scholarly journals The shadow economy in three Mediterranean countries: France, Spain and Greece. A MIMIC approach

2007 ◽  
Vol 33 (1) ◽  
pp. 197-197 ◽  
Author(s):  
Roberto Dell’Anno ◽  
Miguel Gómez-Antonio ◽  
Angel Alañon-Pardo
Keyword(s):  
Shadow Economy ◽  
Mediterranean Countries ◽  
Mimic Approach

scholarly journals The shadow economy in three Mediterranean countries: France, Spain and Greece. A MIMIC approach

2006 ◽  
Vol 33 (1) ◽  
pp. 51-84 ◽  
Author(s):  
Roberto Dell’Anno ◽  
Miguel Gómez-Antonio ◽  
Angel Pardo
Keyword(s):  
Shadow Economy ◽  
Mediterranean Countries ◽  
Mimic Approach

scholarly journals DOES THE SHADOW ECONOMY AFFECT FOREIGN DIRECT INVESTMENT? CASE STUDY OF POLAND AND POLISH REGIONS

2021 ◽  
pp. 22-39
Author(s):  
Andrzej Buszko
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Shadow Economy ◽  
Pearson Correlation ◽  
Positive Association ◽  
Correlation Index ◽  
Regional Associations ◽  
The Relationship ◽  
Mimic Approach

The main goal of the research was to identify the relationship between the level of shadow economy and Foreign Direct Investment. The research was carried in Poland and Polish regions during 1990-2020. MIMIC approach was employed to calculate the level of shadow economy as a % of Polish and regional GDP. Pearson correlation index and Kolmogrov-Smirnov test were applied as well. The study proved there is a sound negative correlation (-0,636) between the shadow economy and foreign direct investment in Poland, but regional associations between those two variables demonstrated different results. Unlike in other Polish provinces, in Opolskie and Podkarpackie the correlation index confirmed a positive association between the level of shadow economy and FDI flow.

Behind the GDP: some remarks on the shadow economy in Mediterranean countries

2014 ◽  
Vol 45 (1) ◽  
pp. 147-173
Author(s):  
Claudio Quintano ◽  
Paolo Mazzocchi
Keyword(s):  
Shadow Economy ◽  
Mediterranean Countries

Estimating shadow economy in Tanzania: an analysis with the MIMIC approach

2018 ◽  
Vol 45 (1) ◽  
pp. 100-113 ◽  
Author(s):  
Roberto Dell’Anno ◽  
Adriana AnaMaria Davidescu ◽  
Nguling’wa Philip Balele
Keyword(s):  
Government Spending ◽  
Latent Variable ◽  
Shadow Economy ◽  
Small Sample Size ◽  
Small Sample ◽  
Content Type ◽  
The Government ◽  
Statistical Relationships ◽  
Monetary Models ◽  
Mimic Approach

Purpose The purpose of this paper is to estimate the Tanzanian shadow economy (SE) from 2003 to 2015 and test the statistical relationships between the SE and its potential causes and indicators. Design/methodology/approach The econometric analysis is based on a multiple indicators multiple causes (MIMIC) model. To calibrate the SE from the estimates, the authors adopt the value of 55.4 percentage of the SE to official GDP from the literature for the base year 2005. Findings The SE ranges from 52 to 61 per cent of official GDP and slightly decreases from 2013 to 2015. Increase in inflation, unemployment and government spending were the main drivers of the SE dynamics. Research limitations/implications Given the challenges facing estimation of the SE (e.g. small sample size, exogenous estimate to calibrate the model, meaning of the latent variable), quantification of SE should be considered to be rough measures. Practical implications To lower the size of the SE, the government needs to keep inflation and unemployment stable over time, to reduce government spending because it creates pressure on tax collection due to the limited tax base. Originality/value This is the first study specifically focused on Tanzanian SE based on the MIMIC approach. Existing estimates of Tanzanian SE are calculated by monetary models or apply a common MIMIC specification to the worldwide context.

Measuring the size of the shadow economy in 30 provinces of China over 1995–2016: The MIMIC approach

2019 ◽  
Vol 25 (3) ◽  
pp. 427-453
Author(s):  
Hailin Chen ◽  
Friedrich Schneider ◽  
Qunli Sun
Keyword(s):  
Shadow Economy ◽  
Mimic Approach

scholarly journals Labour Market Flexibility in the Context of the Shadow Economy for the Construction Industry

2020 ◽  
Vol 19 (4) ◽  
pp. 23-32
Author(s):  
Andrzej Buszko
Keyword(s):  
Labour Market ◽  
Construction Industry ◽  
Shadow Economy ◽  
Pearson Correlation ◽  
Research Problem ◽  
Correlation Index ◽  
Main Research ◽  
Labour Market Flexibility ◽  
Industry Output ◽  
Mimic Approach

The article analyses labour market flexibility in the context of the shadow economy. The main research problem is devoted to the flexibility of the construction labour market in relation to the level of labourers who work in a country's shadow economy. The following hypothesis was adopted: Flexibility of the labour market for the construction industry decreases with an increase in the level of the shadow economy. The MIMIC approach was used to calculate the level of the shadow economy in a group of selected countries, divided into three categories. The first category includes countries with a relatively low level of shadow economy (less than 15% of their GDP). The second group contains a level starting from 15 to 25% of their GDP, while the third group has a shadow economy that exceeds 25% of GDP. The Pearson correlation index was applied in order to measure the coefficient level between market flexibility and the size of the shadow economy. The flexibility of the labour market was calculated as the change of unemployment caused by the change of construction industry output. The research proved that the correlation between market flexibility and the shadow economy is significant. This is due to the fact that the Pearson index reached the level of 0.866, which means that whenever the shadow economy increases, the labour market flexibility of the construction industry decreases. (original abstract)

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