Effect of Economic and Demographic Factors on Educational Mismatch Probability of Sectoral Workers

Yunisvita Yunisvita, Muhammad Teguh, Deassy Apriani, Imelda Imelda
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Abstract

This paper analyzes effect of economic and demographic factors on probability of overeducated workers in Southern Sumatra. Research using binary logistic regression model to estimate probability of overeducation workers. The data used came from the National Labor Force Survey (SAKERNAS) 2018. Unit of analysis is the workers in Southern Sumatra, including South Sumatra Province, Jambi, Bengkulu, Lampung and Bangka Belitung. Sample consisted of 13 683 workers. Estimation results show that income, sector or business field, age and area of residence affect  probability of workers being overeducated. Income is the most dominant factor determining  probability by providing a positive effect, but vice versa with  age factor. Changes in  area of residence from rural to urban areas give greater possibility of overeducation but this is not the case if there is a change in  employment sector from primary to non-primary.The phenomenon of overeducation implies that workers can more easily adapt and understand their work so that productivity is more easily increased.The possibility of over-education mismatch in the regional labor market in South Sumatra is very unique because although the absorption of workers is still dominated by the primary sector, when there is a change of work to the primary sector, the possibility of overeducation actually decreases.
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经济和人口因素对行业工人教育错配概率的影响
本文分析了经济和人口因素对苏门答腊南部工人受教育程度过高概率的影响。二元逻辑回归模型用于估计工人受教育程度过高的概率的研究。使用的数据来自2018年全国劳动力调查。分析单位为南苏门答腊省的工人,包括南苏门答腊省、占碑、明古鲁、楠榜和邦加-贝利东。样本包括13683名工人。估计结果表明,收入、行业或商业领域、年龄和居住地区会影响工人受过度教育的概率。收入是通过提供积极影响来决定概率的最主要因素,但年龄因素则相反。从农村到城市的居住面积变化会增加受教育过度的可能性,但如果就业部门从小学到非小学发生变化,情况并非如此。受教育过度现象意味着工人更容易适应和理解自己的工作,从而更容易提高生产力。在南苏门答腊地区劳动力市场中,过度教育不匹配的可能性是非常独特的,因为尽管工人的吸收仍然由初级部门主导,但当工作转向初级部门时,过度教育的可能性实际上会降低。
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7 weeks
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