The methodology of digital shadow economy estimation

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dc.contributor.author Gasparėnienė, Ligita
dc.contributor.author Bilan, Yuriy
dc.contributor.author Remeikienė, Rita
dc.contributor.author Ginevičius, Romualdas
dc.contributor.author Čepel, Martin
dc.contributor.other Ekonomická fakulta cs
dc.date.accessioned 2017-12-20
dc.date.available 2017-12-20
dc.date.issued 2017-12-20
dc.identifier.issn 1212-3609
dc.identifier.uri https://dspace.tul.cz/handle/15240/21376
dc.description.abstract The article introduces a new methodology of digital shadow economy estimation, which is based on the principles of the MIMIC method. This new methodology complements traditional methodologies of shadow economy estimation with such a component as digital shadow economy. Our analysis of the most popular today methods of shadow economic estimation proves that, despite some of its drawbacks, the MIMIC model can be treated as the most comprehensive and appropriate method for such calculations since it takes into account both causal and indicators of shadow economy. As the causal variables here, as applied to digital shadow economy, we use household access to the Internet and IT overall, the volume of non-cash payments and the use of most advanced financial instruments. While as the indicators of the digital shadow economy spread we use: the volume of non-cash payments at online platforms, the frequency of cryptocurrency payments, and the cost of parcels to which customs duties have not been applied. For further empirical verification of the model proposed here, numerical values of both causal variables and indicators would be necessary. Unfortunately, official statistical sources are unable to provide such data in full volume, especially when it comes to cryptocurrencies and other informal payments. Thus, in our further research we plan to not only prove the practical applicability of the offered here model for estimations of digital shadow economy size as well as overall size of shadow economy on the examples of particular countries, but also to accumulate the necessary statistics for such calculations. en
dc.format text
dc.format.extent 14 stran
dc.language.iso en
dc.publisher Technical university of Liberec, Czech Republic en
dc.publisher Technická Univerzita v Liberci cs
dc.relation.ispartof Ekonomie a Management cs
dc.relation.ispartof Economics and Management en
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dc.rights CC BY-NC
dc.subject shadow economy en
dc.subject digital shadow economy en
dc.subject indicators of shadow economy en
dc.subject causal variables en
dc.subject MIMIC model en
dc.subject.classification G34
dc.subject.classification M12
dc.title The methodology of digital shadow economy estimation en
dc.type Article en
dc.publisher.abbreviation TUL
dc.relation.isrefereed true
dc.identifier.doi 10.15240/tul/001/2017-4-002
dc.identifier.eissn 2336-5604
local.relation.volume 20
local.relation.issue 4
local.relation.abbreviation E+M cs
local.relation.abbreviation E&M en
local.faculty Faculty of Economics
local.citation.spage 20
local.citation.epage 33
local.access open
local.fulltext yes


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