جستجوی مقالات مرتبط با کلیدواژه "age pattern" در نشریات گروه "علوم اجتماعی"

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.

This study aims at investigating women’s employment trends in Iran between 1335 and 1385. Results show that in spite of some changes in women’s participation in labor force, the employment rate is still very low. Another feature of women’s participation in labor force is transformations in age patterns of employment so that in three last decades women’s participation in labor force has decreased in all age groups. Except 2006, a great number of employed women did not return to work after marriage and childbearing. Using decomposition method for crude activity rate of women, we conclude that most of changes in crude activity rate are due to changing in age specific activity rates and age composition has low effects. Along with macro level factors such as social and economic problems, other factors like fertility decline, rise of life expenditure and higher education had great impact on women’s employment rates.