Impact of household factors on youth's school decisions in Thailand |
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| Institution: | 1. Physics and Applied Mathematics Unit, Indian Statistical Institute, 203 B.T. Road, Kolkata 700 108, India;2. Centre for Theoretical Physics, Jamia Millia Islamia, Jamia Nagar, New Delhi 110025, India;1. Orange Labs, 2 Avenue Pierre Marzin, 22300 Lannion, France;2. Huawei Technologies Co., Ltd., Bantian, Longgang District, Shenzhen 518129, PR China;1. Institute of Population Research, Peking University, Beijing, China;2. Johns Hopkins University, Bloomberg School of Public Health, Baltimore, MD;3. Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA;4. World Health Organization Collaborating Center on Reproductive Health and Population Science, Beijing, China |
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| Abstract: | This paper uses Fairlie's techniques to estimate differences in school enrollment between municipal and non-municipal area, we found that group differences in all explanatory variables explain approximately 70% of the gap. Education level of household head is the largest significant factor accounting for a gap in males’ school enrollment whereas the largest factor explaining the municipal/non-municipal gap in school enrollment rate of female 15–17 of age is income.Based on empirical results, some educational policies are suggested to increase school enrollment of Thai youths. Demand-side financing policies such as target vouchers should be used to the chance of schooling especially for those facing financial difficulty. Non-formal education and distance learning could be used to provide alternative and more appropriate way of learning for married youths. Establishment of child care center in a community can reduce workload of youths in taking care of young family members and allow them to participate in school activity. |
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| Keywords: | Youth employment Schooling decision I21 |
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