Pursuing educational qualifications later in life is an increasingly common phenomenon within OECD countries since technological change and automation continues to drive the evolution of skills needed in many professions. We focus on the causal impacts to economic returns of degrees completed later in life, where motivations and capabilities to acquire additional education may be distinct from education in early years. We find that completing an additional degree leads to more than \$3000 (AUD, 2019) extra income per year compared to those who do not complete additional study. For outcomes, treatment and controls we use the extremely rich and nationally representative longitudinal data from the Household Income and Labour Dynamics Australia survey (HILDA). To take full advantage of the complexity and richness of this data we use a Machine Learning (ML) based methodology for causal effect estimation. We are also able to use ML to discover sources of heterogeneity in the effects of gaining additional qualifications. For example, those younger than 45 years of age when obtaining additional qualifications tend to reap more benefits (as much as \$50 per week more) than others.
翻译:在OECD国家中,晚年追求教育资格是越来越普遍的现象,因为技术变革和自动化继续驱动许多职业所需要的技能的演变。本文关注晚年完成学位所产生的经济回报效应,这里的动机和能力获取额外教育资格可能与早年教育不同。我们发现,相比未完成额外学习的人群,完成额外学位可以带来每年超过3000澳元的额外收入。我们使用《澳大利亚家庭收入和劳动力动态调查》调查(HILDA)的非常丰富和全国代表性的纵向数据来处理结果、处理和控制。为了充分利用这些数据的复杂性和丰富性,我们使用基于机器学习(ML)的方法进行因果效应估计。我们还能够使用ML发现获得额外资格的效应的异质性来源。例如,那些在获得额外资格时年龄不到45岁的人通常会获得比其他人更多的利益(多达每周50澳元)。