International Journal of Nonlinear Analysis and Applications

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

Document Type : Research Paper

Authors

Department of Statistics, Faculty of Mathematical Science, Shahid Beheshti University, Tehran, Iran

Abstract

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!

Keywords

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International Journal of Nonlinear Analysis and Applications
Volume 15, Issue 1
January 2024
Pages 191-198
  • Receive Date: 03 November 2022
  • Revise Date: 19 December 2022
  • Accept Date: 09 January 2023