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Uncertainty and Fiscal Cliffs
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Uncertainty and Fiscal Cliffs

Author

Listed:
  • Andrew Foerster

    (Federal Reserve Bank of Kansas City)

  • Troy Davig

    (Federal Reserve Bank of Kansas City)

Abstract

Fiscal uncertainty arises in many forms. Expiring temporary stimulus measures, projections of rapid debt growth, and oscillating political concerns over general levels of taxation are examples that all contribute to fiscal uncertainty. Motivated by anecdotal evidence associated with the US Fiscal-Cliff episode near the end of 2012, we empirically investigate the impact of economic policy uncertainty on investment and employment, especially with regard to the type of investment project. Increases in policy uncertainty lower investment and employment, with some investment dropping immediately and some more gradually, depending upon the ease of installation of types of capital. Based upon this empirical evidence, we then present a DSGE model of expiring tax provisions, and show that the model generates responses to fiscal uncertainty that match key features of the data. The framework captures a few unique elements of fiscal uncertainty. First, fiscal uncertainty is over the average tax rate, rather than a mean-preserving shock to the future tax rate. Second, households obtain information that tax rates may change at a particular date in the future, though whether tax rates do ultimately change is uncertain. As a result, information indicating that a policy change may occur in the future immediately sets in motion partial adjustments toward the new policy. The degree of adjustment households undertake depends on the probability attached to the outcome that actually does result in a change in fiscal policy. Unsuccessful reforms inject noise into the economy and lower the steady state level of the capital stock and output.

Suggested Citation

  • Andrew Foerster & Troy Davig, 2014. "Uncertainty and Fiscal Cliffs," 2014 Meeting Papers 717, Society for Economic Dynamics.
  • Handle: RePEc:red:sed014:717
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    4. Richter, Alexander W. & Throckmorton, Nathaniel A., 2015. "The consequences of an unknown debt target," European Economic Review, Elsevier, vol. 78(C), pages 76-96.
    5. Martha Elena Delgado-Rojas & Hernán Rincón-Castro, 2017. "Incertidumbre acerca de la política fiscal y ciclo económico," Borradores de Economia 1008, Banco de la Republica de Colombia.
    6. Fotiou, Alexandra & Shen, Wenyi & Yang, Shu-Chun S., 2020. "The fiscal state-dependent effects of capital income tax cuts," Journal of Economic Dynamics and Control, Elsevier, vol. 117(C).
    7. Richter, Alexander W., 2015. "Finite lifetimes, long-term debt and the fiscal limit," Journal of Economic Dynamics and Control, Elsevier, vol. 51(C), pages 180-203.
    8. Ansgar Belke & Pascal Goemans, 2021. "Uncertainty and nonlinear macroeconomic effects of fiscal policy in the US: a SEIVAR-based analysis," Journal of Economic Studies, Emerald Group Publishing Limited, vol. 49(4), pages 623-646, May.
    9. Pascal Goemans, 2022. "Historical evidence for larger government spending multipliers in uncertain times than in slumps," Economic Inquiry, Western Economic Association International, vol. 60(3), pages 1164-1185, July.
    10. Pablo Garcia, 2021. "Learning, expectations and monetary policy," BCL working papers 153, Central Bank of Luxembourg.
    11. Bi, Huixin & Shen, Wenyi & Yang, Shu-Chun S., 2016. "Debt-dependent effects of fiscal expansions," European Economic Review, Elsevier, vol. 88(C), pages 142-157.
    12. Andrew T. Foerster, 2014. "The asymmetric effects of uncertainty," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 5-26.
    13. Kim, Wongi, 2019. "Government spending policy uncertainty and economic activity: US time series evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.
    14. Higgins, C. Richard, 2023. "Risk and Uncertainty: The Role of Financial Frictions," Economic Modelling, Elsevier, vol. 119(C).
    15. Hollmayr, Josef, 2018. "Fiscal regimes and the (non)stationarity of debt," Discussion Papers 11/2018, Deutsche Bundesbank.
    16. Shoag, Daniel & Veuger, Stan, 2016. "Uncertainty and the geography of the great recession," Journal of Monetary Economics, Elsevier, vol. 84(C), pages 84-93.
    17. Caliendo, Frank N. & Guo, Nick L. & Smith, Jason M., 2018. "Policy uncertainty and bank bailouts," Journal of Financial Markets, Elsevier, vol. 39(C), pages 111-125.
    18. Ricco, Giovanni & Callegari, Giovanni & Cimadomo, Jacopo, 2014. "Signals from the Government: Policy Uncertainty and the Transmission of Fiscal Shocks," MPRA Paper 56136, University Library of Munich, Germany.
    19. Sitthiyot, Thitithep, 2015. "Macroeconomic and Financial Management in an Uncertain World: What Can We Learn from Complexity Science?," MPRA Paper 73753, University Library of Munich, Germany, revised 11 Dec 2015.
    20. Caliendo, Frank N. & Gorry, Aspen & Slavov, Sita, 2019. "The cost of uncertainty about the timing of Social Security reform," European Economic Review, Elsevier, vol. 118(C), pages 101-125.

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    JEL classification:

    • E20 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - General (includes Measurement and Data)
    • F60 - International Economics - - Economic Impacts of Globalization - - - General
    • F62 - International Economics - - Economic Impacts of Globalization - - - Macroeconomic Impacts

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