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Accounting for One-off Operations when Assessing Underlying Fiscal Positions [electronic resource] / Isabelle Joumard ... [et al] = Évaluer les positions budgétaires sous-jacentes en présence de mesures ponctuelles / Isabelle Joumard ... [et al]

By: Contributor(s): Material type: ArticleArticleSeries: OECD Economics Department Working Papers ; no.642.Publication details: Paris : OECD Publishing, 2008.Description: 33 p. ; 21 x 29.7cmOther title:
  • Évaluer les positions budgétaires sous-jacentes en présence de mesures ponctuelles
Subject(s): Other classification:
  • E62
  • H60
  • H30
Online resources: Abstract: Frequent recourse to large one-off operations in a number of OECD countries has undermined the accuracy of cyclically adjusted fiscal balances as a measure of both the sustainability of public finance and the fiscal stance. This paper first provides detailed information on the nature and amount of these one-offs for 9 OECD countries. The paper then presents a new indicator - the "underlying" fiscal balance - which effectively eliminates the impact of one-offs and cyclical developments. One-offs are derived as the deviations from trend in net capital transfers, i.e. from widely available national account data. This approach provides a consistent treatment of one-offs both across countries and over time, avoiding the potential information biases which could result from an individual identification of one-offs.
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Frequent recourse to large one-off operations in a number of OECD countries has undermined the accuracy of cyclically adjusted fiscal balances as a measure of both the sustainability of public finance and the fiscal stance. This paper first provides detailed information on the nature and amount of these one-offs for 9 OECD countries. The paper then presents a new indicator - the "underlying" fiscal balance - which effectively eliminates the impact of one-offs and cyclical developments. One-offs are derived as the deviations from trend in net capital transfers, i.e. from widely available national account data. This approach provides a consistent treatment of one-offs both across countries and over time, avoiding the potential information biases which could result from an individual identification of one-offs.

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