small area estimation of labor force indicators using the multinomial logit mixed model

Small area estimation methods have been considered in various fields, especially medicine, agriculture, economics, social sciences, and political science. these methods have many applications in providing reliable statistics for small-sample or non-sample statistical areas. in estimating the small area, there are two approaches: the basic design and the basic model. in this paper, a model-based approach to labor force indicators is considered using a multinomial mixed logit model. the practical application of the method proposed in this article is to estimate the total number of employees, unemployed and unemployment rate using household income and expenditure data for semnan province by cities; semnan, shahroud, damghan and garmsar concerning the period 2011-2016. finally, we have found the estimates of unemployment rate for garmsar (9.14), semnan (9.84), damghan (11.29), and shahroud (12.40) in 2016. the more distance from tehran (the iranian capital), the more is the unemployment rate!