The impact of economic freedom on corruption: different patterns for rich and poor countries
By P. Graeff, G. Mehlkop. 2003
256 citations recorded by the source corpus.
Subfields: Demography, Information Systems, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/91b1dd8464e6fc59ebd5b8629fab051b712d73d1
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Demography
- Sherrilyn M. Billger
- Adriana S. Cordis
- Patrick L. Warren
- Jac C. Heckelman
- Rajeev Kumar Goel
- Benjamin Powell
- Simplice A. Asongu
- Sovannroeun Samreth
In Information Systems
- Sherrilyn M. Billger
- Adriana S. Cordis
- Patrick L. Warren
- Jac C. Heckelman
- Rajeev Kumar Goel
- Benjamin Powell
- Simplice A. Asongu
- John W. Dawson
In Sociology and Political Science
- Sherrilyn M. Billger
- Adriana S. Cordis
- Patrick L. Warren
- Jac C. Heckelman
- Rajeev Kumar Goel
- Benjamin Powell
- Simplice A. Asongu
- John W. Dawson
Citations in the corpus
- Market oriented institutions and policies and economic growth: A critical survey (2006, unknown): “Berggren, 1999) and EF and corruption (e.g. Graeff and Mehlkop, 2003 ).”
- Do existing corruption levels matter in controlling corruption? ☆ ☆☆: Cross-country quantile regression estimates (2009, background): “For instance, Graeff and Mehlkop (2003) find that the effect of economic freedom on corruption differs across rich and poor nations.”
- Corruption and the Institutional Environment for Growth (2010, background): “We first describe our 7 Paldam (2002), Graeff and Mehlkop (2003), and Goel and Nelson (2005) have used the indexes of economic freedom to examine how economic freedom impacts corruption.”
- Sunshine as Disinfectant: The Effect of State Freedom of Information Act Laws on Public Corruption (2014, background): “Some studies that use country-level data, such as Graeff and Mehlkop (2003) and Goel and Nelson (2005), find a link between the degree of economic freedom in a country and its perceived corruption 32 We chose theNegative Binomialmodel over a Poissonmodel after plotting the corruption conviction…”