ADOPTION OF MIMIC MODEL FOR ESTIMATION OF DIGITAL SHADOW ECONOMY

Author:

Gasparėnienė Ligita1,Remeikienė Rita1,Ginevičius Romualdas2,Schieg Martin3

Affiliation:

1. Mykolas Romeris University

2. Vilnius Gediminas Technical University

3. Technical University of Munich

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.

Publisher

Vilnius Gediminas Technical University

Subject

Finance

Reference43 articles.

1. Cybercafes, Cybercrime Detection and Prevention

2. First party fraud: a review of the forms and motives of fraudulent consumer behaviours in e-tailing

3. Consumer identity theft prevention and identity fraud detection behaviours

4. The impact of moral equity, relativism and attitude on individuals’ digital piracy behaviour in a developing country

5. AT Kearney. 2013. The shadow economy in Europe 2013 [online], [cited 16 November 2016]. Financial Institutions. Available from Internet: https://www.atkearney.com/financial-institutions/featured-article/-/asset_publisher/j8IucAqMqEhB/content/the-shadow-economy-in-europe-2013/10192

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3