The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
CORRUPTION AND THE SHADOW ECONOMY*
Abstract
This article develops a simple framework for analyzing the links between corruption and the unofficial economy and their implications for the official economy. In a model of self‐selection with heterogeneous entrepreneurs, we show that the entrepreneurs' option to flee to the underground economy constrains a corrupt official's ability to introduce distortions to the economy for private gains. The unofficial economy thus mitigates government‐induced distortions and, as a result, leads to enhanced economic activities in the official sector. In this sense, the presence of the unofficial sector acts as a complement to the official economy instead of as a substitute.
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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
Djankov, S., La Porta, R., Lopez-de-Silanes, F., & Shleifer, A. (2002) · The Quarterly Journal of Economics · doi:10.1162/003355302753399436 · Cited by 3,956
Cited by
Abou Ltaif, S. F., Mihai-Yiannaki, S., & Thrassou, A. (2024) · Risks · doi:10.3390/risks12080122 · Cited by 16
Metadata
- Authors
- Choi, J. P., & Thum, M.
- Venue
- International Economic Review
- Publisher
- Wiley
- Published
- 2005-07-05
- Volume
- 46
- Issue
- 3
- Pages
- 817-836
- ISSN
- 0020-6598 (ISSN-L)
- 1468-2354
- OpenAlex
- W3122254355
- Cited by
- 337
- References
- 2
- FWCI
- 46.04
- Type
- journal article
- Language
- en
- Open access
- closed
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- Choi, J. P., & Thum, M. (2005). CORRUPTION AND THE SHADOW ECONOMY*. International Economic Review. https://doi.org/10.1111/j.1468-2354.2005.00347.x
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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.