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Shadow Economies and Corruption All Over the World - Index of - IZA

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5 Summary <strong>and</strong> Conclusions<br />

There have been many obstacles to overcome to measure <strong>the</strong> size <strong>of</strong> <strong>the</strong> shadow economy, to<br />

analyze its consequences on <strong>the</strong> <strong>of</strong>ficial economy <strong>and</strong> <strong>the</strong> interaction between corruption <strong>and</strong><br />

<strong>the</strong> shadow economy, but as this paper shows some progress has been made. I provided<br />

estimates <strong>of</strong> <strong>the</strong> size <strong>of</strong> <strong>the</strong> shadow economies for 145 countries for three periods <strong>of</strong> time<br />

(1999/2000, 2001/2002 <strong>and</strong> 2002/2003) using <strong>the</strong> DYMIMIC <strong>and</strong> <strong>the</strong> currency dem<strong>and</strong><br />

approach. Coming back to <strong>the</strong> question in <strong>the</strong> headline <strong>of</strong> this paper, some (new)<br />

knowledge/insights are gained with respect to <strong>the</strong> size <strong>and</strong> development <strong>of</strong> <strong>the</strong> shadow<br />

economy <strong>of</strong> developing, transition, highly developed OECD, Pacific Isl<strong>and</strong>s <strong>and</strong> Communist<br />

countries, 30) <strong>and</strong> to <strong>the</strong> relationship between <strong>the</strong> shadow economy <strong>and</strong> corruption leading to<br />

five conclusions:<br />

The first conclusion from <strong>the</strong>se results is that for all countries investigated <strong>the</strong> shadow<br />

economy has reached a remarkably large size; <strong>the</strong> summarized results are shown in table 5.1.<br />

Table 5.1: Average Size <strong>of</strong> <strong>the</strong> <strong>Shadow</strong> Economy for Developing, Transition <strong>and</strong> OECD-<br />

Countries in % <strong>of</strong> <strong>of</strong>ficial GDP<br />

Average Size <strong>of</strong> <strong>the</strong> <strong>Shadow</strong> Economy – Value added in % <strong>of</strong><br />

<strong>of</strong>ficial GDP using DYMIMIC <strong>and</strong> Currency Dem<strong>and</strong><br />

Countries/Year<br />

method (Number <strong>of</strong> Countries)<br />

Mostly developing countries: 1999/2000 2000/2001 2002/2003<br />

Africa 41.3<br />

(37)<br />

Central <strong>and</strong> South America 41.1<br />

(21)<br />

Asia 28.5<br />

(28)<br />

Transition countries<br />

38.1<br />

(25)<br />

Highly developed OECD<br />

Countries<br />

16.8<br />

(21)<br />

South Pacific Isl<strong>and</strong>s 31.7<br />

(10)<br />

Communist Countries 19.8<br />

(3)<br />

Unweighted Average over 145<br />

Countries<br />

Source: Own calculations.<br />

42.3<br />

(37)<br />

42.1<br />

(21)<br />

29.5<br />

(28)<br />

39.1<br />

(25)<br />

16.7<br />

(21)<br />

32.6<br />

(10)<br />

21.1<br />

(3)<br />

43.2<br />

(37)<br />

43.4<br />

(21)<br />

30.4<br />

(28)<br />

40.1<br />

(25)<br />

16.3<br />

(21)<br />

33.4<br />

(10)<br />

22.3<br />

(3)<br />

33.6 34.5 35.2<br />

30) In <strong>the</strong> appendix some critical discussion <strong>of</strong> <strong>the</strong>se two methods is given, <strong>the</strong>y have well known weaknesses,<br />

compare also Pedersen (2003).<br />

34

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