New Advances in Experimental Research on Corruption

Unknown author

Research in Experimental Economics2012https://doi.org/10.1108/s0193-2306(2012)0000015013other
ABDC B
Weight
0.70

What the paper says

This volume provides a comprehensive review of the empirical evidence on corruption generated by recent laboratory and field experiments conducted by economists and political scientists. The first part of the volume reviews the evidence produced by laboratory experiments in relation to gender and cultural differences in corruption decision-making, as well as the effectiveness of different anti-corruption policies. This part concludes with an assessment of the external validity of corruption investigations relying on laboratory experiments. The second part of the volume reviews recent contributions to corruption research made through the use of field experiments. Special attention is given to advances in measuring corruption in the field, investigations of clientelism and vote-buying, and the role that information can play in the fight against corruption. A critical assessment of the effectiveness of top-down and bottom-up anti-corruption interventions completes this section. The volume concludes with important reflections on the role that behavioral and experimental economics can play in anti-corruption research and practice.

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https://doi.org/https://doi.org/10.1108/s0193-2306(2012)0000015013

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@article{unknown2012,
  title        = {{New Advances in Experimental Research on Corruption}},
  author       = {Unknown author},
  journal      = {Research in Experimental Economics},
  year         = {2012},
  doi          = {https://doi.org/https://doi.org/10.1108/s0193-2306(2012)0000015013},
}

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Evidence weight

0.70

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.94 × 0.4 = 0.38
M · momentum0.68 × 0.15 = 0.10
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.