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Results for Topics : "Population"


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Intergenerational support and labour participation among older people in Malaysia
Item Type: Book Section
Author: 
Pazim, Khairul Hanim and
Mahmud, Roslinah and
Fabeil, Noor Fzlinda and
Langgat, Juliana and
Mahmud, Adzmel and
Author: 
Editor: 
Kadir@Shahar, Hayati and
Mohammad Sallehudin, Hakimah and
Ahmad, Siti Anom and
Ibrahim, Rahimah and
Hamid, Tengku Aizan and
Foong, Hui Foh and
Mohd Radzol, Afaf Rozan and
Chai, Sen Tyng and
Year:  00/12/2022
Abstract:  Most older people receive significant assistance from their adult children. Some rely solely on their retirement savings, while others continue to work to support themselves in old age. This study examines the role that adult children play in shaping their parents’ decisions to participate in the labour market. When compared to older people who never received any help from their adult children, the results showed that older people who received assistance more often were less likely to work. This suggests that older individuals’ reduced incentive to work in the labour market is a result of their greater reliance on family support.
 
 
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Prediction of Malaysian women divorce using machine learning techniques
Item Type: Article
Author: 
Aimran, Nazim and
Rambli, Adzhar and
Afthanorhan, Asyraf and
Mahmud, Adzmel and
Sapri, Azlin and
Azman, Airena Aireen and
Author: 
Editor: 
Year:  01/10/2022
Abstract:  This paper discusses the performance of three machine learning techniques namely Decision Tree, Logistic Regression and Artificial Neural Network for predicting divorce among Malaysian women. Secondary data were obtained from the Fifth Malaysia Population and Family Survey (MPFS-5) conducted by the National Population and Family Development Board (LPPKN). The total number of instances in the dataset was 7,644 ever married Malaysian women aged 15 to 59 years old. Divorce is currently a serious problem among the Malaysian community due to various reasons. In 2019, the divorce rate in Malaysia rose by 12% from the previous year. During the first three months of the movement Control Order (MCO), i.e. from March 18 to June 18, 2020, the Syariah Court of Malaysia recorded 6,569 divorce cases. Worse, a total of 90,766 divorce cases were recorded from January to October 2020. Among the six predictive methods, The Decision Tree Model (C5.0) was found to be the best model in classifying divorce among Malaysian women. The accuracy of the C5.0 model was 77.96% followed by the Artificial Neural Network (Multi-Layer Perceptron) and Logistic Regression (Forward Stepwise) model (74.68% and 67.89%, respectively). The order of important predictors in predicting divorce among Malaysian women is the wives’ employment status (0.1531) followed by the husbands’ employment status (0.1396), type of marriage (0.1327), race/ethnicity (0.1327), distant relationship (0.1212). the wives’ qualification level (0.1115), age group (0.1053) and religion (0.0998)
 
 
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