The methodology of digital shadow economy estimation

dc.contributor.authorGasparėnienė, Ligita
dc.contributor.authorBilan, Yuriy
dc.contributor.authorRemeikienė, Rita
dc.contributor.authorGinevičius, Romualdas
dc.contributor.authorČepel, Martin
dc.contributor.otherEkonomická fakultacs
dc.date.accessioned2017-12-20
dc.date.available2017-12-20
dc.date.issued2017-12-20
dc.description.abstractThe 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.formattext
dc.format.extent14 stran
dc.identifier.doi10.15240/tul/001/2017-4-002
dc.identifier.eissn2336-5604
dc.identifier.issn1212-3609
dc.identifier.urihttps://dspace.tul.cz/handle/15240/21376
dc.language.isoen
dc.publisherTechnical university of Liberec, Czech Republicen
dc.publisherTechnická Univerzita v Libercics
dc.publisher.abbreviationTUL
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dc.relation.ispartofEkonomie a Managementcs
dc.relation.ispartofEconomics and Managementen
dc.relation.isrefereedtrue
dc.rightsCC BY-NC
dc.subjectshadow economyen
dc.subjectdigital shadow economyen
dc.subjectindicators of shadow economyen
dc.subjectcausal variablesen
dc.subjectMIMIC modelen
dc.subject.classificationG34
dc.subject.classificationM12
dc.titleThe methodology of digital shadow economy estimationen
dc.typeArticleen
local.accessopen
local.citation.epage33
local.citation.spage20
local.facultyFaculty of Economics
local.fulltextyes
local.relation.abbreviationE+Mcs
local.relation.abbreviationE&Men
local.relation.issue4
local.relation.volume20
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