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Cited by 113Corruption and Economic DevelopmentExperimental Behavioral Economics StudiesTaxation and Compliance Studies

The DOI matches its Crossref record; 26 of the 26 references it cites were found in a registry or an index.

Transparency, wages, and the separation of powers: An experimental analysis of corruption

Azfar, Omar, Nelson, William Robert·2007·Public Choice

Overview

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Crossref · 10.1007/s11127-006-9101-5

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Citations

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Metadata

Authors
Azfar, O., & Nelson, W. R.
Affiliations
  • The Graduate Center, CUNY (US)
  • George Mason University (US)
Corresponding author
Nelson, William Robert
Venue
Public Choice
Published
2007-01-06
Volume
130
Issue
3-4
Pages
471-493
ISSN
  • 0048-5829 (ISSN-L)
  • 1573-7101
OpenAlex
W2070017865
Cited by
113
References
28
Citations by year
2026: 2 · 2025: 5 · 2024: 8 · 2023: 5 · 2022: 8 · 2021: 9 · 2020: 9 · 2019: 7 · 2018: 10 · 2017: 10 · 2016: 10 · 2015: 9 · 2014: 4 · 2013: 5 · 2012: 6
FWCI
4.50
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (tdm)
Locations
  • Public Choice (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Funders
Institute for Humane Studies, George Mason University
Topics
  • Social Sciences › Sociology and Political Science › Corruption and Economic Development
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Experimental Behavioral Economics Studies
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Taxation and Compliance Studies
Keywords
corruption, transparency, separation of powers, law enforcement officers, direct elections, appointment of officials, re-election, political accountability

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CoChat. (2026). Citation check: Transparency, wages, and the separation of powers: An experimental analysis of corruption. https://app.cochat.ai/papers/10.1007/s11127-006-9101-5
The paper
Azfar, O., & Nelson, W. R. (2007). Transparency, wages, and the separation of powers: An experimental analysis of corruption. Public Choice. https://doi.org/10.1007/s11127-006-9101-5

Data sources

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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.