The Participation of Married Women in Iranian Labor Market: Logit non-linear modeling

Subject Areas : Labor and Demographic Economics

Z. Sarani ¹ , B. Keshte gar ² , Gh. Keshavarz hadad ³

1 - دکتری اقتصاد
2 - استادیار اقتصاد دانشگاه زابل
3 - دانشیار دانشگاه صنعتی شریف

Received: 2014-06-19 Accepted : 2014-08-27 Published : 2015-02-01

Keywords: J21, J16, C14,

Abstract :

Abstract In the present paper, logit non-linear massive model is presented by using the maximum likelihood method for binary model of Iranian female labor participation based on income-expenditure data of the households in 2006. In logit non-linear model, a continuous mathematical function like power, exponential, polynomial and logarithmic are used for independent variables such as husband income, education, woman age, wealth and the number of children above and under 6 years old. Non-linear equation of married women participation based on econometric comparison standards like White Test and Lagrange coefficient statistics is compared with parametric and non-parametric Logit models. The results of modeling represent that the selection of an appropriate mathematical function can provide a suitable flexibility in binary modeling and so increase the ability and decrease the errors of the modeling compared to parametric and non-parametric logit models. Also, this kind of modeling approach has a variance homogeneity as well as non-parametric model, but here there is less error in modeling.

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