Gelbach Decomposition of the Female-Male Paid Fare Gap
| Specification | Explained | |||
|---|---|---|---|---|
| Base (1) | Full (2) | Amount (3) | Percent (4) | |
| Female–male paid fare gap | −103.966 | −4.460 | −99.506 | 95.7% |
| Covariates: | ||||
| Trip and employer characteristics (40,073) | No | Yes | −75.519 | 72.6% |
| Employee characteristics (14) | No | Yes | −5.985 | 5.76% |
| Days booked in advance FE (26) | No | Yes | −18.003 | 17.3% |
Notes: Dependent variable for the specifications is the paid fare, which is measured in U.S. dollars. The coefficient for the female–male paid fare gap in Columns 1 and 2 correspond, respectively, to the coefficients in Table 4A, Columns 1 and 5. Both specifications use the same 7,426,390 observations and are OLS regressions. Column 3 displays the conditional decomposition of the female–male paid fare gap into three components: trip and employer characteristics, employee characteristics, and days booked in advance fixed effects (FE), following Gelbach (2016). “Trip characteristics” include the following variables: Origin–destination route × ticket class fixed effects, direct flight, length of stay dummy variables, and week fixed effects. “Employer characteristics” include the following variables: division × firm fixed effects and country fixed effects. “Employee characteristics” include the following variables: age dummy variables, number of trips per traveler dummy variables, and employee type fixed effects. The number of fixed effects associated with each set of controls is shown inside the parentheses next to each label in the first column. See Appendix 1 for the definitions of the variables and fixed effects. All coefficients in the table have p-values of p < 0.001.