2010
DOI: 10.1080/10168737.2010.526010
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Regional Estimates of the Shadow Economy in Europe

Abstract: The aim of the paper is to estimate the extent of the shadow economy in the regions of the European Union. For this purpose the multiple-indicators multiple-causes approach combined with elements of spatial econometrics is implemented. The analysis shows that the shadow economy is most extensive in Eastern and Southern Europe, confirming results from previous literature. Within countries, the poorest regions tend to exhibit the highest shadow economy quotas. The smallest extent of shadow activities is obtained… Show more

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Cited by 57 publications
(39 citation statements)
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“…They also find that an increased burden of taxation (direct and indirect ones), combined with (labor market) regulations and the quality of public goods and services as well as the state of the 'official' economy are the driving forces of the shadow economy. In an other recent contribution Tafenau et al (2010) estimate the extent of the shadow economy in the regions of the European Union, using the multiple-indicators multiple-causes approach combined with elements of spatial econometrics is implemented. The analysis shows that the shadow economy is most extensive in Eastern and Southern Europe.…”
Section: Empirical Evidencementioning
confidence: 99%
See 1 more Smart Citation
“…They also find that an increased burden of taxation (direct and indirect ones), combined with (labor market) regulations and the quality of public goods and services as well as the state of the 'official' economy are the driving forces of the shadow economy. In an other recent contribution Tafenau et al (2010) estimate the extent of the shadow economy in the regions of the European Union, using the multiple-indicators multiple-causes approach combined with elements of spatial econometrics is implemented. The analysis shows that the shadow economy is most extensive in Eastern and Southern Europe.…”
Section: Empirical Evidencementioning
confidence: 99%
“…Avoiding tax payments is the very reason for the existence of tax evasion, and this may have an important impact on the effectiveness of fiscal policy to reach the desired objectives. More recently the estimates by Schneider, Buehn, and Montenegro (2010) and by Tafenau, Herwartz, and Schneider (2010) suggest that the size of the informal sector is significant and growing over time (more details are presented in Section 2).…”
Section: Introductionmentioning
confidence: 97%
“…Chaudhuri et al (2006), Tafenau et al (2010), Buehn (2011), or Wiseman (2013). In these studies, the standard approach to estimate size of the shadow economy is the MIMIC model.…”
Section: Measurement Of the Shadow Economymentioning
confidence: 99%
“…(2003) 102 Real GDP -1 394 Currency Holdings 1 Schneider (2005) 604 Annual Rate of GDP Change -1 Schneider (2005) 605 Average Working time (per week) -1 Schneider (2007) 11 Annual Rate of GDP -1 Schneider (2007) 12 Average working time -1 Buehn & Schneider (2008) 15 GDP 1 Buehn & Schneider (2008) 15 GDP - 1 Herwartz, Schneider & Tafenau (2015) 1580 GDP per capita -1 Schneider & Buehn (2009) 8 Growth Rate GDP - 1 Schneider & Buehn (2009) 10 GDP per capita -1 Schneider & Buehn (2009) 11 GDP per capita -1 Tafenau, Herwartz & Schneider (2010) 632 GPD per capita - 1 Feld & Schneider (2010) 130 Average working time(per week) -1 Schneider (2010) 450 Annual Rate of GDP 1 Schneider. Buehn, & Montenegro (2010) 449 Currency 1 * The various models also include different additional indicator variables, some of which occasionally appear as causal variables, thereby violating the MIMIC specification requirement that the indicators are conditionally independent of the causes, given the latent variable.…”
Section: ) Sse ≡ Y Umentioning
confidence: 99%