Replication Data for: Does automatic gratuity help or hurt servers? An examination of a casual restaurant’s POS data
Year: 2026
Type: dataset
Abstract: This dataset contains the an anonymized version of raw transaction-level point-of-sale records used to construct the analytic sample for “Does automatic gratuity help or hurt servers? An examination of a casual restaurant’s POS data.” The source data cover three casual-dining restaurant locations in North Carolina from May 1, 2024, through April 30, 2025. The article analyzes transactions from the Steele Creek location between May 14, 2024, and April 30, 2025. Variables include location, transaction date and time, number of guests, check amount, discount amount, tax, voluntary tip, and automatic gratuity. The deposited file contains raw data only; the sample restrictions, data cleaning procedures, and construction of the study variables are described in the article. Cash tips are not observed in the point-of-sale records.
Source: ICPSR Data Holdings
DOI: 10.3886/e251384
Authors: Vrund Gurjar, Toby Qin
Language: English
Subfield: Social Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: green
OpenAlex ID: W7170243791