Married Women Employment: Multinomial Logistic Regression Analysis of Marital Status, Education Level, and Age on Women Career

Abstract

Abstract. The high number of married women compared to those who are not is an important issue especially when related to the availability of manpower. The balanced composition of the population between men and women makes married women manpower occupy an important position in contributing to state income. Therefore, this study analyzes married women employment associated with the main variables, namely occupational category, education, age, and marital status. Moreover, we highlight the high number of married women choosing to become homemakers. Using survey data from WVS, this study presents crosstab analysis and multinominal logistic regression to estimate the likelihood of respondents in choosing a job category. The results showed that there was a pattern of relationship between women's job choices, especially those who were married, with education level and age category. Women with low and middle education levels tend to have the same pattern with high homemaker numbers, while those at higher education levels indicate a low homemaker number accompanied by an increase in job choices in the professional field. In addition, the older high educated married women are, the higher the percentage of working as professionals/higher administrative. From the results of the p-value calculation, higher education levels can support women's careers and reduce homemakers, especially in 2 types of work, namely professional/higher administrative and clerical. On the other hand, changes in women's career interests are seen at the age of 34 to 54 years compared to 18-24 years. The older married women are more interested in working in the sales/service and farmer fields rather than being a homemaker. Finally, the results of this study recommend to interested parties to provide the broadest possible opportunities for women in obtaining higher education. Thus, the participation rate of women can increase and support the country's economic growth.