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Replication data for: Default Tips

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DOI
https://doi.org/10.3886/E113897V1
Version
1
Resource Type
Dataset
Creator
  • Haggag, Kareem
  • Paci, Giovanni
Publication Date
2013-12-30
Description

  • Abstract

    We 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.
Availability
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Relations
  • Is supplemented by
    DOI: 10.1257/app.6.3.1 (Text)
Publications
  • 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: 2019-10-12 | Issue Number: 1 | Registration Date: 2019-10-12

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Haggag, Kareem; Paci, Giovanni (2013): Replication data for: Default Tips. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113897V1