Title:	The methodology of digital shadow economy estimation
Authors:	Gasparėnienė, Ligita Bilan, Yuriy Remeikienė, Rita Ginevičius, Romualdas Čepel, Martin
Citation:	E+M. Ekonomie a Management = Economics and Management. 2017, č. 4, s. 20-33.
Issue Date:	2017
Publisher:	Technická univerzita v Liberci
Document type:	článek article
URI:	http://hdl.handle.net/11025/26615
ISSN:	2336-5604 (Online) 1212-3609 (Print)
Keywords:	stínová ekonomika;digitální stínová ekonomika;indikátory;kauzální proměnné;MIMIC model
Keywords in different language:	shadow economy;digital shadow economy;indicators;causal variables;MIMIC model
Abstract in different language:	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 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.
Rights:	© Technická univerzita v Liberci CC BY-NC 4.0
Appears in Collections:	Číslo 4 (2017) Číslo 4 (2017)

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