In: Health Education Research, 2016, vol. 31, no. 2, p. 109-120
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In: Agricultural and Resource Economics Review, 2019, vol. 48, no. 1, p. 117-141
This study investigates the effects of a local information campaign on farmers’ interest in a rural development programme (RDP) in the former Yugoslav Republic of Macedonia. The results suggest that while our intervention succeeded in informing farmers, it had a negative, albeit only marginally significant, effect on the reported possibility of using future RDP support. This puzzling result...
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In: Empirical Economics, 2020, p. 1-24
This paper examines how anti-corruption educational campaigns affect the attitudes of Russian university students toward corruption and academic integrity in the short run. About 2000 survey participants were randomly assigned to one of four different information materials (brochures or videos) about the negative consequences of corruption or to a control group. While we do not find important...
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Thèse de doctorat : Université de Fribourg, 2019.
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In: Mitigation and Adaptation Strategies for Global Change, 2014, vol. 19, no. 2, p. 123-142
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In: Educational studies. Moscow, 2016, no. 1, p. 61-83
The authors investigate the effect of anti-corruption educational materials — an informational folder with materials designed by Transparency International — on the willingness of students to participate in an anti-corruption campaign and their general judgment about corruption in two cities in Russia and Ukraine by conducting experiments. During a survey of 350 students in Khabarovsk,...
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In: Social Justice Research, 2010, vol. 23, no. 1, p. 17-36
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In: The European Journal of Health Economics, 2013, vol. 14, no. 4, p. 587-599
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In: Biodiversity and Conservation, 2010, vol. 19, no. 4, p. 1009-1024
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(Working Papers SES ; 487)
This paper examines how anti-corruption educational campaigns affect the attitudes of Russian university students towards corruption and academic integrity. About 2,000 survey participants were randomly assigned to one of four different information materials (brochures or videos) about the negative consequences of corruption or to a control group. Using machine learning to detect effect...
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