{"id":8855,"date":"2022-08-25T11:22:00","date_gmt":"2022-08-25T16:22:00","guid":{"rendered":"https:\/\/sitios.udla.edu.ec\/econometria\/?post_type=ajde_events&p=8855"},"modified":"2022-11-18T16:13:33","modified_gmt":"2022-11-18T21:13:33","slug":"what-makes-a-program-good-evidence-from-short-cycle-higher-education-programs-in-five-developing-countries","status":"publish","type":"ajde_events","link":"https:\/\/sitios.udla.edu.ec\/econometria\/events\/what-makes-a-program-good-evidence-from-short-cycle-higher-education-programs-in-five-developing-countries\/","title":{"rendered":"What Makes a Program Good? Evidence from Short-Cycle Higher Education Programs in Five Developing Countries"},"content":{"rendered":"\n
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Mar\u00eda Marta Ferreyra<\/strong>
PhD en Econom\u00eda. PhD en Econom\u00eda. University of Wisconsin-Madison.
Economista Senior en la Oficina del Economista Jefe para Am\u00e9rica Latina y el Caribe del Banco Mundial.<\/strong><\/p>\n\n\n\n

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Abstract: :<\/strong> Short-cycle higher education programs (SCPs) can play a central role in skill development and higher education expansion, yet their quality varies greatly within and among countries. In this paper we explore the relationship between programs\u2019 practices and inputs (quality determinants) and student academic and labor market outcomes. We design and conduct a novel survey to collect program-level information on quality determinants and average outcomes for Brazil, Colombia, Dominican Republic, Ecuador, and Peru. Categories of quality determinants include training and curriculum, infrastructure, faculty, link with productive sector, costs and funding, and other practices on student admission and institutional governance. We also collect administrative, student-level data on higher education and formal employment for SCP students in Brazil and Ecuador and match it to survey data. Using machine learning methods, we select the quality determinants that predict outcomes at the program and student levels. Estimates indicate that some quality determinants may favor academic and labor market outcomes while others may hinder them. Two practices predict improvements in all labor market outcomes in Brazil and Ecuador\u2014teaching numerical competencies and providing job market information\u2014and one practice\u2014teaching numerical competencies\u2014additionally predicts improvements in labor market outcomes for all survey countries. Since quality determinants account for 20-40 percent of the explained variation in student-level outcomes, estimates indicate a role for quality determinants to shrink the quality gap among programs. These findings have implications for the design and replication of high-quality SCPs, their regulation, and the development of information systems.<\/p>\n\n\n\n\n\t\t\t\t\t\t\tVer Video\t\t\t\t\t<\/a>\n","protected":false},"author":1,"featured_media":0,"menu_order":0,"template":"","meta":{"_acf_changed":false},"tags":[],"event_type":[],"event_type_2":[],"class_list":["post-8855","ajde_events","type-ajde_events","status-publish","hentry"],"acf":[],"yoast_head":"\nWhat Makes a Program Good? Evidence from Short-Cycle Higher Education Programs in Five Developing Countries - Econometr\u00eda<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/sitios.udla.edu.ec\/econometria\/events\/what-makes-a-program-good-evidence-from-short-cycle-higher-education-programs-in-five-developing-countries\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"What Makes a Program Good? Evidence from Short-Cycle Higher Education Programs in Five Developing Countries - Econometr\u00eda\" \/>\n<meta property=\"og:description\" content=\"Mar\u00eda Marta FerreyraPhD en Econom\u00eda. PhD en Econom\u00eda. 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