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Melvyn’s research interest spans both theoretical and applied microeconometrics including policy evaluation, understanding behaviour over discrete choice; modelling demand systems in empirical industrial organisation; revealed and stated preference models; model testing and evaluation; and computationally intensive methods including machine learning, simulation-based inference and the bootstrap.

Following the coronavirus pandemic, Dr Weeks is examining the relationship between decisions and decision makers under uncertainty. The research will explore the importance of links between the attributes of decision situations, the nature of evidence, together with the characteristics of the decision maker and those whose behaviour a policymaker wishes to affect. The motivation for this work is based on the recognition that how individuals respond to advice on how best to prevent transmission will be as important as government actions.