Table 4 The effect of social capital...

Table 4

The effect of social capital dimensions on the amount raised

	Log_earnings Model 10	Log_earnings Model 11	Log_intensity of the link Model 12	Log_intensity of the link Model 13
FB_friends	0.017 (0.154)	0.013 (0.289)	0.007 (0.624)	0.002 (0.874)
Partner	0.220*** (0.000)	0.207*** (0.000)	0.191*** (0.000)	0.177*** (0.000)
Comments	0.409*** (0.000)	0.386*** (0.000)	0.096*** (0.000)	0.073*** (0.000)
Sector_agrifood	−0.021* (0.089)	−0.100*** (0.000)	0.023* (0.092)	−0.056*** (0.001)
Sector_tech	−0.060*** (0.000)	−0.059*** (0.000)	0.014 (0.312)	0.015 (0.249)
Video	–	0.113*** (0.000)	–	0.120*** (0.000)
Rewards	–	0.055*** (0.000)	–	0.049*** (0.005)
Adjusted R²	0.236	0.251	0.049	0.065
N	5,454	5,454	5,454	5,454

	Log_earnings Model 10	Log_earnings Model 11	Log_intensity of the link Model 12	Log_intensity of the link Model 13
FB_friends	0.017 (0.154)	0.013 (0.289)	0.007 (0.624)	0.002 (0.874)
Partner	0.220*** (0.000)	0.207*** (0.000)	0.191*** (0.000)	0.177*** (0.000)
Comments	0.409*** (0.000)	0.386*** (0.000)	0.096*** (0.000)	0.073*** (0.000)
Sector_agrifood	−0.021* (0.089)	−0.100*** (0.000)	0.023* (0.092)	−0.056*** (0.001)
Sector_tech	−0.060*** (0.000)	−0.059*** (0.000)	0.014 (0.312)	0.015 (0.249)
Video	–	0.113*** (0.000)	–	0.120*** (0.000)
Rewards	–	0.055*** (0.000)	–	0.049*** (0.005)
Adjusted R²	0.236	0.251	0.049	0.065
N	5,454	5,454	5,454	5,454

Note(s): The dependent variables are reported in the first line. P-values are in parentheses with “***”, “**” and “*” representing the 1%, 5% and 10% level of statistical significance. The variance inflation factors (VIFs) associated with each model specification all fall well below the acceptable threshold of 10, indicating multicollinearity is not a concern. Particularly, for all models VIF is always around 1 which guarantees well-specified models. The check for normality of the standardized regression residuals is satisfied for all models, using tests for normality and q-q plots

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