The methodology of digital shadow economy estimation

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F70883521%3A28120%2F17%3A63517309" target="_blank" >RIV/70883521:28120/17:63517309 - isvavai.cz</a>

Result on the web

<a href="http://dx.doi.org/10.15240/tul/001/2017-4-002" target="_blank" >http://dx.doi.org/10.15240/tul/001/2017-4-002</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.15240/tul/001/2017-4-002" target="_blank" >10.15240/tul/001/2017-4-002</a>

Result language

angličtina

Original language name

The methodology of digital shadow economy estimation

Original language description

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.

Czech name

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Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

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OECD FORD branch

50201 - Economic Theory

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

E+M. Ekonomie a Management

ISSN

1212-3609

e-ISSN

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Volume of the periodical

20

Issue of the periodical within the volume

4

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

14

Pages from-to

20-33

UT code for WoS article

000419822200002

EID of the result in the Scopus database

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