Economic and Quantitative Analysis

The Economic and Quantitative Analysis grouping comprises two disciplinary pathways: Economics and Quantitative Social Science.

Use the links below to view profiles of our current students:

 Economics
Alex Clyde (2017 Cohort)
Behavioural Economics and Optimal Taxation
Professor Rani Spiegler
Andrea Smurra (2017 Cohort)
Informal Taxation in Myanmar: Equity, Efficiency and Tax Morale
Prof Imran Rasul
Attila Katona
An analysis of the interrelationship between credit market dynamics and macroeconomic fluctuations
Prof Stephen Wright
Elena Ashtari Tafti (2017 Cohort)
NHS and the relationship between competition and innovation
Dr Marcos Vera Hernández
Nikhil Datta (2017 Cohort)
Essays in Labour Economics: Theoretical and empirical assessments of the evolving labour market
Prof Uta Shönberg
Riccardo D’Adamo (2017 Cohort)
Robust inference in high-dimensional econometrics
Dr Martin Weidner
Uta Bolt (2017 Cohort)
A shaken view? Evidence on risk perceptions and insurance choices using Japanese earthquake data
Prof Ian Preston
Jamie Hentall-MacCuish (2018 Cohort)
Research Project Proposal: Oversensitivity of Retirement to State Pension Age
Prof Fabian Postel-Vinay
Quantitative Social Science
Maximiliane Verfuerden (2017 Cohort)
The feasibility of reactivating dormant clinical trial data in England:a proof-of-concept-study on the reactivation of dormant randomised controlled trials using linked administrative data.
Prof Lorraine Dearden
Selina Patel (2017 Cohort)
Developing measures of antibiotic prescribing quality in hospital
Dr Laura Shallcross