Abstract
We use a time-varying parameter FAVAR model to investigate the effects of economic policy uncertainty (EPU) on a wide range of macroeconomic variables for eleven European Monetary Union (EMU) countries. First, we are able to distinguish between a group of fragile countries (GIIPS countries) and a group of stable countries (northern countries), where the former suffered the most due to EPU shocks. Second, we find that EPU shocks affect financial markets as well as the real economy and that private investors and financial market participants react more sensitively than consumers to EPU shocks. Third, we discover that the transmission of EPU shocks is quite stable over time.
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Notes
Other measures of uncertainty exist, e.g., the measure of Jurado et al. (2015). That measure captures macroeconomic uncertainty, based on non-European data, and has no obvious political component. In contrast, the measure of Baker et al. (2016) includes both components, a macroeconomic and a political, as also suggested by our historical decomposition (see Sect. 4.5), and therefore mirrors the type of uncertainty we want to capture. Baker et al. (2016) document robustness and reliability of their index by a comparison of their algorithm-based index with an index constructed from human reading of the same articles. Both indices are very similar.
The empirical importance of this channel is underpinned by a statement of the FOMC of October 2001: “Several [survey] participants reported that uncertainty about the economic outlook was leading firms to defer spending projects until prospects for economic activity became clearer.” A similar statement can be found in the Minutes of the FOMC from December 15 to 16, 2009.
In order to provide further evidence that households’ decisions are affected by EPU we extend the data set by the consumer confidence indicator.
Expected future cash flow also depends on consumption which itself is adversely affected by EPU.
The same prior specification can be found in Gambetti and Musso (2016).
For more details see Amir-Ahmadi et al. (2018).
For a discussion of these aspects see Korobilis (2013).
Popp and Zhang (2016) use the same strategy to identify uncertainty shocks in a FAVAR model.
We also estimate the model with two different orderings. First, \({\varvec{y}}_t =[ {\varvec{f}}'_t, \mathrm{epu}_t, R_t]'\). Second, \({\varvec{y}}_t =[\mathrm{epu}_t, {\varvec{f}}'_t, R_t]'\). Our main findings are qualitatively similar for both orderings.
In this setup, the shock is only set-identified. Therefore, we follow a suggestion in Fry and Pagan (2011) and keep for each draw from the posterior 100 candidates which satisfy the assumption and out of this set of “admissible models” we selection the one with elements closest to the median across these 100 candidates.
These 99 macroeconomic variables form the data matrix \({\varvec{x}}_t\) from which we extract the factors.
The principal components are constructed by using constant weights. Furthermore, we applied the same factor rotation as suggested by Bernanke et al. (2005) to eliminate the influence of the observed variables \(R_t\) and \(\mathrm{epu}_t\) on the unobserved factors \({\varvec{f}}_t\).
We estimate the autocorrelation of the error term for each equation and find no evidence for serious autocorrelation.
A detailed explanation of the Metropolis-within-Gibbs step as well as the whole algorithm can be found in Section B of the supplementary appendix.
The decline of the median volatility of EPU since 2008 may at first come as a surprise. However, this is due to the fact that a large amount of variation in EPU is explained by other shocks in the model, in particular the increase of EPU since 2008. We will discuss this issue further in the historical decomposition of EPU in Sect. 4.6.
Estimation results with the hyperparameter values chosen by Primiceri (2005) are available upon request. The major difference appears in the stochastic volatility of R which becomes time invariant. This suggests that inappropriate benchmark values erroneously suppress or increase time variation of the model parameters.
Estimating the model with constant coefficients yields the same result, but again cannot deliver insight into whether the transmission of EPU shock has changed over time. Results are available upon request.
The Bayes p-value is calculated as the frequentists’ p-value, but has a Bayesian interpretation. For this reason we use the expression “credible” instead of “significant.”
Whether the effect is due to financial reforms as raised by Bordo et al. (2016) or a consequence of the decrease in investment and consumption needs to be investigated in future research and is beyond the scope of this paper.
This period was characterized by sluggish growth of the global economy in 2003 and passed over into the Iraq war, which further affected the global economy. With the onset of the Iraq war, the ECB reduced its main interest rate by 0.5% because of expected adverse effects.
References
Aastveit K, Natvik G, Sola S (2017) Economic uncertainty and the influence of monetary policy. J Int Money Finance 76:50–67
Alam MR (2015) Economic policy uncertainty in the US: Does it matter for Canada? Econ Bull 35(4):2725–2732
Alexopoulos M, Cohen J (2009) Uncertain times, uncertain measures. In: University of Toronto, working papers, 352
Amir-Ahmadi P, Matthes C, Wang M-C (2018) Choosing prior hyperparameters: with applications to time-varying parameter models. J Bus Econ Stat. https://doi.org/10.1080/07350015.2018.1459302
Bai J, Ng S (2002) Determining the number of factors in approximate factor models. Econometrics 70(1):191–221
Baker SR, Bloom N, Davis SJ (2012) Has economic policy uncertainty hampered the recovery? In: Chicago booth research paper, no, pp 12–06
Baker SR, Bloom N, Davis SJ (2016) Measuring economic policy uncertainty. Q J Econ 131(4):1593–1636
Belke A, Osowski T (2018) International effects of euro area versus US policy uncertainty: a FAVAR approach. In: Economic inquiry
Benati L (2014) Economic policy uncertainty, the great recession, and the great depression. University of Bern, Mimeo
Benito A (2006) Does job insecurity affect household consumption? Oxford Econ Pap 58(1):157–181
Bernanke BS (1983) Irreversibility, uncertainty and cyclical investment. Q J Econ 98(1):85–106
Bernanke BS, Boivin J, Eliasz P (2005) Measuring the effects of monetary policy: a factor-augmented vector autoregressive (FAVAR) approach. Q J Econ 120(1):387–422
Bloom N (2009) The impact of uncertainty shocks. Econometrica 77(3):623–685
Bloom N, Bond S, Van Reenen J (2007) Uncertainty and investment dynamics. Rev Econ Stud 74(2):391–415
Bordo MD, Duca JV, Koch C (2016) Economic policy uncertainty and the credit channel: aggregate and bank level U.S. evidence over several decades. J Financ Stab 26:90–106
Boumparis P, Milas C, Panagiotidis T (2017) Economic policy uncertainty and sovereign credit rating decisions: panel quantile evidence for the eurozone. J Int Money Finance 79:39–71
Caggiano G, Castelnuovo E, Groshenny N (2014) Uncertainty shocks and unemployment dynamics in US recessions. J Monet Econ 67:78–92
Caldara D, Fuentes-Albero C, Gilchrist S, Zakrajsek E (2016) The macroeconomic impact of financial and uncertainty shocks. Eur Econ Rev 88:185–207
Carrière-Swallow Y, Céspedes LF (2013) The impact of uncertainty shocks in emerging economies. J Int Econ 90(2):316–325
Chang T, Chen WY, Gupta R, Nguyen DK (2015) Are stock prices related to the political uncertainty index in OECD countries? Evidence from the bootstrap panel causality test. Econ Syst 39(2):288–300
Chen J, Jiang F, Tong G (2016) Economic policy uncertainty in China and stock market expected returns. Account Finance 57(5):1265–1286. https://doi.org/10.2139/ssrn.2808862
Colombo V (2013) Economic policy uncertainty in the US: Does it matter for the Euro area? Econ Lett 121(1):39–42
Donadelli M (2015) Google search-based metrics, policy-related uncertainty and macroeconomic conditions. Appl Econ Lett 22(10):801–807
ECB (2016) The impact of uncertainty on activity in the Euro area. https://www.ecb.europa.eu/pub/pdf/other/eb201608_article01.en.pdf?0b0c95fcaaacf42e1e6dbb184b11d39a. Accessed 1 Feb 2017
Ellis C, Mumtaz H, Zabcyk P (2014) What lies beneath? A time-varying FAVAR model for the UK transmission mechanism. Econ J 124(576):668–699
Fry R, Pagan A (2011) Sign restrictions in structural vector autoregressions: a critical review. J Econ Lit 49(4):938–60
Gambetti L, Musso A (2016) Loan supply shocks and the business cycle. J Appl Econom 32:764–782
Gilchrist S, Sim J, Zakrajšek E (2014) Uncertainty, financial frictions, and irreversible investment. In: NBER working papers, 20038
International Monetary Fund (2012) World economic outlook: coping with high debt and sluggish growth
Jurado K, Ludvigson S, Ng S (2015) Measuring uncertainty. Am Econ Rev 105(3):1177–1216
Korobilis D (2013) Assessing the transmission of monetary policy using time-varying parameter dynamic factor models. Oxford Bull Econ Stat 75(2):157–179
Lippi M, Reichlin L (1994) Var anlysis, nonfundamental representations, blaschke matrices. J Econom 1:307–325
Meinen P, Röhe O (2017) On measuring Uncertainty and its impact on investment: cross-country evidence from the Euro area. Eur Econ Rev 92:161–179
Netšunajev A, Glass K (2017) Uncertainty and employment dynamics in the Euro area and the US. J Macroecon 51:48–62
Nodari G (2014) Financial regulation policy uncertainty and credit spreads in the US. J Macroecon 41:122–132
Österholm P, Stockhammar P (2014) The euro crisis and Swedish GDP growth—a study of spillovers. Appl Econ Lett 21(16):1105–1110
Popp A, Zhang F (2016) The macroeconomic effects of uncertainty shocks: the role of the financial channel. J Econ Dyn Control 69:319–349
Primiceri GE (2005) Time varying structural vector autoregressions. Rev Econ Stud 72(3):821–852
Prüser J, Schlösser A (2018) On the time-varying effects of economic policy uncertainty on the US economy (No. 761). Ruhr economic papers. http://www.rwiessen.de/media/content/pages/publikationen/ruhreconomic-papers/rep_18_761.pdf
Ramirez J, Zha JDW (2010) Structural vector autoregressions: theory of identification and algorithms for inference. Rev Econ Stud 77(2):665–696
Romer CD (1990) The great crash and the onset of the great depression. Q J Econ 105(3):597–624
Scheffel EM (2015) Accounting for political uncertainty factor. J Appl Econom 31:1048–1064
Sims C (1980) Macroeconomics and reality. Econometrica 48(1):1–48
Sims CA, Zha T (2006) Where there regime switches in US monetary policy? Am Econ Rev 96(1):54–81
Stock JH, Watson M (1998) Diffusion indexes. In: NBER working papers, 6702
Stock JH, Watson MW (2005) Implications of dynamic factor models for VAR analysis. In: NBER working papers, 11467
Waisman M, Ye P, Zhu Y (2015) The effect of political uncertainty on the cost of corporate debt. J Financ Stab 16:106–117
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We thank the two anonymous referees, Joscha Beckmann, Volker Clausen, Herman van Dijk, Christoph Hanck, Alexander Kriwoluzky as well as the participants of the European Seminar on Bayesian Econometrics in Maastricht, the audience of the Le Studium Conference in Orléans for valuable comments and the participants of the Jahrestagung des Verein für Socialpolitik in Freiburg im Breisgau.
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Prüser, J., Schlösser, A. The effects of economic policy uncertainty on European economies: evidence from a TVP-FAVAR. Empir Econ 58, 2889–2910 (2020). https://doi.org/10.1007/s00181-018-01619-8
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DOI: https://doi.org/10.1007/s00181-018-01619-8