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TRANSMISSION CHAINS OF ECONOMIC UNCERTAINTY ON MACROECONOMIC ACTIVITY: NEW EMPIRICAL EVIDENCE

Published online by Cambridge University Press:  06 May 2018

Paraskevi K. Salamaliki*
Affiliation:
University of Patras
Ioannis A. Venetis
Affiliation:
University of Patras
*
Address correspondence to: Paraskevi K. Salamaliki, University of Patras, School of Business Administration, Department of Economics, University Campus, Rio, 26504 Patras, Greece; e-mail: paraskevi.salamaliki@upatras.gr.

Abstract

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.

Type
Articles
Copyright
Copyright © Cambridge University Press 2018 

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Footnotes

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.

References

REFERENCES

Alexopoulos, Michelle and Cohen, Jon (2009) Uncertain Times, Uncertain Measures. Mimeo, University of Toronto.Google Scholar
Alexopoulos, Michelle and Cohen, Jon (2015) The power of print: Uncertainty shocks, markets, and the economy. International Review of Economics and Finance 40, 828.Google Scholar
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.Google Scholar
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.Google Scholar
Baker, Scott R., Bloom, Nicholas, and Davis, Steven J. (2013) Measuring economic policy uncertainty. The Quarterly Journal of Economics 131 (4), 15931636.Google Scholar
Beetsma, Roel and Giuliodori, Massimo (2012) The changing macroeconomic response to stock market volatility shocks. Journal of Macroeconomics 34, 281293.Google Scholar
Bernanke, Ben S. (1983) Irreversibility, Uncertainty, and cyclical investment. Quarterly Journal of Economics 98 (1), 85106.Google Scholar
Bloom, Nicholas (2009) The impact of uncertainty shocks. Econometrica 77 (3), 623685.Google Scholar
Bloom, Nicholas (2014) Fluctuations in uncertainty. Journal of Economic Perspectives 28 (2), 153176.Google Scholar
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.Google Scholar
Caggiano, Giovanni, Castelnuovo, Efrem, and Groshenny, Nicolas (2014) Uncertainty shocks and unemployment dynamics in U.S. recessions. Journal of Monetary Economics 67, 7892.Google Scholar
Carroll, Christopher D. and Samwick, Andrew A. (1998) How important is precautionary saving? Review of Economics and Statistics 80 (3), 410419.Google Scholar
Cesa-Bianchi, Ambrogio, Pesaran, Hashem M., and Rebucci, Alessandro (2014) Uncertainty and Economic Activity: A Global Perspective. CESifo working paper no. 4736.Google Scholar
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.Google Scholar
Dolado, Juan J. and Lütkepohl, Helmut (1996) Making wald tests work for cointegrated VAR systems. Econometric Reviews 15, 369386.Google Scholar
Dufour, Jean-Marie and Renault, Eric (1998) Short-run and long-run causality in time series: Theory. Econometrica 66 (5), 10991125.Google Scholar
Dufour, Jean-Marie and Taamouti, Abderrahim (2010) Short-run and long-run causality measures: Theory and inference. Journal of Econometrics 154, 4258.Google Scholar
Dufour, Jean-Marie, Pelletier, Denis, and Renault, Eric (2006) Short run and long run causality in time series: Inference. Journal of Econometrics 132, 337362.Google Scholar
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.Google Scholar
Enders, Walter (2010) Applied Econometric Time Series. New York: John Wiley & Sons.Google Scholar
Federal Open Market Committee (FOMC) (2008) Federal Open Market Committee Minutes, April 29–30, 2008.Google Scholar
Gilchrist, Simon, Sim, Jae W., and Zakrajšek, Egon (2014) Uncertainty, Financial Frictions, and Investment Dynamics. NBER working paper series no. 20038.Google Scholar
Granger, Clive W. J. (1969) Investigating causal relations by econometric models and cross-spectral methods. Econometrica 37 (3), 424438.Google Scholar
Gregory, Krag and Rangel, Jose Gonzalo (2012) The Buzz: Links Between Policy Uncertainty and Equity Volatility. New York: Goldman Sachs.Google Scholar
Henzel, Steffen R. and Rengel, Malte (2016) Dimensions of macroeconomic uncertainty: A common factor analysis. Economic Inquiry 55 (2), 843877.Google Scholar
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.Google Scholar
International Monetary Fund (IMF) (2012) Global Recovery, Growth Hampered by Uncertainty - Lagarde. IMF Survey Magazine, October 11.Google Scholar
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.Google Scholar
Jones, Paul M. and Enders, Walter (2016) The asymmetric effects of uncertainty on macroeconomic activity. Macroeconomic Dynamics 20, 12191246.Google Scholar
Jurado, Kyle, Ludvigson, Sydney C., and Ng, Serena (2015) Measuring uncertainty. American Economic Review 105 (3), 11771216.Google Scholar
Leduc, Sylvain and Liu, Zheng (2013) Uncertainty and the Slow Labor Market Recovery. FRBSF economic letter 2013-21.Google Scholar
Leduc, Sylvain and Liu, Zheng (2015) Uncertainty Shocks are Aggregate Demand Shocks. Federal Reserve Bank of San Francisco working paper 2012-10. Retrieved from: http://www.frbsf.org/economic-research/publications/working-papers/wp12-10bk.pdfGoogle Scholar
Lütkepohl, Helmut (1982) Non-causality due to omitted variables. Journal of Econometrics 19, 367378.Google Scholar
Lütkepohl, Helmut (2006) New Introduction to Multiple Time Series Analysis. New York: Springer.Google Scholar
Lütkepohl, Helmut (2011) Vector Autoregressive Models. EUI working paper ECO 2011/30, European University Institute. Retrieved from: cadmus.eui.eu/bitstream/handle/1814/19354/ECO_2011_30.pdfGoogle Scholar
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.Google Scholar
Nodari, Gabriela (2014) Financial regulation policy uncertainty and credit spreads in the US. Journal of Macroeconomics 41, 122132.Google Scholar
Phillips, Peter C. B. (1998) Impulse response and forecast error variance asymptotics in nonstationary VARs. Journal of Econometrics 83, 2156.Google Scholar
Ramey, Valerie A. (2016) Macroeconomic shocks and their propagation. In Taylor, John B. and Uhlig, Harald (eds.), Handbook of Macroeconomics, pp. 71162. Amsterdam: Elsevier.Google Scholar
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.Google Scholar
Rossi, Barbara and Sekhposyan, Tatevik (2017) Macroeconomic uncertainty indices for the euro area and its individual member countries. Empirical Economics 53, 4162.Google Scholar
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.Google Scholar
Sims, Christopher A., Stock, James H., and Watson, Mark W. (1990) Inference in linear time series models with some unit roots. Econometrica 58, 113144.Google Scholar
Swanson, Norman (1996) Forecasting using first-available versus fully revised economic time-series data. Studies in Nonlinear Dynamics and Econometrics 1 (1), 4764.Google Scholar
Toda, Hiro Y. and Yamamoto, Taku (1995) Statistical inference in vector autoregressions with possibly integrated processes. Journal of Econometrics 66, 225250.Google Scholar
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.Google Scholar
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