Inequality in Education: Methods for Mechanisms and Causality (online) (cancelled)
26/02/2024 - 27/02/2024
Dr Francesca Foliano and Dr Greta Morando
Intermediate (some prior knowledge)
IOE Short Courses
Due to unforeseen circumstances, this course has now been cancelled.
This two-day course will overview popular causal inference methods and their applications in the study of inequality in education. By discussing papers that use specific methods to investigate inequality in education, we will cover the econometric theory and how to implement the estimation methods in Stata statistical software.
The topics that will be covered include how preferences in education are formed, how discrimination affects inequality in attainment and what other factors determine inequality in educational attainment and its consequences in later outcomes. The dimensions of inequality explored by the course will be those of gender, socio-economic status, and ethnicity/race.
By the end of the course participants will:
- have a good understanding of the main topics explored in the quantitative study of inequality in education;
- have the theoretical and practical knowledge to undertake quantitative research to estimate causal effects for inequality in education;
- be able to use popular quantitative methods in Stata.
This course is aimed at postgraduate researchers in social science, especially PhD students, and analysts interested in quantitative analysis of inequality in education such as civil servants and researchers from the third sector. Good understanding of main statistical concepts and intermediate programming skills in Stata are preferred.
Good knowledge of Stata and of statistics/econometrics intermediate topics such as multivariate regression. There will be practical workshops where you would need to have Stata (MP/SE/BE) any recent version
Format of course
The course will last two days. Each day will be organised as follows:
- 3 hours in the morning (approximately 2 hours of lecture and 1 hour of exercise)
- Break (1 hour)
- 3 hours in the early afternoon (Approximately 1 hour of lecture and 2 hours of exercise/group work/Q&A)
- Review of the literature on Inequality in Education: overview of main topics (preferences, discrimination, gender, ethnicity/race, socio-economic status)
- Explanation of different econometric methods for causal estimation: Instrumental Variable, Regression Discontinuity Design, Difference-in-Differences, Randomized Control Trials
- Application of each method in the specific context of Inequality in Education: replication of analyses of seminal papers on Inequality in Education
Dr Francesca Foliano is a research fellow at the Social Research Institute (UCL). She is a labour economist and her main research interests are education, labour and gender economics. Francesca holds a PhD in Economics from the University of Kent.
Dr Greta Morando is a labour economist at the Social Research Institute (UCL). Her expertise is on Economics of Education and Family Economics. Greta holds a PhD in Economics from the University of Essex
Preparatory Reading including online resources
Angrist, J.D. and Pischke, J.S., 2009. Mostly harmless econometrics: An empiricist's companion. Princeton university press.
Cunningham, S., 2021. Causal inference: The mixtape. Yale university press.
The fee per teaching day is:• £30 per day for registered students• £60 per day for staff at academic institutions, Research Councils researchers, public sector staff, staff at registered charity organisations and recognised research institutions. • £100 per day for all other participants. In the event of cancellation by the delegate a full refund of the course fee is available up to two weeks prior to the course. No refunds are available after this date.If it is no longer possible to run a course due to circumstances beyond its control, NCRM reserves the right to cancel the course at its sole discretion at any time prior to the event. In this event every effort will be made to reschedule the course. If this is not possible or the new date is inconvenient a full refund of the course fee will be given. NCRM shall not be liable for any costs, losses or expenses that may be incurred as a result of the cancellation of a course. The University of Southampton’s Online Store T&Cs also continue to apply.
Cross-Sectional Research, Longitudinal Research , Experimental Research , Secondary Analysis, Qualitative Data Handling and Data Analysis, Multimodal Analysis, Quantitative Data Handling and Data Analysis, Statistical Theory and Methods of Inference, Microdata Methods, Regression Methods, Longitudinal Data Analysis, Quantitative Software, Multivariate Analysis
Related publications and presentations:
Qualitative Data Handling and Data Analysis
Quantitative Data Handling and Data Analysis
Statistical Theory and Methods of Inference
Longitudinal Data Analysis