Do Anti-Corruption Educational Campaigns Reach Students? Some Evidence from Russia and Ukraine
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- Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira, 2016. "On the development of students’ attitudes towards corruption and cheating in Russian universities," FSES Working Papers 467, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Daniel Gingerich & Virginia Oliveros & Ana Corbacho & Mauricio Ruiz-Vega, 2015. "Corruption as a Self-Fulfilling Prophecy: Evidence from a Survey Experiment in Costa Rica," IDB Publications (Working Papers) 88334, Inter-American Development Bank.
- Jetter, Michael & Walker, Jay K., 2015.
"Good Girl, Bad Boy: Corrupt Behavior in Professional Tennis,"
IZA Discussion Papers
8824, Institute of Labor Economics (IZA).
- Michael Jetter & Jay K. Walker, 2015. "Good girl, bad boy: Corrupt behavior in professional tennis," Documentos de Trabajo de Valor Público 12545, Universidad EAFIT.
- Bryan S. Graham & Cristine Campos De Xavier Pinto & Daniel Egel, 2012.
"Inverse Probability Tilting for Moment Condition Models with Missing Data,"
The Review of Economic Studies, Review of Economic Studies Ltd, vol. 79(3), pages 1053-1079.
- Bryan S. Graham & Cristine Campos de Xavier Pinto & Daniel Egel, 2008. "Inverse Probability Tilting for Moment Condition Models with Missing Data," NBER Working Papers 13981, National Bureau of Economic Research, Inc.
- Osipian, Ararat L., 2012. "Economics of corruption in doctoral education: The dissertations market," Economics of Education Review, Elsevier, vol. 31(1), pages 76-83.
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Cited by:
- Elena Denisova-Schmidt & Martin Huber & Elvira Leontyeva & Anna Solovyeva, 2021.
"Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students,"
Empirical Economics, Springer, vol. 60(4), pages 1661-1684, April.
- Denisova-Schmidt, Elena & Huber, Martin & Leontyeva, Elvira & Solovyeva, Anna, 2017. "Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students," FSES Working Papers 487, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
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