This paper assumes that policy mix needs to be differentiated depending on where a country stands in three stages of mobile broadband diffusion. By comparing the outcomes of a pooled panel data model with those of a fixed effect panel data model, this paper shows that the fixed effect model is better than the pooled model in explaining the effects of factors on mobile broadband adoption and that countries at different stages of mobile broadband diffusion have indeed different characteristics requiring different policy priorities for improving mobile broadband adoption. Further, by interacting policy variables with diffusion level dummies, this research also identifies differential slope effects of government policies on broadband adoption. This paper finds out that government effectiveness, software piracy control, GNI per capita, and computer availability are significant factors enabling low diffusion level countries to jump over the chasm to medium level diffusion stages. It is also found that download speed, applications in the first language, and mobile broadband promotion are effective policy variables allowing countries in medium level diffusion stages to climb up the ladder and reach high diffusion stages.