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Fiscal policy uncertainty and the business cycle: time series evidence from Italy

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  • Alessio Anzuini

    (Bank of Italy)

  • Luca Rossi

    (Bank of Italy)

  • Pietro Tommasino

    (Bank of Italy)

Abstract

Economic uncertainty is an important factor behind macroeconomic fluctuations: in an uncertain environment, firms reduce hiring and investment, financial intermediaries are more reluctant to lend and households increase their propensity to save. In the present paper, we study the effects of the uncertainty which arises from fiscal policy decisions. We propose a new measure of fiscal policy uncertainty (FPU). In particular, we estimate a fiscal reaction function, allowing the volatility of the shocks to be time-varying. The time series of this volatility is our proxy for FPU. Looking at Italian data over the period 1981-2014, we find that an unexpected increase in our FPU measure has a negative impact on the economy. One implication of this result is that the same change in the government budget can have different effects depending on whether it is associated with a reduction or an increase in FPU. Therefore, the neglect of FPU may partly explain why the size (and sign) of fiscal multipliers differs so much across existing empirical studies.

Suggested Citation

  • Alessio Anzuini & Luca Rossi & Pietro Tommasino, 2017. "Fiscal policy uncertainty and the business cycle: time series evidence from Italy," Temi di discussione (Economic working papers) 1151, Bank of Italy, Economic Research and International Relations Area.
  • Handle: RePEc:bdi:wptemi:td_1151_17
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    2. R. Golinelli & I. Mammi & A. Musolesi, 2018. "Parameter heterogeneity, persistence and cross-sectional dependence: new insights on fiscal policy reaction functions for the Euro area," Working Papers wp1120, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Rajendra N. Paramanik & Avishek Bhandari & Bandi Kamaiah, 2022. "Financial cycle, business cycle, and policy uncertainty in India: An empirical investigation," Bulletin of Economic Research, Wiley Blackwell, vol. 74(3), pages 825-837, July.
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    5. Joscha Beckmann & Robert L Czudaj & Georgios Kouretas, 2021. "Fiscal policy uncertainty and its effects on the real economy: German evidence," Oxford Economic Papers, Oxford University Press, vol. 73(4), pages 1516-1535.
    6. Efrem Castelnuovo, 2022. "Uncertainty Before and During COVID-19: A Survey," "Marco Fanno" Working Papers 0279, Dipartimento di Scienze Economiche "Marco Fanno".
    7. Luca Rossi, 2020. "Indicators of uncertainty: a brief user’s guide," Questioni di Economia e Finanza (Occasional Papers) 564, Bank of Italy, Economic Research and International Relations Area.
    8. Safari, Omid & Assadzadeh, Ahmad & Mirjalili, Seyed Hossein, 2024. "Fiscal Policy Uncertainty and Industrial Investment in Iran," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 16(1), pages 229-259.
    9. Mindaugas Butkus & Diana Cibulskiene & Lina Garsviene & Janina Seputiene, 2022. "Role of Uncertainty in Debt-Growth Nexus," Prague Economic Papers, Prague University of Economics and Business, vol. 2022(1), pages 58-78.
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    Keywords

    fiscal policy; uncertainty;

    JEL classification:

    • C2 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • O23 - Economic Development, Innovation, Technological Change, and Growth - - Development Planning and Policy - - - Fiscal and Monetary Policy in Development

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