|
View: |
Part 1: Document Description
|
|
Citation |
|
|---|---|
|
Title: |
Replication Data for: Can Norm-Based Information Campaigns Reduce Corruption? |
|
Identification Number: |
doi:10.7910/DVN/RIBWNJ |
|
Distributor: |
Harvard Dataverse |
|
Date of Distribution: |
2024-11-18 |
|
Version: |
1 |
|
Bibliographic Citation: |
Erlich, Aaron; Gans-Morse, Jordan, 2024, "Replication Data for: Can Norm-Based Information Campaigns Reduce Corruption?", https://doi.org/10.7910/DVN/RIBWNJ, Harvard Dataverse, V1 |
|
Citation |
|
|
Title: |
Replication Data for: Can Norm-Based Information Campaigns Reduce Corruption? |
|
Identification Number: |
doi:10.7910/DVN/RIBWNJ |
|
Authoring Entity: |
Erlich, Aaron (McGill University) |
|
Gans-Morse, Jordan (Northwestern University) |
|
|
Producer: |
Gans-Morse, Jordan |
|
Distributor: |
Harvard Dataverse |
|
Access Authority: |
Gans-Morse, Jordan |
|
Depositor: |
Gans-Morse, Jordan |
|
Date of Deposit: |
2024-08-01 |
|
Holdings Information: |
https://doi.org/10.7910/DVN/RIBWNJ |
|
Study Scope |
|
|
Keywords: |
Social Sciences, bribes, corruption, anti-corruption campaigns, Ukraine |
|
Abstract: |
Can norm-based information campaigns reduce corruption? Such campaigns use messaging about how people typically behave (descriptive norms) or ought to behave (injunctive norms). Drawing on survey and lab experiments in Ukraine, we unpack and evaluate the distinct effects of these two types of social norms. Four findings emerge: First, injunctive-norm messaging produces consistent but relatively small and temporary effects. These may serve as moderately effective, low-cost anti-corruption tools but are unlikely to inspire large-scale norm transformations. Second, contrary to recent studies, we find no evidence that either type of norm-based messaging “backfires” by inadvertently encouraging corruption. Third, descriptive-norm messages emphasizing corruption’s decline produce relatively large and long-lasting effects — but only among subjects who find messages credible. Fourth, both types of norm-based messaging have a substantially larger effect on younger citizens. These findings have broader implications for messaging campaigns, especially those targeting social problems that, like corruption, require mitigation of collective action dilemmas. |
|
Notes: |
This dataset underwent an independent verification process, complying with the AJPS Verification Policy updated June 2023, which replicated the tables and figures in the primary article. For the supplementary materials, verification was performed solely for the successful execution of the code. The verification process was carried out by the Cornell Center for Social Sciences at Cornell University. <br></br> The associated article has been awarded the Open Materials Badge. Learn more about the Open Practice Badges from the <a href="https://www.cos.io/">Center for Open Science</a>. <br></br> <img src="https://socialsciences.cornell.edu/sites/default/files/2024-04/materials_large_color.png" alt="Open Materials Badge " width="60" height="60"> <br></br> Open Materials Badge |
|
Methodology and Processing |
|
|
Sources Statement |
|
|
Data Sources: |
Erlich, Aaron; Gans-Morse, Jordan, 2024, "Replication Data for: Can Norm-Based Information Campaigns Reduce Corruption?", https://doi.org/10.7910/DVN/RIBWNJ, Harvard Dataverse. |
|
Data Access |
|
|
Disclaimer: |
The <i>American Journal of Political Science</i> and the Cornell Center for Social Sciences are not responsible for the accuracy or quality of data uploaded within the <i>AJPS</i> Dataverse, for the use of those data, or for interpretations or conclusions based on their use. |
|
Other Study Description Materials |
|
|
Label: |
AC_Info_replication_main_UPDATED.zip |
|
Notes: |
application/zip |