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Vocational training in India: determinants of participation and effect on wages

机译:印度的职业培训:参与程度及其对工资的影响的决定因素

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Background India is at the cusp of a population change and is currently undergoing the phase of ‘demographic dividend.’ This has thrown a challenge towards the policymakers to ensure that there are enough employment opportunities for the ever-increasing labour force. One of the areas where improvement is urgently required in India is skill development. This paper attempts to identify the factors, which affect an individual’s participation in vocational training using nationally representative National Sample Survey Office (NSSO) data. Further, we investigate the impact of vocational training on the wages of an individual at overall and sectoral levels. Methods For addressing the first question of factors that are associated with participation in vocational training programmes, we will be applying logit and multi-nominal logit models. The explanatory variables will broadly be social and economic indicators of the individual as well as the individual’s household characteristics. The second issue of identifying the effect formal vocational training on wages will be analysed through a multiple regression model. Results We found that being an urban dweller increases the odds of participating in formal vocational training. Further, being male increases the odds of receiving formal vocational training. We found that having formal training increases the wage by 4.7% in the overall economy as compared to a person without any training. The effect is highest in the primary sector, where the individuals with vocational training had a wage increase of 36.9%. Workers with formal vocational training in the secondary sector had an increase in wages by 17.6%. Conclusions The analysis done in the paper reveals that formal vocational training is associated with higher wages with the effect being the highest in the primary sector. Being male and urban dweller improved the odds of participating in formal vocational training. The model suggests that there exist good economic returns, which are associated with formal vocational training, and hence, it makes sense to invest resources in vocational training.
机译:背景技术印度正处于人口变化的风口浪尖,目前正处于“人口红利”阶段。这对决策者提出了挑战,要确保为不断增长的劳动力提供足够的就业机会。印度迫切需要改进的领域之一是技能开发。本文试图使用具有国家代表性的国家样本调查局(NSSO)数据来确定影响个人参加职业培训的因素。此外,我们研究了职业培训对个人在整体和部门层面上工资的影响。方法为了解决与参加职业培训计划有关的因素的第一个问题,我们将应用logit和多项式logit模型。解释变量将广泛地是个人的社会和经济指标以及个人的家庭特征。将通过多元回归模型分析确定正规职业培训对工资的影响的第二个问题。结果我们发现,成为城市居民会增加参加正式职业培训的几率。此外,男性增加了接受正规职业培训的几率。我们发现,与没有接受任何培训的人相比,接受过正式培训的人在整体经济中的工资增加了4.7%。在基层部门中效果最高,在那里接受过职业培训的人员的工资增长了36.9%。在第二产业接受正规职业培训的工人的工资增长了17.6%。结论本文所做的分析表明,正规职业培训与较高的工资相关,其效果在第一产业中最高。作为男性和城市居民,增加了参加正规职业培训的几率。该模型表明,存在与正规职业培训相关的良好经济回报,因此,将资源投资于职业培训是有意义的。

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