Decision to work by educated married women
The withdrawal of women from the labor market after marriage or after child birth and burdensome housework are cited as the main reasons for lower participation rates among married women in the labor market. Those who leave the labor market are surprisingly women with tertiary level or well educated...
Published in: | Advanced Science Letters |
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American Scientific Publishers
2017
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Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032217961&doi=10.1166%2fasl.2017.9557&partnerID=40&md5=81d3437b7299753e9861d455215e7b27 |
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2-s2.0-85032217961 Amin S.M.; Rameli M.F.P.; Othman A.; Hasan Z.A.; Ibrahim K. Decision to work by educated married women 2017 Advanced Science Letters 23 8 10.1166/asl.2017.9557 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032217961&doi=10.1166%2fasl.2017.9557&partnerID=40&md5=81d3437b7299753e9861d455215e7b27 The withdrawal of women from the labor market after marriage or after child birth and burdensome housework are cited as the main reasons for lower participation rates among married women in the labor market. Those who leave the labor market are surprisingly women with tertiary level or well educated. However, as stated by previous research, factors affecting the participation rates for married and educated women, were varied and complex, whereas a single variable usually would not make a significant impact upon women’s decision to work. Based on information collected from 593 women via an online survey, this paper aims to identify the factors affecting the decision of educated and married women to work. The Binary Logistic Regression analysis revealed that participation of educated and married women in the labor market were affected by ethnics, age, level of education, non-labor income, residential location, having children, and husband’s education background. Besides that, this study also describes the two variables that are, access to the internet and non-labor income which have showed different results from the previous studies. © 2017 American Scientific Publishers. All rights reserved. American Scientific Publishers 19366612 English Article |
author |
Amin S.M.; Rameli M.F.P.; Othman A.; Hasan Z.A.; Ibrahim K. |
spellingShingle |
Amin S.M.; Rameli M.F.P.; Othman A.; Hasan Z.A.; Ibrahim K. Decision to work by educated married women |
author_facet |
Amin S.M.; Rameli M.F.P.; Othman A.; Hasan Z.A.; Ibrahim K. |
author_sort |
Amin S.M.; Rameli M.F.P.; Othman A.; Hasan Z.A.; Ibrahim K. |
title |
Decision to work by educated married women |
title_short |
Decision to work by educated married women |
title_full |
Decision to work by educated married women |
title_fullStr |
Decision to work by educated married women |
title_full_unstemmed |
Decision to work by educated married women |
title_sort |
Decision to work by educated married women |
publishDate |
2017 |
container_title |
Advanced Science Letters |
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23 |
container_issue |
8 |
doi_str_mv |
10.1166/asl.2017.9557 |
url |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85032217961&doi=10.1166%2fasl.2017.9557&partnerID=40&md5=81d3437b7299753e9861d455215e7b27 |
description |
The withdrawal of women from the labor market after marriage or after child birth and burdensome housework are cited as the main reasons for lower participation rates among married women in the labor market. Those who leave the labor market are surprisingly women with tertiary level or well educated. However, as stated by previous research, factors affecting the participation rates for married and educated women, were varied and complex, whereas a single variable usually would not make a significant impact upon women’s decision to work. Based on information collected from 593 women via an online survey, this paper aims to identify the factors affecting the decision of educated and married women to work. The Binary Logistic Regression analysis revealed that participation of educated and married women in the labor market were affected by ethnics, age, level of education, non-labor income, residential location, having children, and husband’s education background. Besides that, this study also describes the two variables that are, access to the internet and non-labor income which have showed different results from the previous studies. © 2017 American Scientific Publishers. All rights reserved. |
publisher |
American Scientific Publishers |
issn |
19366612 |
language |
English |
format |
Article |
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record_format |
scopus |
collection |
Scopus |
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1809677908539604992 |