Article Version of Record

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 accounts

Persistent 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
  • Author(s) / Creator(s)
    Rojo-García, José Luis
  • Author(s) / Creator(s)
    Sanz-Gómez, José Antonio
  • PsychArchives acquisition timestamp
    2022-04-14T11:24:48Z
  • Made available on
    2022-04-14T11:24:48Z
  • Date of first publication
    2020-12-22
  • 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.
    en_US
  • Publication status
    publishedVersion
  • Review status
    peerReviewed
  • 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
    en_US
  • ISSN
    1614-2241
  • Persistent Identifier
    https://hdl.handle.net/20.500.12034/5700
  • Persistent Identifier
    https://doi.org/10.23668/psycharchives.6304
  • Language of content
    eng
  • Publisher
    PsychOpen GOLD
  • Is version of
    https://doi.org/10.5964/meth.4529
  • Is related to
    https://doi.org/10.23668/psycharchives.4421
  • Keyword(s)
    time series reconciliation
    en_US
  • Keyword(s)
    time series benchmarking
    en_US
  • Keyword(s)
    Bayesian models
    en_US
  • Keyword(s)
    regional accounts
    en_US
  • Dewey Decimal Classification number(s)
    150
  • Title
    Benchmarking and reconciliation with time-varying cross-coefficients
    en_US
  • DRO type
    article
  • Issue
    4
  • Journal title
    Methodology
  • Page numbers
    316–334
  • Volume
    16
  • Visible tag(s)
    Version of Record
    en_US