{"title":"教育、教育不匹配和职业状况:利用 PIAAC 数据进行的分析","authors":"Inés P. Murillo Huertas, José L. Raymond","doi":"10.1007/s40888-024-00328-z","DOIUrl":null,"url":null,"abstract":"<p>The aim of this paper is to estimate the effect of longer schooling on the probability of entering a high-skill job and analyse whether the size of this effect depends on the (mis)match between the education attained by workers and the education required by the jobs. We use PIAAC data to estimate a multinomial logit model that predicts the odds of working in each occupational category and then simulate how these probabilities change for workers who have completed one more year of education, broken down by whether or not this additional year matches the educational requirements of the job. Our results suggest that, as observed from wages estimated according to an ORU equation, better education is positively associated with better jobs but the increased probability of getting a high-skill job as a result of completing one more year of education is greater for required than for mismatched education. The results differ notably by gender, with women being the ones who benefit most from an increase in education, especially in the absence of educational mismatch. These trends are observed whatever the institutional context, but we also found noteworthy differences by country.</p>","PeriodicalId":44858,"journal":{"name":"Economia Politica","volume":"61 1","pages":""},"PeriodicalIF":2.8000,"publicationDate":"2024-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Education, educational mismatch and occupational status: an analysis using PIAAC data\",\"authors\":\"Inés P. Murillo Huertas, José L. Raymond\",\"doi\":\"10.1007/s40888-024-00328-z\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The aim of this paper is to estimate the effect of longer schooling on the probability of entering a high-skill job and analyse whether the size of this effect depends on the (mis)match between the education attained by workers and the education required by the jobs. We use PIAAC data to estimate a multinomial logit model that predicts the odds of working in each occupational category and then simulate how these probabilities change for workers who have completed one more year of education, broken down by whether or not this additional year matches the educational requirements of the job. Our results suggest that, as observed from wages estimated according to an ORU equation, better education is positively associated with better jobs but the increased probability of getting a high-skill job as a result of completing one more year of education is greater for required than for mismatched education. The results differ notably by gender, with women being the ones who benefit most from an increase in education, especially in the absence of educational mismatch. These trends are observed whatever the institutional context, but we also found noteworthy differences by country.</p>\",\"PeriodicalId\":44858,\"journal\":{\"name\":\"Economia Politica\",\"volume\":\"61 1\",\"pages\":\"\"},\"PeriodicalIF\":2.8000,\"publicationDate\":\"2024-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Economia Politica\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://doi.org/10.1007/s40888-024-00328-z\",\"RegionNum\":4,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Economia Politica","FirstCategoryId":"96","ListUrlMain":"https://doi.org/10.1007/s40888-024-00328-z","RegionNum":4,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
摘要
本文旨在估算延长受教育时间对从事高技能工作概率的影响,并分析这种影响的大小是否取决于工人所受教育与工作岗位所需的教育之间的(不)匹配程度。我们使用 PIAAC 数据估算了一个多叉对数模型,该模型预测了在每个职业类别中工作的几率,然后模拟了多完成一年教育的工人的几率如何变化,并按照多完成的一年教育是否与工作的教育要求相匹配进行了细分。我们的结果表明,正如根据 ORU 方程估算的工资所观察到的那样,更好的教育与更好的工作正相关,但完成多一年教育后获得高技能工作的概率的增加,在要求教育的情况下要大于不匹配教育的情况。不同性别的结果差异显著,女性从教育增长中获益最大,尤其是在没有教育不匹配的情况下。无论在何种制度背景下,都可以观察到这些趋势,但我们也发现了不同国家之间的显著差异。
Education, educational mismatch and occupational status: an analysis using PIAAC data
The aim of this paper is to estimate the effect of longer schooling on the probability of entering a high-skill job and analyse whether the size of this effect depends on the (mis)match between the education attained by workers and the education required by the jobs. We use PIAAC data to estimate a multinomial logit model that predicts the odds of working in each occupational category and then simulate how these probabilities change for workers who have completed one more year of education, broken down by whether or not this additional year matches the educational requirements of the job. Our results suggest that, as observed from wages estimated according to an ORU equation, better education is positively associated with better jobs but the increased probability of getting a high-skill job as a result of completing one more year of education is greater for required than for mismatched education. The results differ notably by gender, with women being the ones who benefit most from an increase in education, especially in the absence of educational mismatch. These trends are observed whatever the institutional context, but we also found noteworthy differences by country.
期刊介绍:
This journal publishes peer-reviewed articles that link theory and analysis in political economy, promoting a deeper understanding of economic realities and more effective courses of policy action. Established in 1984, the journal has kept pace with the times in disseminating high-quality and influential research aimed at establishing fruitful links between theories, approaches and institutions. With this relaunch (which combines Springer’s worldwide scientific scope with the Italian cultural roots of il Mulino and Fondazione Edison, whose research has been published by the two mentioned publishers for many years), the journal further reinforces its position in the European and international economic debate and scientific community. Furthermore, this move increases its pluralistic attention to the role that – at the micro, sectoral, and macro level – institutions and innovation play in the unfolding of economic change at different stages of development.