Table 3

Post-hoc analysis: main effect between key influencers and invisible users

VariablesNumber of subtracted followers ≤25th percentileNumber of subtracted followers ≥75th percentile
Hazard ratio (SE)p-valueHazard ratio (SE)p-value
Gender0.35(0.52)0.4810.33(0.16)0.019*
Social unrest27.73(211.75)0.6641.02(0.61)0.969
SEZ0.00(230.23)1.0001.82(1.46)0.456
Coastal_open_city0.00(0.00)1.0001.90(0.96)0.204
GDP Growth Rate1.01(0.37)0.9761.04(0.11)0.709
Num_unemployed1.00(0.00)0.047*1.00(0.00)0.676
Num_hosp1.00(0.01)0.6481.00(0.00)0.016*
Num_bus1.00(0.00)0.3821.00(0.00)0.690
Constant0.00(0.00)0.011*0.00(0.00)0.000***
Clustered by Province IDsYes Yes 
Year dummiesIncluded Included 
Log likelihood−8.51 −55.47 
Wald Chi-square20.40 71.41 
N125 137 

Note(s): The hazard rate of engaging in the very first live-streaming activity is the dependent variable. We report odds ratios, standard errors (SE), and p values. Odds ratios are interpreted as the proportional change in hazard rate from a one-unit increase in the predictor of interest. The value of one indicates no change. The values less than one suggest that increases in predictors of interest decrease the hazard rate, and those greater than one denote that increases in predictors of interest increase the hazard rate

*p < 0.05, **p < 0.01, ***p < 0.001

Source(s): Table by authors

or Create an Account

Close Modal
Close Modal