Measuring the shadow economy using company managers

Putniņš, TJ; Sauka, A

Measuring the shadow economy using company managers

Putniņš, TJ

Sauka, A

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Publication Type:: Journal Article
Citation:: Journal of Comparative Economics, 2015, 43 (2), pp. 471 - 490
Issue Date:: 2015-05-01

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Field	Value	Language
dc.contributor.author	Putniņš, TJ https://orcid.org/0000-0001-5731-499X	en_US
dc.contributor.author	Sauka, A	en_US
dc.date.available	2020-05-25T19:20:20Z
dc.date.issued	2015-05-01	en_US
dc.identifier.citation	Journal of Comparative Economics, 2015, 43 (2), pp. 471 - 490	en_US
dc.identifier.issn	0147-5967	en_US
dc.identifier.uri	http://hdl.handle.net/10453/34250
dc.description.abstract	© 2014 Association for Comparative Economic Studies. This study develops a method that uses surveys of company managers to measure the size of a shadow economy. Our method is based on the premise that company managers are the most likely to know how much business income and wages go unreported due to their unique position in dealing with both of these types of income. We use a range of survey design features to maximize the truthfulness of responses. Our method combines estimates of misreported business income, unregistered or hidden employees, and unreported wages, to arrive at an estimate of the size of a shadow economy as a percentage of GDP. This approach differs from most other studies of shadow economies, which largely focus on using macroindicators. We illustrate the application of our method to three new EU member countries. We also analyze the factors that influence companies' participation in the shadow economy.	en_US
dc.relation.ispartof	Journal of Comparative Economics	en_US
dc.relation.isbasedon	10.1016/j.jce.2014.04.001	en_US
dc.subject.classification	Economics	en_US
dc.title	Measuring the shadow economy using company managers	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	43	en_US
utslib.for	1402 Applied Economics	en_US
utslib.for	1499 Other Economics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Business/Finance Discipline
utslib.copyright.status	open_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	43	en_US

Abstract:

© 2014 Association for Comparative Economic Studies. This study develops a method that uses surveys of company managers to measure the size of a shadow economy. Our method is based on the premise that company managers are the most likely to know how much business income and wages go unreported due to their unique position in dealing with both of these types of income. We use a range of survey design features to maximize the truthfulness of responses. Our method combines estimates of misreported business income, unregistered or hidden employees, and unreported wages, to arrive at an estimate of the size of a shadow economy as a percentage of GDP. This approach differs from most other studies of shadow economies, which largely focus on using macroindicators. We illustrate the application of our method to three new EU member countries. We also analyze the factors that influence companies' participation in the shadow economy.

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http://hdl.handle.net/10453/34250