Joel Suss
CASE Visiting Fellow
Expertise: behavioural science, economic inequality, quantitative methods
Biography
Joel is a Research Data Scientist in the Advanced Analytics division at the Bank of England and a Visiting Fellow jointing at CASE and at LSE's International Inequalities Institute. He completed his PhD in the Department of Psychological and Behavioural Science at LSE in 2021. His work uses large datasets and computational methods to measure economic inequality at granular spatial levels. For example, he brought together house price data and small-area income estimates to measure inequality at the neighbourhood level in the UK (see the paper and an interactive map). Using local measures to better approximate how inequality is experienced, Joel’s research explores the consequences of economic inequality for important social and economic behaviours. His study (co-authored with Thiago R. Oliveira) provides evidence of a link between neighbourhood inequality in London and the volume of police stop and search activity.
Joel Suss's current research interests are:
- The consequences of inequality
- The intersection of behavioural science and public policy
- The economic, social and political consequences of technology
- Financial stability and regulation
Joel's latest projects include:
- Gender, age and nationality diversity in UK banks
- Organisational Culture and bank risk
- Predicting bank distress in the UK with machine learning