scholarly journals Estimating the Size of the Shadow Economy in Nine MENA Countries during the Period 2000 to 2017 Using the MIMIC Model

OALib ◽  
2019 ◽  
Vol 06 (07) ◽  
pp. 1-5
Author(s):  
Ahmed Magdy Abd El Aziz Mansour ◽  
Iman Moheb Zaki
Keyword(s):  
Shadow Economy ◽  
Mimic Model ◽  
Mena Countries

scholarly journals The informal sector in the structure of the national economy: Simulation and evaluation

2020 ◽  
Vol 7 (3) ◽  
pp. 292-304
Author(s):  
Olga Lizina ◽  
Dinara Bistyaykina ◽  
Eka Ermakova ◽  
Tatyana Badokina ◽  
Tatiana Solovyeva
Keyword(s):  
Economic Development ◽  
Factor Analysis ◽  
Russian Federation ◽  
National Economy ◽  
Shadow Economy ◽  
Mimic Model ◽  
Government Regulations ◽  
The Russian Federation ◽  
Simulation And Evaluation ◽  
The Impact

The research into the shadow economy has scientific and practical value. Any state is interested in evaluating the size of the shadow economy as it affects the goals and priorities of the country’s development. This study presents a model for evaluating the shadow economy in the Russian Federation. The authors developed and analyzed an approach to measuring the shadow economy based on factor analysis and a MIMIC model. The study features the factor analysis of the official statistics for Russia over the period from 1992 to 2019, with more than 150 indicators characterizing different spheres of the life of the country. The authors determined the factors affected by the shadow economy, built a MIMIC model on this basis, and estimated the size of the shadow economy in Russia. Assessing the size of shadow activity is important for analyzing economic development and the impact of government regulations on the shadow sector

scholarly journals The Shadow Economy in Pakistan: An Analysis with MIMIC Model

2021 ◽  
Vol 9 (3) ◽  
pp. 340-350
Author(s):  
Attiqa Jabbar ◽  
Javed Iqbal
Keyword(s):  
Economic Policy ◽  
Latent Variable ◽  
Shadow Economy ◽  
Driving Forces ◽  
Economic Activities ◽  
Mimic Model ◽  
Multiple Indicators ◽  
Macroeconomic Indicators ◽  
The Impact ◽  
Business Freedom

This paper explicitly presents the estimation of the size and development of the shadow economy. The study examines the impact of multiple exogenous causes (observed variables) on the shadow economy (latent variable) and the size of the shadow economy influencing the performance of multiple macroeconomic indicators. In order to accomplish this econometric analysis, a MIMIC Model (Multiple Indicators Multiple Causes Model) is applied over the period 2011 to 2021. The results indicate that the tax burden, business freedom, unemployment rate, and Gross Domestic Product are the key driving forces of the shadow economy in Pakistan. The findings are potentially beneficial for the policymakers in identifying and dealing with the shadow economic activities as well as developing the strategies relevant to the economic policy.

scholarly journals IDENTIFICATION OF THE SHADOW ECONOMY DETERMINANTS FOR THE EUROZONE MEMBER STATES: APPLICATION OF THE MIMIC MODEL

2019 ◽  
Vol 19 (6) ◽  
pp. 777-796 ◽  
Author(s):  
Rita Remeikienė ◽  
Ligita Gasparėnienė ◽  
Viktoras Chadyšas ◽  
Martin Cepel
Keyword(s):  
Labour Market ◽  
Shadow Economy ◽  
Wage Gap ◽  
Geographical Area ◽  
Market Mechanism ◽  
Mimic Model ◽  
Member States ◽  
Causal Factors ◽  
The Public ◽  
Reduction Strategies

This article is aimed at identification of the shadow economy’s causal factors and indicators in 19 Eurozone member states over the period from 2005 to 2016. Application of the MIMIC model has allowed to identify the following causal factors of the shadow economy in the Eurozone: employment rate, gender wage gap and income inequalities (expressed as the GINI index). All of these causal factors of the shadow economy in the Eurozone are attributable to the group of labour market determinants, which proposes that a reasonably arranged labour market mechanism can substantially diminish the probability of the shadow economy emergence. On the other hand, it has been found that the level of the shadow economy determines a positive/negative degree of the public trust in the EU authorities. The novelty of the research lies in the disclosure of the main causal factors of the shadow economy in the geographical area that covers different countries with a single currency. The findings of this research may contribute to the development of the shadow economy reduction strategies in 19 Eurozone member states.

scholarly journals Determinants of the Shadow Economy in the Czech Regions: A Region-Level Study

2017 ◽  
Vol 17 (3) ◽  
pp. 315-329 ◽  
Author(s):  
Jakub Buček
Keyword(s):  
Czech Republic ◽  
Labour Market ◽  
Shadow Economy ◽  
State Level ◽  
The State ◽  
Mimic Model ◽  
The Czech Republic ◽  
Multiple Indicators ◽  
Big Cities ◽  
Multiple Causes

Abstract This paper investigates the size and development of the shadow economy in the Czech Republic on the state-level base over the 2005-2014 period. The multiple indicators multiple causes (MIMIC) model is used to assess the estimation of the shadow economy size. I investigate how labour market, number of people with at least one distraint, and the burden of taxation might contribute to the existence of the shadow economy. While the former two are important determinants of the shadow economy, I find no evidence to prove any significant impact of distraints on the shadow economy size. As for the country’s particular regions, I find that those surrounding big cities, especially Prague, have, on average, a smaller shadow economy size, whereas regions in the borderlands (former Sudetenland) suffer from a larger shadow economy.

scholarly journals ADOPTION OF MIMIC MODEL FOR ESTIMATION OF DIGITAL SHADOW ECONOMY

2018 ◽  
Vol 24 (4) ◽  
pp. 1453-1465 ◽  
Author(s):  
Ligita Gasparėnienė ◽  
Rita Remeikienė ◽  
Romualdas Ginevičius ◽  
Martin Schieg
Keyword(s):  
Shadow Economy ◽  
Scientific Literature ◽  
Cash Transfers ◽  
Data Set ◽  
Mimic Model ◽  
Causal Factors ◽  
Financial Products ◽  
Lack Of Information ◽  
Digital Shadow ◽  
Term Data

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.

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