Replication data for: Default Tips
- Haggag, Kareem
- Paci, Giovanni
AbstractWe examine the role of defaults in high-frequency, small-scale choices using unique data on over 13 million New York City taxi rides. Using a regression discontinuity design, we show that default tip suggestions have a large impact on tip amounts. These results are supported by a secondary analysis that uses the quasi-random assignment of customers to different cars to examine default effects on a wider range of fares. Finally, we highlight a potential cost of setting defaults too high, as a higher proportion of customers opt to leave no credit card tip when presented with the higher suggested amounts.
Is supplement to
DOI: 10.1257/app.6.3.1 (Text)
Haggag, Kareem, and Giovanni Paci. “Default Tips.” American Economic Journal: Applied Economics 6, no. 3 (July 2014): 1–19. https://doi.org/10.1257/app.6.3.1.
- ID: 10.1257/app.6.3.1 (DOI)
Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12