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Estimating the shadow economy in enterprises

A new approach

Bibliographic Data

ID6431772
AuthorsAnna Czapkiewicz (0000-0002-6144-8381), Małgorzata Sobieraj, Katarzyna Brzozowska‐rup (0000-0003-1231-8027), Katarzyna Brzozowska-Rup
Year2025
Volume18
Issue2
Pages270-282
Publication date2025-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueJOURNAL OF INTERNATIONAL STUDIES (JOURNAL)
Journal identifiersISSN: 2071-8330 • E-ISSN: 2306-3483
PublisherCentre of Sociological Research, NGO (PUBLISHER)
DOI10.14254/2071-8330.2025/18-2/15
OpenAlexW4413073323
LanguageEN
Citations received1
References cited25

This article presents an innovative method for estimating the size of the shadow economy in microenterprises that combines the use of survey data and an econometric model specifically designed for this purpose. The main premise of the proposed approach is that expected gross income is calculated as revenue minus the costs of generating income. The analysis focuses on survey responses regarding the perceptions of satisfactory income and satisfactory revenue, and estimated costs. An econometric model (MUM) was constructed to capture respondents declarations and identify hidden components of income. The method was empirically tested using data from the Statistics Poland (GUS), focusing on microenterprises with 1 to 9 employees. The analysis covered six sectors based on the Polish Classification of Economic Activities (PKD). The results, which are consistent with official shadow economy estimates published by GUS, suggest that the proposed methodology can serve as a valuable tool for the early-stage analysis of the shadow economy in microenterprises

Econometric analysis · Econometric model · Econometrics · Economics · Economy · Estimation · Macroeconomics · Premise · Revenue · Shadow (psychology · Shadow price · Corporate Taxation and Avoidance · Cyberloafing and Workplace Behavior · Mathematics · Taxation and Compliance Studies · Finance

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Unique citing works1
Citations per year1
Citation span2025 - 2025 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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