Measuring the shadow economy and its drivers: the case of peripheral EMU countries
Vicent Almenar,
José Luis Sánchez and
Juan Sapena
Economic Research-Ekonomska Istraživanja, 2020, vol. 33, issue 1, 2904-2918
Abstract:
We adopt a long-run perspective to investigate the size of the shadow economy and explore the trends in this area. The analysis is based on a panel of peripheral EMU countries over the period 1965-2015. Our empirical approach relies on a multiple indicators and multiple causes (MIMIC) framework. This approach is a variant of structural equation modelling (SEM). We used two sets of variables, (i.e. potential determinants and indicator variables) to estimate an underlying (unobserved) index that measures the evolution of the shadow economy. Ascertaining the relative importance of the shadow economy enabled analysis of its relationship with other institutional and social issues (e.g. corruption, productivity and economic growth), and helped identify the channels through which the shadow economy might negatively influence the performance of different economies. In the sampled countries, shadow activity increased over the study period. It also seemed to be affected by the economic cycle.
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://hdl.handle.net/10.1080/1331677X.2019.1706601 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:reroxx:v:33:y:2020:i:1:p:2904-2918
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/rero20
DOI: 10.1080/1331677X.2019.1706601
Access Statistics for this article
Economic Research-Ekonomska Istraživanja is currently edited by Marinko Skare
More articles in Economic Research-Ekonomska Istraživanja from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().