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to those whose mothers who do not own any asset. Children of mothers who own assets are significantly less likely
               to be stunted. Regression models using nutritional indicators also help to bolster the hypothesis that women’s
               ownership of assets benefit children’s long term nutritional status. The analysis furthers the hypothesis that women’s
               asset ownership impacts the long-term health of those children who are already relatively healthy.



               916 Do they Help? Participation of Women in an Informal Sector of Odisha, India

               Barsa Priyadarsinee Sahoo

               Jawaharlal Nehru University, New Delhi, India

               Categories


               11. Population and Economy: Demographic Dividend, Labor Market and Population Policies


               Abstract

               The participation of women in the labour force varies considerably across developing countries. In the case of India,
               the spread of microcredit has speculated increased participation of female employment. However, the International
               Labour Organisation (ILO) noticed the decreasing engagement of women in the Indian labour force.  One of the
               reasons  may be that  a  significant proportion of  rural  women are  engaged in the  informal  sector especially as
               marginal and subsidiary labour. Most of the times the female labour is differentiated by gender and the work of
               men is accorded greater value in comparison to women. The present paper studies the level of participation of
               women in the brass and bell metal industry in Odisha, India and analyses the effect of their participation on the
               development of the industry. The paper found that the work of female labour in brass and bell metal industry is
               devalued and considered more as help in the family work and less as labour. The study also revealed that as the
               brass and bell metal industry needs much physical labour and is regarded as a male-oriented industry hence the
               participation of women is considered negligible in this sector.


               347 Projecting the Labor Participation Rate in Iran Using the Neural Network for the
               Period 2018-2028


               Nasibeh Esmaeili, Hossein Mahmoudian
               University of Tehran, Tehran, Iran, Islamic Republic of


               Categories

               11. Population and Economy: Demographic Dividend, Labor Market and Population Policies


               Abstract


               Human labor force is believed to be one of the main factors contributing to economic growth and development
               and can be examined from two different aspects of supply and demand in the labor market. Due to the importance
               of labor force supply and the participation rate of the active population in Iran, the present study predicted active
               population participation rates in Iran during 2018-2028. The data used in this study came from ILO statistics on
               labor participation. The data which are based on robust neural network are available from 1995-2017. The ten-year
               forecast was performed by MATLAB software. The results show that the participation rate of the Iranian active

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