Table 21

Robustness check: Model 1 implementing N_Social as an alternative measure of information prosociality

Dependent variable: Google_PageRank
(1)(2)(3)(4)(5)
Equity_Agr1.516****1.236***  1.096**
(0.43)(0.442)  (0.439)
Partner_Agr  1.054***0.829**0.646*
  (0.382)(0.387)(0.383)
Blog 0.878** 1.105**0.964**
 (0.433) (0.424)(0.439)
N_Social 0.473*** 0.41***0.442***
 (0.131) (0.123)(0.133)
Customer: business −0.641 −0.635−0.65
 (0.421) (0.429)(0.423)
Customer: consumer −0.343 −0.236−0.301
 (0.551) (0.588)(0.55)
Product: diversified 0.965 0.9720.864
 (0.828) (0.9)(0.763)
Product: financing −0.000 −0.313−0.099
 (0.566) (0.606)(0.574)
Product: insurance 0.695 0.4560.649
 (0.672) (0.771)(0.684)
Product: investments −0.214 −0.483−0.265
 (0.617) (0.6)(0.615)
Age 0.091 0.1180.093
 (0.071) (0.076)(0.068)
N° observations124124124124124
LR test14.018***59.008***8.467***55.478***61.757***
Cox and Snell’s R20.1070.3790.0660.3610.392
Nagelkerke’s R20.1120.3960.0690.3780.411
AIC387.289360.299392.84363.829359.55
Residual deviance371.289326.299376.84329.829323.55
Brant test (p-value)0.240.730.990.830.43

Note(s): Ordinal logistic regressions for the dependent variable Google_PageRank. Log odds ratios are displayed. Standard errors are clustered at firm level. For the definition of all variables see Table 1. Significance levels: *, **, *** for 10%, 5% and 1%, respectively

Source(s): Table was created by the authors

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