Nonlinearity Between the Shadow Economy and Level of Development /

This paper is the first attempt to directly explore the long-run nonlinear relationship between the shadow economy and level of development. Using a dataset of 158 countries over the period from 1996 to 2015, our results reveal a robust U-shaped relationship between the shadow economy size and GDP p...

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Bibliographic Details
Main Author: Frank Wu, Dong
Other Authors: Schneider, Friedrich
Format: Journal
Language:English
Published: Washington, D.C. : International Monetary Fund, 2019.
Series:IMF Working Papers; Working Paper ; No. 2019/048
Online Access:Full text available on IMF
Description
Summary:This paper is the first attempt to directly explore the long-run nonlinear relationship between the shadow economy and level of development. Using a dataset of 158 countries over the period from 1996 to 2015, our results reveal a robust U-shaped relationship between the shadow economy size and GDP per capita. Our results imply that the shadow economy tends to increase when economic development surpasses a given threshold or at least does not disappear. Our findings suggest that special attention should be given to the country's level of development when designing policies to tackle issues related to the shadow economy.
Item Description:<strong>Off-Campus Access:</strong> No User ID or Password Required
<strong>On-Campus Access:</strong> No User ID or Password Required
Physical Description:1 online resource (29 pages)
Format:Mode of access: Internet
ISSN:1018-5941
Access:Electronic access restricted to authorized BRAC University faculty, staff and students