The methodology of digital shadow economy estimation

Show simple item record
dc.contributor.authorGasparėnienė, Ligita
dc.contributor.authorBilan, Yuriy
dc.contributor.authorRemeikienė, Rita
dc.contributor.authorGinevičius, Romualdas
dc.contributor.authorČepel, Martin
dc.date.accessioned2018-01-05T10:22:46Z
dc.date.available2018-01-05T10:22:46Z
dc.date.issued2017
dc.description.abstract-translatedThe 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 fi nancial 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 verifi cation of the model proposed here, numerical values of both causal variables and indicators would be necessary. Unfortunately, offi cial 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.format14 s.cs
dc.format.mimetypeapplication/pdf
dc.identifier.citationE+M. Ekonomie a Management = Economics and Management. 2017, č. 4, s. 20-33.cs
dc.identifier.doi10.15240/tul/001/2017-4-002
dc.identifier.issn2336-5604 (Online)
dc.identifier.issn1212-3609 (Print)
dc.identifier.urihttp://hdl.handle.net/11025/26615
dc.language.isoenen
dc.publisherTechnická univerzita v Libercics
dc.relation.ispartofseriesE+M. Ekonomie a Management = Economics and Managementcs
dc.rights© Technická univerzita v Libercics
dc.rightsCC BY-NC 4.0cs
dc.rights.accessopenAccessen
dc.subjectstínová ekonomikacs
dc.subjectdigitální stínová ekonomikacs
dc.subjectindikátorycs
dc.subjectkauzální proměnnécs
dc.subjectMIMIC modelcs
dc.subject.translatedshadow economyen
dc.subject.translateddigital shadow economyen
dc.subject.translatedindicatorsen
dc.subject.translatedcausal variablesen
dc.subject.translatedMIMIC modelen
dc.titleThe methodology of digital shadow economy estimationen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

Files

Original bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
Gaspareniene.pdf
Size:
1.12 MB
Format:
Adobe Portable Document Format
Description:
Plný text
Download
License bundle
Showing 1 - 1 out of 1 results
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description:
Download

Collections

Číslo 4 (2017)
Číslo 4 (2017)