I have count data - time-activity data (dependant variable) and categorical data e.g. gender, education, employment and others (Independant variables). I have applied poisson and NBR and get similar results in terms of coefficients, and p-values. There's a slight improvement in standard errors with NBR.
Applying NBR does not however eliminate the problem of underdispserion in the data. How does one address underdispersion and what is the cut off point from 1 to say there's underdisprsion/overdispersion
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