Fitting the Age Pattern of Internal Migration in Iran with Multi-Exponential Model

Age patterns are a key scale for comparing internal or external migration between countries or over time. The observed migration rates show strong regularities in age patterns. These regularities can be showed by mathematical functions known as multi-dimensional migration models. Multi-exponential models are a way of smoothing age patterns, correcting missing data, and comparing migration age patterns. There are migration questions in the censuses in Iran and it has gained considerable understanding into the patterns of migration and the volume of population movements in the country.  But these data are age-related error, and the appropriate age pattern for immigrants cannot be plotted. The present paper studies the age and sex patterns of migration in the country using multivariate modeling system designed by Rogers and Castro (1981). The results showed that the 7-parameter model was in accordance with the age pattern of internal migration of Iran and the age pattern of internal migration is similar to the standard model. Finally, the estimated pattern of migration by single ages and sex for researchers is presented.