Adoption of mimic model for estimation of digital shadow economy

Ligita Gasparėnienė, Rita Remeikienė, Romualdas Ginevičius, Martin Schieg

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

This articles analyses a contemporary problem, which has not been thoroughly analysed in scientific literature – Estimation of Digital Shadow Economy through a modified MIMIC model. It is the first pilot research of such type, which allows to reveal the need of deeper data analysis and data collection. Received results show, that three causal factors (internet access, and PC availability for households, non-cash payments, placement of innovative financial instruments on a market) and three indicators (non-cash transfers through internet payment platforms, volume of payments in cryptocurrencies and parcels, which are tax free at the customs) are not enough in order to perform interpretations of economic results. Additionally, the data set should cover longer-term data, however the limitation appears due to relatively short existence of innovative financial products and the lack of information accumulation about necessary data in statistical databases.
Original languageEnglish
Pages (from-to)1453-1465
JournalTechnological and Economic Development of Economy
Volume24
Issue number4
DOIs
Publication statusPublished - 2018

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Payment
Shadow economy
World Wide Web
Economics
Household
Data collection
Data base
Factors
Financial instruments
Placement
Financial products
Tax

Keywords

  • digital shadow economy, MIMIC model

Cite this

Adoption of mimic model for estimation of digital shadow economy. / Gasparėnienė, Ligita; Remeikienė, Rita ; Ginevičius, Romualdas; Schieg , Martin.

In: Technological and Economic Development of Economy, Vol. 24, No. 4, 2018, p. 1453-1465.

Research output: Contribution to journalArticle

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