Université de Fribourg

Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students

Denisova-Schmidt, Elena ; Huber, Martin ; Leontyeva, Elvira ; Solovyeva, Anna

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...

Université de Fribourg

On the sensitivity of wage gap decompositions

Huber, Martin ; Solovyeva, Anna

(Working Papers SES ; 497)

This paper investigates the sensitivity of average wage gap decompositions to methods resting on different assumptions regarding endogeneity of observed characteristics, sample selection into employment, and estimators’functional form. Applying five distinct decomposition techniques to estimate the gender wage gap in the U.S. using data from the National Longitudinal Survey of Youth 1979,...

Université de Fribourg

Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students

Denisova-Schmidt, Elena ; Huber, Martin ; Leontyeva, Elvira ; Solovyeva, Anna

(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...