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The usefulness of infra-annual government cash budgetary data for fiscal forecasting in the euro area

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  • Onorante, Luca
  • Pedregal, Diego J.
  • Pérez, Javier J.
  • Signorini, Sara

Abstract

Short-term fiscal indicators based on public accounts data are often used by European policy makers. They represent one of the main sources of publicly available intra-annual fiscal information. Nevertheless, these indicators have received limited attention from the academic literature analysing fiscal forecasting in Europe. Some recent literature suggests the validity of public accounts data to forecast government deficits in the euro area. We extend this literature on two fronts:(i) we shift the focus from indicators of government deficits to look at indicators for government total revenue and total expenditure; (ii) we use a mixed-frequency state-space model to integrate readily available monthly/quarterly cash-based fiscal data with annual general government series (National Accounts). By doing so, we are able to maintain the focus on forecasting and monitoring annual outcomes, while making use of infra-annual fiscal information, available within the current year. The paper makes a case for the use of monthly cash indicators for multi- lateral fiscal surveillance at the European level. JEL Classification: C53, E6, H6

Suggested Citation

  • Onorante, Luca & Pedregal, Diego J. & Pérez, Javier J. & Signorini, Sara, 2008. "The usefulness of infra-annual government cash budgetary data for fiscal forecasting in the euro area," Working Paper Series 901, European Central Bank.
  • Handle: RePEc:ecb:ecbwps:2008901
    Note: 412615
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    Cited by:

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    2. Ghysels, Eric & Ozkan, Nazire, 2015. "Real-time forecasting of the US federal government budget: A simple mixed frequency data regression approach," International Journal of Forecasting, Elsevier, vol. 31(4), pages 1009-1020.
    3. Teresa Leal Linares & Javier J. Pérez, 2009. "Un sistema ARIMA con agregación temporal para la previsión y el seguimiento del déficit del Estado," Hacienda Pública Española / Review of Public Economics, IEF, vol. 190(3), pages 27-58, June.
    4. Lahiri, Kajal & Yang, Cheng, 2022. "Boosting tax revenues with mixed-frequency data in the aftermath of COVID-19: The case of New York," International Journal of Forecasting, Elsevier, vol. 38(2), pages 545-566.
    5. Camba-Méndez, Gonzalo & Serwa, Dobromił, 2016. "Market perception of sovereign credit risk in the euro area during the financial crisis," The North American Journal of Economics and Finance, Elsevier, vol. 37(C), pages 168-189.
    6. António Afonso & Ricardo Sousa, 2011. "The macroeconomic effects of fiscal policy in Portugal: a Bayesian SVAR analysis," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 10(1), pages 61-82, April.
    7. Afonso, António & Agnello, Luca & Furceri, Davide & Sousa, Ricardo M., 2011. "Assessing long-term fiscal developments: A new approach," Journal of International Money and Finance, Elsevier, vol. 30(1), pages 130-146, February.
    8. Carnazza, Giovanni & Liberati, Paolo & Sacchi, Agnese, 2020. "The cyclically-adjusted primary balance: A novel approach for the euro area," Journal of Policy Modeling, Elsevier, vol. 42(5), pages 1123-1145.
    9. Jacopo Cimadomo, 2016. "Real-Time Data And Fiscal Policy Analysis: A Survey Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 30(2), pages 302-326, April.
    10. Pedregal, Diego J. & Pérez, Javier J., 2010. "Should quarterly government finance statistics be used for fiscal surveillance in Europe?," International Journal of Forecasting, Elsevier, vol. 26(4), pages 794-807, October.
    11. Robert Ambrisko, 2022. "Nowcasting Macroeconomic Variables Using High-Frequency Fiscal Data," Working Papers 2022/5, Czech National Bank.
    12. Andrew Hughes Hallett & Moritz Kuhn & Thomas Warmedinger, 2012. "The gains from early intervention in Europe: Fiscal surveillance and fiscal planning using cash data," European Journal of Government and Economics, Europa Grande, vol. 1(1), pages 44-65, June.
    13. Warmedinger, Thomas & Paredes, Joan & Asimakopoulos, Stylianos, 2013. "Forecasting fiscal time series using mixed frequency data," Working Paper Series 1550, European Central Bank.
    14. Paredes, Joan & Pedregal, Diego J. & Pérez, Javier J., 2009. "A quarterly fiscal database for the euro area based on intra-annual fiscal information," Working Paper Series 1132, European Central Bank.
    15. Cimadomo, Jacopo & Claeys, Peter & Poplawski-Ribeiro, Marcos, 2016. "How do experts forecast sovereign spreads?," European Economic Review, Elsevier, vol. 87(C), pages 216-235.
    16. Attinasi, Maria Grazia & Metelli, Luca, 2017. "Is fiscal consolidation self-defeating? A panel-VAR analysis for the Euro area countries," Journal of International Money and Finance, Elsevier, vol. 74(C), pages 147-164.
    17. Ferré, Montserrat, 2012. "The effects of uncertainty about countries’ compliance with the Stability and Growth Pact," Journal of Policy Modeling, Elsevier, vol. 34(5), pages 660-674.
    18. Jacopo Cimadomo & Antonello D'Agostino, 2016. "Combining Time Variation and Mixed Frequencies: an Analysis of Government Spending Multipliers in Italy," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 31(7), pages 1276-1290, November.
    19. Diego J. Pedregal & Javier J. Pérez & A. Jesús Sánchez-Fuentes, 2014. "A toolkit to strengthen government budget surveillance," Working Papers 1416, Banco de España.
    20. Giuseppe Bianchi & Tatiana Cesaroni & Ottavio Ricchi, 2013. "Previsioni delle spese del bilancio dello Stato attraverso i flussi di contabilità finanziaria," Rivista di Politica Economica, SIPI Spa, issue 1, pages 271-326, January-M.
    21. Paredes, Joan & Pedregal, Diego J. & Pérez, Javier J., 2014. "Fiscal policy analysis in the euro area: Expanding the toolkit," Journal of Policy Modeling, Elsevier, vol. 36(5), pages 800-823.
    22. Diego J. Pedregal & Javier J. Pérez & Antonio Sánchez Fuentes, 2014. "A Tookit to strengthen Government," Hacienda Pública Española / Review of Public Economics, IEF, vol. 211(4), pages 117-146, December.
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    More about this item

    Keywords

    euro area; Fiscal forecasting and monitoring; Leading indicators;
    All these keywords.

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • E6 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook
    • H6 - Public Economics - - National Budget, Deficit, and Debt

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