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Erschienen in: Social Indicators Research 2/2018

24.03.2017

A Note on the “Economic Policy Uncertainty Index”

verfasst von: Blanka Škrabić Perić, Petar Sorić

Erschienen in: Social Indicators Research | Ausgabe 2/2018

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Abstract

This paper builds upon the renowned media reports-based “Economic policy uncertainty” (EPU) index and analyzes its Granger-causal interrelationships with consumer confidence and aggregate economic activity. Employing a heterogeneous panel Granger causality test on data from 13 world countries, the authors find that: (1) the analyzed countries are quite heterogeneous in terms of the found causality patterns; (2) the EPU index does not Granger-cause the overall economic activity in the vast majority of the analyzed economies; (3) consumer confidence is confirmed as a significant predictor of aggregate output in all countries; (4) news media uncertainty and consumer confidence largely represent two distinct psychological transmission channels. The evidence presented in this paper suggests that consumer confidence (i.e. first moment, expectation) is considerably more important for the aggregate economic activity than economic uncertainty (i.e. second moment, variance). Two robustness checks are provided (an alternative lag structure of the Granger causality test, and the usage of monthly (industrial production) instead of quarterly (GDP) economic activity data). The obtained inferences are quite robust to both model alternations. Additionally, the leading characteristics of EPU index are found to be less pronounced than those of GARCH uncertainty and forecast disagreement.

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Fußnoten
1
Although Knight (1921) clearly separates uncertainty from risk, empirical studies often tend to view these two concepts as equal.
 
2
GDP is often criticized as a poor measure of prosperity and wealth. It is biased toward manufacturing, whose fraction in the total economic activity is significantly diminishing throughout the world. On the other hand, it disregards goods and services that are produced outside the market: e.g. home production, unpaid-for government services, housing services, etc. Its particularly important flaw is that it does not incorporate freely available media and digital platforms. The marginal cost of Internet TV, digital media, Facebook, and similar platforms is virtually zero, and as such not properly accounted for by GDP. On the other hand, all of these platforms have a direct influence on every day decisions of economic agents (investments, savings, consumption, entrepreneurial activities, etc.). The authors therefore acknowledge the imperfections of GDP as a measure of aggregate economic activity, but are compelled to use it for lack of a better quarterly indicator of prosperity.
 
3
When the purpose of the study is to introduce a new indicator (such as uncertainty) in a specific macroeconomic model, it is customary to identify its role in the model structure, and outline its relation to other variables. Bachmann et al. (2013) or Jurado et al. (2015) are good examples of such practice. However, simple bivariate analysis is quite standard when the goal of the study is to establish the direction of Granger-causality (e.g. Matsusaka and Sbordone 1995; Sorić et al. 2013). If there is no evidence of Granger causality between variables X and Y in a bivariate model, it is unlikely that there will be any in an augmented, multivariate one. In that context, the obtained results do not represent an improvement of some theoretical model (or an introduction of a novel one), but merely a practical contribution to our understanding of the relationships between macroeconomic phenomena.
 
4
They also allow for instantaneous causality with a modification \(p \in {\mathbb{N}} \cup \left\{ 0 \right\}\).
 
5
The dependent variable lag order is set to the maximum “optimal” lag number (chosen by AIC) of individual countries.
 
6
Since GDP is proven to be nonstationary (see Sect. 4), the authors use its first difference in all GARCH analysis.
 
7
The complete set of estimation results (together with their corresponding diagnostic tests are left out here, but are available from the authors.
 
8
Unit root test results are left out here for brevity purposes, but can be obtained from the authors upon request.
 
9
The complete set of results is available from the authors upon request.
 
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Metadaten
Titel
A Note on the “Economic Policy Uncertainty Index”
verfasst von
Blanka Škrabić Perić
Petar Sorić
Publikationsdatum
24.03.2017
Verlag
Springer Netherlands
Erschienen in
Social Indicators Research / Ausgabe 2/2018
Print ISSN: 0303-8300
Elektronische ISSN: 1573-0921
DOI
https://doi.org/10.1007/s11205-017-1609-1

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