Table 12 Results from logit regression analysis (dependent variable: IsPayer)
From: Network effects in two-sided markets: why a 50/50 user split is not necessarily revenue optimal
Independent variables | Dependent variable: IsPayer | ||
|---|---|---|---|
Model 1 | Model 2 | Model 3 | |
User split | |||
ShareOfWomen | 168.1591*** | 198.7777*** | 219.8497*** |
ShareOfWomenSquared | −232.8991*** | −285.3661*** | −317.5482*** |
Time parameters | |||
PlatformLifetime | 0.0007249*** | 0.0008232*** | |
UserLifetime | −0.000601*** | −0.0006021*** | |
Update1 | 0.0038217 | 0.0220544 | |
Update2 | 0.0106529 | −0.0783018** | |
Update3 | −0.0309305 | 0.0075203 | |
Update4 | −0.1802073*** | −0.1577811*** | |
Update5 | −0.0754961** | −0.1610922*** | |
Update6 | 0.1274491*** | 0.0378605 | |
Update7 | −0.1883186*** | −0.1205443*** | |
Update8 | 0.1423438** | 0.1926842*** | |
Update9 | 0.1261103** | 0.1554679*** | |
Update10 | 0.0661558 | 0.0442279 | |
Seasonal parameters | |||
TVevent1 | 0.2236641*** | ||
TVevent2 | −6.59e-06 | ||
Winter | 0.0374548* | ||
Spring | 0.1818007*** | ||
Summer | 0.0576748*** | ||
Constant | −33.53169*** | −40.6881*** | −44.57342*** |
Number of observations | 1005,275 | 1005,275 | 1005,275 |
Pseudo R 2 | 0.0021 | 0.0172 | 0.0175 |
Optimum (highest share of payers dep. on share of women) | 36.1 % | 34.8 % | 34.6 % |