Using Micro-Surveys to Measure and Explain Corruption

By R. Reinikka, Jakob Svensson. 2006

234 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/81be5f9ae77010c4b86704dc25ef21d0c321e303

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. Chen Lin
2. Charles Kenny
3. Ping Lin
4. Frank M. Song
5. G. Schepens
6. Claudia Senik
7. Andrew E. Clark
8. Haiyang Zhang

In Sociology and Political Science

1. Chen Lin
2. Frank M. Song
3. Charles Kenny
4. Ping Lin
5. Vanessa S. Tchamyou
6. Yue Ma
7. Claudia Senik
8. Andrew E. Clark

Citations in the corpus

• Property rights protection and corporate R&D: Evidence from China (2010, methodology): “Theypointout that if the endogeneity problem is specific to firms, but not industries or locations, then netting out this firm-specific component yields a property right measure that only depends on the underlying characteristics inherent to particular industries and/or locations (Reinnikka and Sven”
• Does bribery in the home country promote or dampen firm exports (2013, unknown): “Mgmt. J., 34: 1472–1487 (2013) DOI: 10.1002/smj respondents “discuss corruption with remarkable candor” (Reinikka and Svensson, 2006: 365).”
• Measuring Corruption in Infrastructure: Evidence from Transition and Developing Countries (2009, background): “These surveys have found significant leakage of funds, such as between 30–76 per cent of non-wage funds for primary education in African countries (Reinikka and Svensson, 2006).”