Summary
Project UNEQUALED aims to study educational constraints faced by individuals at a stage when they are planning their future investments in human capital. Despite its importance, understanding the determinants of educational choices has been a longstanding challenge for two important reasons. First, it requires broad, representative, data. Secondly, because the environment in which individuals’ educational plans are formed, and adjust, is typically endogenous to their characteristics. I will tackle these issues using large interventions on nationally representative samples of individuals.
Different parts of project UNEQUALED target specific questions that will help construct an overall picture. The project will seek to understand, and quantify, the role of the different barriers in leading to unequal learning and opportunities and the effects of easing the constraints. Specifically asking: Can the easing of technological constraints reduce learning inequality? What role does ICT access and training play for distance learning? Does differential social exposure within the classroom impact student outcomes? Can role models help an individual reach their goal? How important are psychological (or socio-emotional) barriers for achievement?
I will address each part using detailed micro longitudinal data, but at a macro level (large scale, nationally representative samples). I plan to combine economic concepts with field interventions, experiments and rich econometric and computer sciences tools to analyse big datasets and to causally estimate the impact of the components that drive the adjustment in educational plans, and, ultimately, how these factors into later educational outcomes. All projects will aim to capture the short and long-run impacts. To carry off this ambitious research project, I will work with a large and interdisciplinary network of researchers specializing in economics, statistics, computer science, management science, and public policy.
Different parts of project UNEQUALED target specific questions that will help construct an overall picture. The project will seek to understand, and quantify, the role of the different barriers in leading to unequal learning and opportunities and the effects of easing the constraints. Specifically asking: Can the easing of technological constraints reduce learning inequality? What role does ICT access and training play for distance learning? Does differential social exposure within the classroom impact student outcomes? Can role models help an individual reach their goal? How important are psychological (or socio-emotional) barriers for achievement?
I will address each part using detailed micro longitudinal data, but at a macro level (large scale, nationally representative samples). I plan to combine economic concepts with field interventions, experiments and rich econometric and computer sciences tools to analyse big datasets and to causally estimate the impact of the components that drive the adjustment in educational plans, and, ultimately, how these factors into later educational outcomes. All projects will aim to capture the short and long-run impacts. To carry off this ambitious research project, I will work with a large and interdisciplinary network of researchers specializing in economics, statistics, computer science, management science, and public policy.
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More information & hyperlinks
| Web resources: | https://cordis.europa.eu/project/id/101044361 |
| Start date: | 01-09-2022 |
| End date: | 31-08-2027 |
| Total budget - Public funding: | 1 862 332,00 Euro - 1 862 332,00 Euro |
Cordis data
Original description
Project UNEQUALED aims to study educational constraints faced by individuals at a stage when they are planning their future investments in human capital. Despite its importance, understanding the determinants of educational choices has been a longstanding challenge for two important reasons. First, it requires broad, representative, data. Secondly, because the environment in which individuals’ educational plans are formed, and adjust, is typically endogenous to their characteristics. I will tackle these issues using large interventions on nationally representative samples of individuals.Different parts of project UNEQUALED target specific questions that will help construct an overall picture. The project will seek to understand, and quantify, the role of the different barriers in leading to unequal learning and opportunities and the effects of easing the constraints. Specifically asking: Can the easing of technological constraints reduce learning inequality? What role does ICT access and training play for distance learning? Does differential social exposure within the classroom impact student outcomes? Can role models help an individual reach their goal? How important are psychological (or socio-emotional) barriers for achievement?
I will address each part using detailed micro longitudinal data, but at a macro level (large scale, nationally representative samples). I plan to combine economic concepts with field interventions, experiments and rich econometric and computer sciences tools to analyse big datasets and to causally estimate the impact of the components that drive the adjustment in educational plans, and, ultimately, how these factors into later educational outcomes. All projects will aim to capture the short and long-run impacts. To carry off this ambitious research project, I will work with a large and interdisciplinary network of researchers specializing in economics, statistics, computer science, management science, and public policy.
Status
SIGNEDCall topic
ERC-2021-COGUpdate Date
09-02-2023
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