Descriptive Statistics
| Panel A: Time‐Varying Worker Characteristics | ||||||
|---|---|---|---|---|---|---|
| Sample | ||||||
| Full Sample | At the Time of Microcredential Award | Workers Without Any Microcredentials | ||||
| (1) | (2) | (3) | ||||
| Mean (SD) | Median | Mean (SD) | Median | Mean (SD) | Median | |
| Number of microcredentials | 2.18 | 0 | 3.18 | 2 | 0 | 0 |
| (3.81) | (4.33) | (0) | ||||
| Number of completed projects | 42.44 | 19 | 5.08 | 0 | 17.97 | 2 |
| (64.79) | (18.03) | (49.58) | ||||
| Dollars earned | 11,193.82 | 3,165.9 | 2,272.35 | 0 | 5,449.62 | 195 |
| (22,862.06) | (10,244.44) | (15,803.23) | ||||
| Months active | 22.86 | 17.8 | 19.7 | 9.96 | 13.69 | 3.7 |
| (20.29) | (21.75) | (19.15) | ||||
| Freelancer rating | 3.02 | 3.43 | 2.57 | 3.06 | 3.31 | 3.59 |
| (1.66) | (2.07) | (1.45) | ||||
| Average project value | 403.59 | 146.04 | 673.23 | 157.98 | 601.28 | 168.7 |
| (1,335.32) | (2,386.92) | (2,459.63) | ||||
| Panel B: Time‐Invariant Background Characteristics | ||||||
| Share | Share | Share | ||||
| Male | 70% | 70% | 68% | |||
| College degree or more | 74% | 72% | 58% | |||
| Top‐5 countries | ||||||
| India | 27% | India | 24% | India | 22% | |
| Bangladesh | 12% | Bangladesh | 12% | United States | 15% | |
| Philippines | 11% | Philippines | 9% | Ukraine | 7% | |
| Pakistan | 10% | United States | 8% | Philippines | 6% | |
| United States | 7% | Pakistan | 7% | Pakistan | 6% | |
| Panel C: Sample Sizes | ||||||
| Share with at least 1 project won | 45% | 32% | 19% | |||
| Number of projects | 442,203 | 233,791 | 20,827 | |||
| Number of workers | 46,791 | 33,091 | 13,700 | |||
Notes: Column 1 presents the descriptive statistics for the full sample, Column 2 presents the descriptive statistics at the time of microcredential completion for the subsample of workers who take tests, and Column 3 presents the descriptive statistics for workers who have not completed any tests. In Columns 1 and 3, worker characteristics are measured at time of project start, and one observation corresponds to a project completed by a worker. In Column 2, time‐varying characteristics are measured at time of microcredential completion. In Panel B, worker home countries are self‐reported and verified by the platform. Education is reported by workers themselves. Worker gender is inferred by workers’ self‐reported first name using the Python library SexMachine (https://github.com/ferhatelmas/sexmachine/, accessed January 30, 2024).