Table 10

Female–Male Probability Gap for Booking Two Weeks or More in Advance: Female Interactions with Preference Data

Linear Probability Model for Booking Two Weeks or More in Advance
(1)(2)(3)(4)(5)(6)(7)
Female0.053***
(0.003)		0.055***
(0.004)		0.038***
(0.009)		0.044***
(0.007)		0.045***
(0.004)		0.041***
(0.004)		0.038***
(0.004)
Female ×
  Patience0.028
(0.028)
  Risk-taking−0.047
(0.027)
  Altruism0.042
(0.044)
  Positive reciprocity0.072**
(0.021)
  Negative reciprocity−0.040*
(0.017)
  Trust0.049***
(0.007)
Trip characteristics (16,122)YesYesYesYesYesYesYes
Employer characteristics (20,825)YesYesYesYesYesYesYes
Employee characteristics (14)YesYesYesYesYesYesYes
Total number of FE included36,96136,96136,96136,96136,96136,96136,961
Adjusted R20.1890.1890.1890.1890.1890.1890.189
Number of observations7,011,2597,011,2597,011,2597,011,2597,011,2597,011,2597,011,259

  • ↵Notes: The table displays the estimates of a linear probability model. The dependent variable is a dummy variable equal to one if the traveler booked the flight two weeks or more in advance (that is if the trip was booked 14 days or more prior to the day of departure), and zero otherwise. The table displays female interactions using Specification 4 from Table 4C. “Trip characteristics” include the following variables: origin–destination route × ticket class fixed effects, direct flight, length of stay dummy variables, and week fixed effects (FE). “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 value in parentheses in the initial column, next to the labels, is the number of fixed effects included in each line. The total number of fixed effects reports the number of fixed effects included in each column/specification. See Appendix 1 for the definitions of the variables and fixed effects. See Table 3 for a summary of the survey items for each preference. All regressions are OLS regressions. Robust standard errors clustered at the country level are in parentheses. Significance: *p ≤ 0.05, **p ≤ 0.01, ***p ≤ 0.001.