Combining experimental evidence with machine learning to assess anti-corruption educational campaigns among Russian university students
Elena Denisova-Schmidt, Martin Huber, Elvira Leontyeva, Anna Solovyeva
| Year of publication: |
2021
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|---|---|
| Authors: | Denisova-Schmidt, Elena ; Huber, Martin ; Leontyeva, Elvira ; Solovyeva, Anna |
| Published in: |
Empirical economics : a quarterly journal of the Institute for Advanced Studies. - Berlin : Springer, ISSN 1435-8921, ZDB-ID 1462176-9. - Vol. 60.2021, 4, p. 1661-1684
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| Subject: | Anti-corruption campaigns | Experiments | Corruption | Academic integrity | University | Students | Russia | Russland | Studierende | Korruption | Anti-Korruption | Anti-corruption | Künstliche Intelligenz | Artificial intelligence | Hochschule | Higher education institution | Experiment |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1007/s00181-020-01827-1 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10012490642