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  • Paraskevi K. Salamaliki (a1) and Ioannis A. Venetis (a1)

This paper investigates the macroeconomic impact of uncertainty by using three recently constructed US economic uncertainty proxies. Emphasis is placed on examining the informational value of these indicators and their ability to better predict economic activity. We focus on the direct and/or indirect transmission chains of economic uncertainty on US macroeconomic aggregates, the magnitude of the forecast improvement induced by economic uncertainty and the strength of the observed dynamic relations. Our results show that macroeconomic uncertainty can help in forecasting key macroeconomic aggregates across multiple horizons, and this predictive power is economically and statistically significant. The two macroeconomic uncertainty measures anticipate industrial production and consumption directly, and investment and employment indirectly, with a time-delay. The transmission chains for investment include consumption and the stock market as intermediate variables, and for employment consumption and investment. No substantial evidence of feedback effects from real activity to macroeconomic uncertainty is found. Moreover, asymmetry in macroeconomic uncertainty is found to be important. Upside and downside uncertainty produce significant macroeconomic effects, yet downside uncertainty produces the strongest impact. Results from a “news-based” economic policy uncertainty measure are weaker.

Corresponding author
Address correspondence to: Paraskevi K. Salamaliki, University of Patras, School of Business Administration, Department of Economics, University Campus, Rio, 26504 Patras, Greece; e-mail:
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We are grateful to the Associate Editor and two anonymous referees for their valuable comments and suggestions. We are also thankful to the Editor William A. Barnett. We further thank the participants of the 2015 Annual Conference of the International Association for Applied Econometrics (IAAE 2015) for useful discussions. Paraskevi Salamaliki gratefully acknowledges the financial support from the European Union's Seventh Framework Programme (FP7) Marie Curie Zukunftskolleg Incoming Fellowship Programme, University of Konstanz, Grant no. 291784 (a large part of this project was conducted while the author was a Marie Curie Postdoctoral Researcher at the Department of Economics and the Zukunftskolleg Research Institute of the University of Konstanz, Germany). Any remaining errors are the authors' responsibility.

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Alexopoulos, Michelle and Cohen, Jon (2009) Uncertain Times, Uncertain Measures. Mimeo, University of Toronto.
Alexopoulos, Michelle and Cohen, Jon (2015) The power of print: Uncertainty shocks, markets, and the economy. International Review of Economics and Finance 40, 828.
Bachmann, Rüdiger, Elstner, Steffen, and Sims, Eric R. (2013) Uncertainty and economic activity: Evidence from business survey data. American Economic Journal: Macroeconomics 5 (2), 217249.
Baker, Scott R., Bloom, Nicholas, and Davis, Steven J. (2012) Has economic policy uncertainty hampered the recovery? In Ohanian, L. E., Taylor, J. B., and Wright, I. J. (eds.), Government Policies and the Delayed Economic Recovery, Chapter 3. Stanford, CA: Hoover Press, Hoover Institution, Stanford University.
Baker, Scott R., Bloom, Nicholas, and Davis, Steven J. (2013) Measuring economic policy uncertainty. The Quarterly Journal of Economics 131 (4), 15931636.
Beetsma, Roel and Giuliodori, Massimo (2012) The changing macroeconomic response to stock market volatility shocks. Journal of Macroeconomics 34, 281293.
Bernanke, Ben S. (1983) Irreversibility, Uncertainty, and cyclical investment. Quarterly Journal of Economics 98 (1), 85106.
Bloom, Nicholas (2009) The impact of uncertainty shocks. Econometrica 77 (3), 623685.
Bloom, Nicholas (2014) Fluctuations in uncertainty. Journal of Economic Perspectives 28 (2), 153176.
Bloom, Nicholas, Floetotto, Max, Jaimovich, Nir, Saporta-Eksten, Itay, and Terry, Stephen J. (2014) Really Uncertain Business Cycles. U.S. Census Bureau Center for Economic Studies paper no. CES-WP-14-18.
Caggiano, Giovanni, Castelnuovo, Efrem, and Groshenny, Nicolas (2014) Uncertainty shocks and unemployment dynamics in U.S. recessions. Journal of Monetary Economics 67, 7892.
Carroll, Christopher D. and Samwick, Andrew A. (1998) How important is precautionary saving? Review of Economics and Statistics 80 (3), 410419.
Cesa-Bianchi, Ambrogio, Pesaran, Hashem M., and Rebucci, Alessandro (2014) Uncertainty and Economic Activity: A Global Perspective. CESifo working paper no. 4736.
Croushore, Dean and Stark, Tom (2003) A real-time dataset for macroeconomists: Does the data vintage matter? Review of Economics and Statistics 85 (3), 605617.
Dolado, Juan J. and Lütkepohl, Helmut (1996) Making wald tests work for cointegrated VAR systems. Econometric Reviews 15, 369386.
Dufour, Jean-Marie and Renault, Eric (1998) Short-run and long-run causality in time series: Theory. Econometrica 66 (5), 10991125.
Dufour, Jean-Marie and Taamouti, Abderrahim (2010) Short-run and long-run causality measures: Theory and inference. Journal of Econometrics 154, 4258.
Dufour, Jean-Marie, Pelletier, Denis, and Renault, Eric (2006) Short run and long run causality in time series: Inference. Journal of Econometrics 132, 337362.
Dufour, Jean-Marie, Garcia, Rene, and Taamouti, Abderrahim (2012) Measuring high-frequency causality between returns, realized volatility, and implied volatility. Journal of Financial Econometrics 10 (1), 124163.
Enders, Walter (2010) Applied Econometric Time Series. New York: John Wiley & Sons.
Federal Open Market Committee (FOMC) (2008) Federal Open Market Committee Minutes, April 29–30, 2008.
Gilchrist, Simon, Sim, Jae W., and Zakrajšek, Egon (2014) Uncertainty, Financial Frictions, and Investment Dynamics. NBER working paper series no. 20038.
Granger, Clive W. J. (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37 (3), 424438.
Gregory, Krag and Rangel, Jose Gonzalo (2012) The Buzz: Links Between Policy Uncertainty and Equity Volatility. New York: Goldman Sachs.
Henzel, Steffen R. and Rengel, Malte (2016) Dimensions of macroeconomic uncertainty: A common factor analysis. Economic Inquiry 55 (2), 843877.
Hill, Jonathan B. (2007) Efficient tests of long-run causation in trivariate VAR processes with a rolling window study of the money-income relationship. Journal of Applied Econometrics 22, 747765.
International Monetary Fund (IMF) (2012) Global Recovery, Growth Hampered by Uncertainty - Lagarde. IMF Survey Magazine, October 11.
Ivanov, Ventzislav and Kilian, Lutz (2005) A practitioner's guide to lag order selection For VAR impulse response analysis. Studies in Nonlinear Dynamics and Econometrics 9 (1), 132.
Jones, Paul M. and Enders, Walter (2016) The asymmetric effects of uncertainty on macroeconomic activity. Macroeconomic Dynamics 20, 12191246.
Jurado, Kyle, Ludvigson, Sydney C., and Ng, Serena (2015) Measuring uncertainty. American Economic Review 105 (3), 11771216.
Leduc, Sylvain and Liu, Zheng (2013) Uncertainty and the Slow Labor Market Recovery. FRBSF economic letter 2013-21.
Leduc, Sylvain and Liu, Zheng (2015) Uncertainty Shocks are Aggregate Demand Shocks. Federal Reserve Bank of San Francisco working paper 2012-10. Retrieved from:
Lütkepohl, Helmut (1982) Non-causality due to omitted variables. Journal of Econometrics 19, 367378.
Lütkepohl, Helmut (2006) New Introduction to Multiple Time Series Analysis. New York: Springer.
Lütkepohl, Helmut (2011) Vector Autoregressive Models. EUI working paper ECO 2011/30, European University Institute. Retrieved from:
Meinen, Philipp and Röhe, Oke (2017) On measuring uncertainty and its impact on investment: Cross-country evidence from the euro area. European Economic Review 92, 161179.
Nodari, Gabriela (2014) Financial regulation policy uncertainty and credit spreads in the US. Journal of Macroeconomics 41, 122132.
Phillips, Peter C. B. (1998) Impulse response and forecast error variance asymptotics in nonstationary VARs. Journal of Econometrics 83, 2156.
Ramey, Valerie A. (2016) Macroeconomic shocks and their propagation. In Taylor, John B. and Uhlig, Harald (eds.), Handbook of Macroeconomics, pp. 71162. Amsterdam: Elsevier.
Rossi, Barbara and Sekhposyan, Tatevik (2015) Macroeconomic uncertainty indices based on nowcast and forecast error distributions. American Economic Review: Papers and Proceedings 105 (5), 650655.
Rossi, Barbara and Sekhposyan, Tatevik (2017) Macroeconomic uncertainty indices for the euro area and its individual member countries. Empirical Economics 53, 4162.
Salamaliki, Paraskevi K., Venetis, Ioannis A., and Giannakopoulos, Nicholas (2013) The causal relationship between female labor supply and fertility in the USA: Updated evidence via a time series multi-horizon approach. Journal of Population Economics 26, 109145.
Sims, Christopher A., Stock, James H., and Watson, Mark W. (1990) Inference in linear time series models with some unit roots. Econometrica 58, 113144.
Swanson, Norman (1996) Forecasting using first-available versus fully revised economic time-series data. Studies in Nonlinear Dynamics and Econometrics 1 (1), 4764.
Toda, Hiro Y. and Yamamoto, Taku (1995) Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics 66, 225250.
Zhang, Hui Jun, Dufour, Jean-Marie, and Galbraith, John W. (2016) Exchange rates and commodity prices: Measuring causality at multiple horizons. Journal of Empirical Finance 36, 100120.
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Macroeconomic Dynamics
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