My PhD thesis studies the role of reputation in indefinite interactions. I extend existing economic models to incorporate reputational concerns. Based on these models, I empirically estimate the significance of reputational incentives using experimental evidence and administrative data. My background and previous research covers the areas of behavioural economics, microeconomic modelling, applied econometrics and learning algorithms.
My research interests going forward lie in the areas of tax compliance, identifying abnormalities in tax returns, and contractual consultancy work. My good understanding of reputational incentives and indefinite interactions is highly relevant to tax authorities, as reputation is a key aspect of planning audits and identifying tax evasion. My solid background in empirical analysis and machine learning is highly applicable to detecting abnormalities within networks and using digitalisation as a method of enforcing tax compliance.