Table 15

Robustness check: controlling for the year of establishment (cohort) of equity agreements

Time intervals−4 to 0−4 to 1−4 to 2−4 to 3−4 to 4
Panel A – Dependent variable: G_Trends
Post*Bank_Equity0.363***0.542***0.599***0.558***0.577***
(0.131)(0.156)(0.189)(0.184)(0.185)
Post*Age−0.100**−0.103*−0.144**−0.150**−0.154**
(0.048)(0.060)(0.069)(0.067)(0.066)
Post*Cohort_Equity_AgrYesYesYesYesYes
Firm fixed effectsYesYesYesYesYes
Year fixed effectsYesYesYesYesYes
N° observations257326378416442
R20.0740.1060.1160.1080.107
F-stat1.3112.737***3.677***3.864***4.118***
Panel B – Dependent variable: G_Trends_Growth
Post*Bank_Equity0.114**0.221**0.331**0.379**0.473***
(0.049)(0.088)(0.139)(0.172)(0.180)
Post*Age−0.019−0.026−0.048−0.062−0.082
(0.013)(0.021)(0.032)(0.040)(0.053)
Post*Cohort_Equity_AgrYesYesYesYesYes
Firm fixed effectsYesYesYesYesYes
Year fixed effectsYesYesYesYesYes
N° observations257326378416442
R20.0830.0970.0720.0580.035
F-stat1.4762.463***2.175**1.952**1.250

Note(s): Robustness check controlling for the year of establishment of equity agreements through the interaction Post*Cohort_Equity_Agr, where Cohort_Equity_Agr is a factor variable indicating the year of establishment of equity agreements. The coefficient of the interaction Post*Bank_Equity3) measures the effect of equity agreements with banks on the website traffic of treated FinTech firms compared to control units and can only be estimated when considering also post-treatment periods. All the specifications include firm fixed effects, time fixed effects and the interaction Post*Age. The columns show the results of separate panel regressions for each time interval, with the dummy Post equal to 1 in the years when we want to evaluate the effect of strategic alliances with banks and 0 in pre-treatment period (−4 to −1). Standard errors are clustered at firm level. Significance levels: *, **, *** for 10%, 5% and 1%, respectively

Source(s): Table was created by the authors

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