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Title: Energy based estimation of the shadow economy: The role of governance quality
Authors: Psychoyios, Dimitrios
Missiou, Olympia
Dergiades, Theologos
Type: Article
Subjects: FRASCATI::Social sciences::Economics and Business::Economics
FRASCATI::Social sciences::Economics and Business::Econometrics
Keywords: Shadow economy
Panel and quantile regression
Governance quality
Issue Date: 2021
Source: The Quarterly Review of Economics and Finance
Volume: 80
First Page: 797
Last Page: 808
Abstract: The shadow economy (SE) is a pathological normalcy, not only in developing countries but also in developed ones, causing disagreeable distortions in the real economy. In this paper, we estimate the size of the informal sector in nineteen countries of the European Union (EU) by implementing three variations of the physical input approach (we use electricity consumption as input). All estimates show that EU countries experience high shadow economy levels with a decreasing trend. Moreover, we assess the explanatory power of three governance quality indicators of the informal sector using a set of panel regression specifications as well as a set of quantile regression specifications. Both approaches show that overall governance quality is the most prominent factor in determining the SE levels. Given the inherent advantage of quantile regression to identify impact differentiations across the conditional distribution of the dependent variable a significant policy action is revealed. In particular, countries with high shadow economy levels can reduce their informal sector, at an increasing rate, by improving governance quality.
ISSN: 1062-9769
Other Identifiers: 10.1016/j.qref.2019.07.001
Appears in Collections:Department of International and European Studies

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