Application of truncated poisson count data model : determinants of fresh fish consumption in Riyadh City, Saudi Arabia

Abstract EN

A zero-truncated poisson regression model was applied to analyze the relation between the dependent variable : monthly frequency of fish consumptionby households in Riyadh city, Saudi Arabia and a set of explanatory variables including individual’s share in household’s monthly expenditure on fish, years of education head of family, age head of family, residence location, nationality, and head of family, attitude toward fish.

maximum likelihood method was used to estimate the parameters of the model.

statistical inference was carried out on a random sample of 100 families sckxtod from Riyadh city, Saudi arabia.

the results showed that: education years, family residence location, nationality, and attitude toward fish are all significant predictors of household’s fish consumption frequency.

moreover, the estimated model has a good overall fit, which makes it useful in production and marketing of fresh fish.