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Studies in Nonlinear Dynamics & Econometrics

Ed. by Mizrach, Bruce


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Volume 24 (2020)

Fiscal policy uncertainty and US output

Michal Ksawery Popiel
Published Online: 2019-11-23 | DOI: https://doi.org/10.1515/snde-2018-0024

Abstract

The rise in US partisan conflict following the Great Recession led to a popular belief that uncertainty about fiscal policy was impeding output growth. I explore this hypothesis by nesting it in a standard structural vector autoregression (SVAR) model traditionally used for estimating fiscal multipliers. I augment the model with stochastic volatility (a measure of uncertainty) and allow that to interact with the endogenous variables. I consider various trend assumptions, subsamples and information sets and find that the evidence does not support this hypothesis. The results reveal that there is no systematic relationship between fiscal policy uncertainty and output. Moreover, a time-varying parameter version of the model shows that the lack of consistency across specifications is not driven by changes in the transmission of uncertainty shocks over time. Finally, I revisit Fernández-Villaverde, Guerrón-Quintana, Kuester, and Rubio-Ramírez (Fernández-Villaverde, J., P. Guerrón-Quintana, K. Kuester, and J. Rubio-Ramírez. 2015. “Fiscal Volatility Shocks and Economic Activity.” American Economic Review 105: 3352–3384) who find a significant negative relationship between fiscal policy uncertainty and output. I show that when their estimation is modified to incorporate the uncertainty around the estimate of uncertainty, their empirical result falls in line with the findings in this paper.

This article offers supplementary material which is provided at the end of the article.

Keywords: fiscal policy; stochastic volatility; time-varying parameters; uncertainty; vector autoregression

References

  • Alloza, M. 2017. “Is fiscal policy more effective in uncertain times or during recessions?” Banco de España Working Paper 1730.Google Scholar

  • Auerbach, A. J., and Y. Gorodnichenko. 2012. “Measuring the Output Responses to Fiscal Policy.” American Economic Journal: Economic Policy 4: 1–27.Web of ScienceGoogle Scholar

  • Azzimonti, M. 2018. “Partisan conflict and private investment.” Journal of Monetary Economics 93: 114–131.Web of ScienceCrossrefGoogle Scholar

  • Baker, S. R., N. Bloom, and S. J. Davis. 2016. “Measuring Economic Policy Uncertainty.” Quarterly Journal of Economics 31: 1593–1636.Web of ScienceGoogle Scholar

  • Baumeister, C., and G. Peersman. 2013. “The Role of Time-Varying Price Elasticities in Accounting for Volatility Changes in the Crude Oil Market.” Journal of Applied Econometrics 28: 1087–1109.Web of ScienceCrossrefGoogle Scholar

  • Benati, L. 2013. “Economic Policy Uncertainty, the Great Recession, and the Great Depression.” University of Bern Working Paper.Google Scholar

  • Benati, L., and H. Mumtaz. 2007. “US Evolving Macroeconomic Dynamics: A Structural Investigation.” European Central Bank Working Paper 746.Google Scholar

  • Blanchard, O., and R. Perotti. 2002. “An Empirical Characterization of the Dynamic Effects of Changes in Government Spending and Taxes on Output.” Quarterly Journal of Economics 117: 1329–1368.CrossrefGoogle Scholar

  • Born, B., and J. Pfeifer. 2014. “Policy Risk and the Business Cycle.” Journal of Monetary Economics 68: 68–85.CrossrefWeb of ScienceGoogle Scholar

  • Carriero, A., T. Clark, and M. Marcellino. 2018. “Measuring Uncertainty and its Impact on the Economy.” The Review of Economics and Statistics 100: (5): 799–815.CrossrefGoogle Scholar

  • Carter, C. K., and R. Kohn. 1994. “On Gibbs Sampling for State Space Models.” Biometrika 81: 541–553.CrossrefGoogle Scholar

  • Cogley, T., and T. J. Sargent. 2005. “Drifts and Volatilities: Monetary Policies and Outcomes in the Post WWII US.” Review of Economic Dynamics 8: 262–302.CrossrefGoogle Scholar

  • Davig, T., and E. M. Leeper. 2011. “Monetary–Fiscal Policy Interactions and Fiscal Stimulus.” European Economic Review 55: 211–227.CrossrefWeb of ScienceGoogle Scholar

  • Fernández-Villaverde, J., P. Guerrón-Quintana, K. Kuester, and J. Rubio-Ramírez. 2015. “Fiscal Volatility Shocks and Economic Activity.” American Economic Review 105: 3352–3384.Web of ScienceCrossrefGoogle Scholar

  • Fisher, J. D., and R. Peters. 2010. “Using Stock Returns to Identify Government Spending Shocks.” The Economic Journal 120: 414–436.CrossrefGoogle Scholar

  • Jacquier, E., N. G. Polson, and P. E. Rossi. 1994. “Bayesian Analysis of Stochastic Volatility Models.” Journal of Business & Economic Statistics 12: 371–389.Google Scholar

  • Jo, S. 2014. “The Effects of Oil Price Uncertainty on Global Real Economic Activity.” Journal of Money, Credit and Banking 46: 1113–1135.CrossrefWeb of ScienceGoogle Scholar

  • Johannsen, B. K. 2014. “When are the Effects of Fiscal Policy Uncertainty Large?” Board of Governors of the Federal Reserve System (US) Working Paper No. 2014-40.Google Scholar

  • Kirchner, M., J. Cimadomo, and S. Hauptmeier. 2010. “Transmission of Government Spending Shocks in the Euro Area: Time Variation and Driving Forces.” European Central Bank Working Paper 1219.Google Scholar

  • Leeper, E. M., A. W. Richter, and T. B. Walker. 2012. “Quantitative Effects of Fiscal Foresight.” American Economic Journal: Economic Policy 4: 115–144.Web of ScienceGoogle Scholar

  • Leeper, E. M., T. B. Walker, and S.-C. S. Yang. 2013. “Fiscal Foresight and Information Flows.” Econometrica 81: 1115–1145.CrossrefWeb of ScienceGoogle Scholar

  • Link, W. A., and M. J. Eaton. 2012. “On Thinning of Chains in MCMC.” Methods in Ecology and Evolution 3: 112–115.Web of ScienceCrossrefGoogle Scholar

  • Mertens, K., and M. O. Ravn. 2014. “A Reconciliation of SVAR and Narrative Estimates of Tax Multipliers.” Journal of Monetary Economics 68: S1–S19.Web of ScienceCrossrefGoogle Scholar

  • Mumtaz, H., and F. Zanetti. 2013. “The Impact of the Volatility of Monetary Policy Shocks.” Journal of Money, Credit and Banking 45: 535–558.Web of ScienceCrossrefGoogle Scholar

  • Mumtaz, H., and K. Theodoridis. 2016. “The Changing Transmission of Uncertainty Shocks in the US: An Empirical Analysis.” Journal of Business & Economic Statistics 36: 239–252.Google Scholar

  • Mumtaz, H., and P. Surico. 2018. “Policy Uncertainty and Aggregate Fluctuations.” Journal of Applied Econometrics 33: (3): 319–331.CrossrefWeb of ScienceGoogle Scholar

  • Owyang, M. T., V. A. Ramey, and S. Zubairy. 2013. “Are Government Spending Multipliers Greater During Periods of Slack? Evidence from Twentieth-Century Historical Data.” American Economic Review 103: 129–134.Web of ScienceCrossrefGoogle Scholar

  • Pereira, M. C., and A. S. Lopes. 2014. “Time-Varying Fiscal Policy in the US.” Studies in Nonlinear Dynamics & Econometrics 18: 157–184.Web of ScienceGoogle Scholar

  • Primiceri, G. E. 2005. “Time Varying Structural Vector Autoregressions and Monetary Policy.” Review of Economic Studies 72: 821–852.Web of ScienceCrossrefGoogle Scholar

  • Ramey, V. A. 2011. “Identifying Government Spending Shocks: It’s all in the Timing.” Quarterly Journal of Economics 126: 1–50.Web of ScienceCrossrefGoogle Scholar

  • Ramey, V. A. 2015. “Macroeconomic Shocks and Their Propagation.” Handbook of Macroeconomics 2: 71–162.Web of ScienceGoogle Scholar

  • Romer, C. D., and D. H. Romer. 2010. “The Macroeconomic Effects of Tax Changes: Estimates Based on a New Measure of Fiscal Shocks.” American Economic Review 100: 763–801.CrossrefWeb of ScienceGoogle Scholar

  • Rossi, B., and S. Zubairy. 2011. “What is the Importance of Monetary and Fiscal Shocks in Explaining US Macroeconomic Fluctuations?” Journal of Money, Credit and Banking 43: 1247–1270.Web of ScienceCrossrefGoogle Scholar

  • Stock, J. H., and M. W. Watson. 2012. “Disentangling the Channels of the 2007-2009 Recession.” NBER Working Paper 18094.Google Scholar

About the article

Published Online: 2019-11-23


Conflict of interests: Michal Popiel is currently an Associate at Groupe d’analyse, Ltée. Research for this article was undertaken when he was a student at Queen’s University. The views presented in this article are those of the authors and do not reflect those of Groupe d’analyse, Ltée. Groupe d’analyse, Ltée provided no financial support for this article.


Citation Information: Studies in Nonlinear Dynamics & Econometrics, 20180024, ISSN (Online) 1558-3708, DOI: https://doi.org/10.1515/snde-2018-0024.

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