The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Shadow Economies Around the World: Size, Causes, and Consequences
Open accessAbstract
This paper presents estimates of the size of the shadow economy in 76 developing, transition, and OECD countries, which are derived by combining figures from different estimation methods. We describe and discuss the strengths and weaknesses of the different estimation methods. We find that the growth of the shadow economy—which is now remarkably large in the 76 countries—is strongly related to increasing burdens of taxation and social security contributions, as well as to the extent of state regulatory activities. Rising corruption also has a clearly positive impact on the growth of the shadow economy.
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Citations
Cites
Income tax evasion: a theoretical analysis
Allingham, M. G., & Sandmo, A. (1972) · Journal of Public Economics · doi:10.1016/0047-2727(72)90010-2 · Cited by 4,970
Cited by
Myths and Realities of Governance and Corruption
Kaufmann, D. (2005) · SSRN Electronic Journal · doi:10.2139/ssrn.829244 · Cited by 286
Metadata
- Authors
- Schneider, F., Enste, D., FSchneider@imf.org, & DEnste@imf.org
- Venue
- IMF Working Papers
- Publisher
- International Monetary Fund (IMF)
- Published
- 2000
- Volume
- 00
- Issue
- 26
- Pages
- 1
- ISSN
- 1018-5941 (ISSN-L)
- OpenAlex
- W3124804219
- Cited by
- 264
- References
- 1
- FWCI
- 33.95
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Schneider, F., Enste, D., FSchneider@imf.org, & DEnste@imf.org. (2000). Shadow Economies Around the World: Size, Causes, and Consequences. IMF Working Papers. https://doi.org/10.5089/9781451844375.001
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
