Youth Unemployment in India

印度是青年人口最多的国家之一，长期(青年)失业率居高不下(根据《印度定期劳动力调查，2017-18年年度报告》，目前约为17.8%)。为了深入研究这个问题，我想把我的论文分成三个可能的章节。首先，考虑到经济中创造就业的速度，我想了解技能错配对印度年轻人失业的影响。第二章将分析印度技能发展和创业部的青年技能发展政策“Pradhan Mantri Kaushal Vikas Yojana(PMKVY)”计划。第三章探讨犯罪与青年失业之间的关系。利用印度国家抽样调查、印度人类发展调查和年度工业调查和劳工统计数据，以及国家犯罪档案局的数据，包括就业、失业率、犯罪率、教育等数据，我旨在应用计量经济学模型来研究相关变量之间的关系。该方法将在以前的研究基础上发展，以前的研究使用持续时间模型来研究由于技能提高而退出失业的比率，并使用贝克尔模型来研究犯罪和失业之间的关系。因此，具有社会目标的对一个庞大经济体的重要人力资本资源的研究将旨在通过对以前发表的研究进行详细的探讨，对问题进行全面的分析，并为进一步的发展开辟新的途径。

India has one of the largest youth populations and faces a high long-run (youth) unemployment rate (currently around 17.8% according to Annual Report, Periodic Labour Force Survey of India, 2017-18). To thoroughly study the issue, I want to divide my thesis into three possible chapters. Firstly, I want to understand the impact of skills mismatches on youth unemployment in India given the pace of job creation in the economy. The second chapter will analyze a youth Skill Development policy named 'Pradhan Mantri Kaushal Vikas Yojana (PMKVY)' scheme of the Ministry of Skill Development and Entrepreneurship in India. And the third chapter will explore the relationship between crime and youth unemployment. Using data from Indian National Sample Survey, Indian Human Development Survey and Annual Industrial Survey and labor statistics, and National Crime Record Bureau, which contains data on employment, unemployment rates, crime rates, education, and so on, I aim to apply econometric models to study the relationship between the concerned variables. The methodology will be developed on previous research that has used duration models to study the exit rate from unemployment due to improvement in skills and the Becker model tostudy the correlation between crime and unemployment. Thus, the research with its social objectives concerning the important human capital resource of a vast economy will aim to holistically analyze the issues by making detailed inquiries into the previously published research and open new avenues for further development.