LINEAR DISCRIMINATORY FUNCTION APPROACH TO EMPLOYMENT SEX RATIO VARIATION: EVIDENCE FROM ASIA

Jayadevan Cm
2016 Journal Of Harmonized Research   unpublished
Employment patterns of men and women have changed over the last 25 years. Significantly, the proportion of women who were employed has increased over the period. Changing social attitudes and smaller families have contributed to these changes in women's employment. Greater proportions of women now have higher education qualifications. Education appears to draw women into the workforce by instilling in them more career oriented attitudes and by enhancing their potential wages in the labour
more » ... in the labour market. Paid work may also provide women with opportunities for social interaction and job satisfaction (ABS, 2006). The main purpose of this paper is to analyze the variation in average overall employment sex ratio among the countries of Asia on the basis of available statistical data for the period 1991-2013. The average overall employment sex ratio have been classified into three categories. The study makes an attempt to find the factors responsible for the variation in average overall employment sex ratio. Higher the value of factors like gross parity index for enrollment, employers sex ratio, %share of females in agriculture, industry and services sectors, gender wage gap and adult literacy, higher the overall employment sex ratio. In other words, factors like gross parity index for enrollment, employers Abstract:-Employment plays an important role in everyone's daily life as it is an instrument for achieving any accomplishments. The main purpose of this paper is to analyze the variation in average employment sex ratio among the countries of Asia on the basis of available statistical data for the period 1991-2013 and shed some light for women's employment management. Using a linear discriminant function analysis technique, the study has shown that significant discriminating factors responsible for the variation in women's employment are gross parity index for secondary enrollment, employer's sex ratio and the percentage of women employed in service sector.
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