Table 11 Results from OLS regression
From: Network effects in two-sided markets: why a 50/50 user split is not necessarily revenue optimal
Independent variables | Dependent variable: DailyRevenuePerUser | ||
|---|---|---|---|
Model 1 | Model 2 | Final model 3 | |
User split | |||
ShareOfWomen | 334.2746*** | 312.4332*** | 346.8351*** |
ShareOfWomenSquared | −468.437*** | −428.2298*** | −479.6163*** |
Platform parameters | |||
PlatformLifetime | 0.00136*** | 0.00159*** | |
Update1 | 0.06716 | 0.29307*** | |
Update2 | 0.13269* | −0.27801*** | |
Update3 | −0.25703*** | −0.17709** | |
Update4 | −0.36184*** | −0.14882 | |
Update5 | −0.5221*** | −0.70081*** | |
Update6 | 0.29947*** | −0.05956 | |
Update7 | −0.68634*** | −0.53678*** | |
Update8 | 0.33535** | 0.40668** | |
Update9 | 0.53921*** | 0.69158*** | |
Update10 | 0.21367 | 0.36379* | |
Seasonal parameters | |||
TVevent1 | 0.38896* | ||
TVevent2 | −0.07567 | ||
Winter | −0.08448 | ||
Spring | 0.49053*** | ||
Summer | 0.24884*** | ||
Constant | −56.39442*** | −58.46802*** | −65.29321*** |
F | 162.70 | 347.90 | 258.91 |
Number of observations | 1005,275 | 1005,275 | 1005,275 |
R 2 | 0.0002 | 0.0034 | 0.0035 |
Optimum (highest revenue dep. on share of women) | 35.7 % | 36.5 % | 36.2 % |