Ruslan Seletskiy

Ruslan Seletskiy
University College London | UCL · Department of Social Science

Master of Science


I am interested in economic returns to a higher education degree, higher education policy, and comparative macro-sociology.
Additional affiliations
September 2016 - December 2016
National Research University Higher School of Economics
  • Module Assistant for Sociological Theory
  • The module received a high student evaluation:
September 2017 - September 2018
University College London
Field of study
  • Social Policy, Social Research
August 2015 - December 2015
University of Oslo
Field of study
  • Political Science, Cognitive Psychology, Organisational Psychology
September 2014 - January 2015
University of Essex
Field of study
  • Management, Economics


Projects (2)
The current research focuses on the cohort dynamic of Emancipative Values Index (EVI) compared to the level of national socio-economic development in a set of European societies longitudinally covered by the World Values Survey and World Bank Data. This paper addresses the analysis of twenty countries that have been covered in waves Nº4, Nº5 and Nº6 of the project, including Austria, Belgium, Cyprus, Czech Republic, Denmark, Finland, France, Germany, Greece, Hungary, Italy, Malta, the Netherlands, Norway, Poland, Romania, Spain, Sweden, Switzerland and the United Kingdom. Descriptive analysis, linear regression, and generalised additive modelling are deployed in the data analysis.
Higher education is one of the forces of social mobility in the United Kingdom. The prior research examined the access to higher education of disadvantaged applicants, happiness, health, longevity, social wellbeing, and rarely touched the influence of the differences in the level of study, the field of study and institutional prestige on the patterns of economic returns. The dissertation aims to examine the association between the higher education degree type and economic returns in the UK. The research assesses the chances of being in the top five per cent of earners for the NCDS 1957 cohort at age 41-42. The author deploys rich longitudinal data, and controls for a rich set of socioeconomic and educational predictors, potentially confounding the analysis