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A toolkit to strengthen government budget surveillance

Author

Listed:
  • Diego J. Pedregal

    (U. Castilla la Mancha)

  • Javier J. Pérez

    (Banco de España)

  • A. Jesús Sánchez-Fuentes

    (U. Complutense de Madrid)

Abstract

In this paper we develop a comprehensive short-term fiscal forecasting system of use for the real-time monitoring of the Spanish government’s borrowing requirement. Spain has been at the centre of the recent European sovereign debt crisis, not least because of sizeable failures in meeting public deficit targets. The system comprises a suite of models, with different levels of disaggregation (bottom-up vs top-down; general government vs sub-sectors), which are suitable for the automatic processing of the large amount of monthly/quarterly fiscal data currently published by the Spanish statistical authorities. Our tools are instrumental in the ex-ante detection of risks to official projections, and can thus help reduce the ex-post reputational costs of budgetary slippage. On the basis of our results, we discuss how official monitoring bodies could expand, on one hand, their toolkit to evaluate regular adherence to targets (moving beyond a legalistic approach) and, on the other, their communication policies as regards sources of risks to (ex-ante) compliance with budgetary targets.

Suggested Citation

  • Diego J. Pedregal & Javier J. Pérez & A. Jesús Sánchez-Fuentes, 2014. "A toolkit to strengthen government budget surveillance," Working Papers 1416, Banco de España.
  • Handle: RePEc:bde:wpaper:1416
    as

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    References listed on IDEAS

    as
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    2. Andrea Silvestrini & Matteo Salto & Laurent Moulin & David Veredas, 2008. "Monitoring and forecasting annual public deficit every month: the case of France," Empirical Economics, Springer, vol. 34(3), pages 493-524, June.
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    9. Joan Paredes & Diego J. Pedregal & Javier J. Pérez, 2009. "A quarterly fiscal database for the euro area based on intra-annual fiscal information," Working Papers 0935, Banco de España.
    10. Gomez, Nicolas & Guerrero, Victor M., 2006. "Restricted forecasting with VAR models: An analysis of a test for joint compatibility between restrictions and forecasts," International Journal of Forecasting, Elsevier, vol. 22(4), pages 751-770.
    11. Onorante, Luca & Pedregal, Diego J. & Pérez, Javier J. & Signorini, Sara, 2010. "The usefulness of infra-annual government cash budgetary data for fiscal forecasting in the euro area," Journal of Policy Modeling, Elsevier, vol. 32(1), pages 98-119, January.
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    Cited by:

    1. Francisco Martí & Javier J. Pérez, 2015. "Spanish Public Finances through the Financial Crisis," Fiscal Studies, Institute for Fiscal Studies, vol. 36, pages 527-554, December.
    2. Castillo-Manzano, José I. & Pedregal, Diego J. & Pozo-Barajas, Rafael, 2016. "An econometric evaluation of the management of large-scale transport infrastructure in Spain during the great recession: Lessons for infrastructure bubbles," Economic Modelling, Elsevier, vol. 53(C), pages 302-313.
    3. Sabaj, Ernil & Kahveci, Mustafa, 2018. "Forecasting tax revenues in an emerging economy: The case of Albania," MPRA Paper 84404, University Library of Munich, Germany.

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    More about this item

    Keywords

    government accountability; transparency; fiscal Forecasting.;
    All these keywords.

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy
    • E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
    • H6 - Public Economics - - National Budget, Deficit, and Debt
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access

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