s)regional accountsen_US
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Dewey Decimal Classification number(s)150
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TitleBenchmarking and reconciliation with time-varying cross-coefficientsen_US
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DRO typearticle
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Issue4
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Journal titleMethodology
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Page numbers316–334
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Volume16
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Visible tag(s)Version of Recorden_US