分解STEM教育和学徒制对经济流动性的影响:来自LaunchCode项目的证据

IF 2.4 1区教育学 Q1 EDUCATION & EDUCATIONAL RESEARCH

Educational Evaluation and Policy Analysis Pub Date : 2023-10-30 DOI:10.3102/01623737231199985

Jason Jabbari, Yung Chun, Wenrui Huang, Stephen Roll

{"title":"分解STEM教育和学徒制对经济流动性的影响:来自LaunchCode项目的证据","authors":"Jason Jabbari, Yung Chun, Wenrui Huang, Stephen Roll","doi":"10.3102/01623737231199985","DOIUrl":null,"url":null,"abstract":"We conduct an impact analysis on a unique technology certificate and apprenticeship program offered by LaunchCode. We merge administrative data containing entrance exam scores with survey data for individuals that were (a) not accepted, (b) accepted but did not complete the course, (c) completed the course but not the apprenticeship, and (d) completed the course and the apprenticeship. By using entrance exam scores as an instrumental variable, we conduct an intent-to-treat model, finding that program acceptance was significantly associated with increased earnings and probabilities of working in a science, technology, engineering, and math (STEM) profession. Then, by using machine learning-generated multinomial propensity score weights, we conduct a treatment-on-treated analysis, finding that these increases appear to be primarily driven by the apprenticeship component.","PeriodicalId":48079,"journal":{"name":"Educational Evaluation and Policy Analysis","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Disaggregating the Effects of STEM Education and Apprenticeships on Economic Mobility: Evidence From the LaunchCode Program\",\"authors\":\"Jason Jabbari, Yung Chun, Wenrui Huang, Stephen Roll\",\"doi\":\"10.3102/01623737231199985\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We conduct an impact analysis on a unique technology certificate and apprenticeship program offered by LaunchCode. We merge administrative data containing entrance exam scores with survey data for individuals that were (a) not accepted, (b) accepted but did not complete the course, (c) completed the course but not the apprenticeship, and (d) completed the course and the apprenticeship. By using entrance exam scores as an instrumental variable, we conduct an intent-to-treat model, finding that program acceptance was significantly associated with increased earnings and probabilities of working in a science, technology, engineering, and math (STEM) profession. Then, by using machine learning-generated multinomial propensity score weights, we conduct a treatment-on-treated analysis, finding that these increases appear to be primarily driven by the apprenticeship component.\",\"PeriodicalId\":48079,\"journal\":{\"name\":\"Educational Evaluation and Policy Analysis\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2023-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Educational Evaluation and Policy Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3102/01623737231199985\",\"RegionNum\":1,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"EDUCATION & EDUCATIONAL RESEARCH\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Educational Evaluation and Policy Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3102/01623737231199985","RegionNum":1,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"EDUCATION & EDUCATIONAL RESEARCH","Score":null,"Total":0}

引用次数: 0

摘要

我们对LaunchCode提供的独特技术证书和学徒计划进行了影响分析。我们将包含入学考试成绩的行政数据与以下个人的调查数据合并:(a)未被录取，(b)被录取但未完成课程，(c)完成课程但未完成学徒，以及(d)完成课程并完成学徒。通过使用入学考试分数作为工具变量，我们进行了意向治疗模型，发现课程接受度与增加的收入和在科学，技术，工程和数学(STEM)专业工作的概率显着相关。然后，通过使用机器学习生成的多项倾向得分权重，我们进行了治疗对治疗的分析，发现这些增加似乎主要是由学徒组成部分驱动的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Disaggregating the Effects of STEM Education and Apprenticeships on Economic Mobility: Evidence From the LaunchCode Program

We conduct an impact analysis on a unique technology certificate and apprenticeship program offered by LaunchCode. We merge administrative data containing entrance exam scores with survey data for individuals that were (a) not accepted, (b) accepted but did not complete the course, (c) completed the course but not the apprenticeship, and (d) completed the course and the apprenticeship. By using entrance exam scores as an instrumental variable, we conduct an intent-to-treat model, finding that program acceptance was significantly associated with increased earnings and probabilities of working in a science, technology, engineering, and math (STEM) profession. Then, by using machine learning-generated multinomial propensity score weights, we conduct a treatment-on-treated analysis, finding that these increases appear to be primarily driven by the apprenticeship component.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Educational Evaluation and Policy Analysis EDUCATION & EDUCATIONAL RESEARCH-

CiteScore

6.60

自引率

5.90%

发文量

期刊介绍： Educational Evaluation and Policy Analysis (EEPA) publishes manuscripts of theoretical or practical interest to those engaged in educational evaluation or policy analysis, including economic, demographic, financial, and political analyses of education policies, and significant meta-analyses or syntheses that address issues of current concern. The journal seeks high-quality research on how reforms and interventions affect educational outcomes; research on how multiple educational policy and reform initiatives support or conflict with each other; and research that informs pending changes in educational policy at the federal, state, and local levels, demonstrating an effect on early childhood through early adulthood.