We show how to combine statistically efficient ways to design discrete choice experiments based on random utility theory with new ways of collecting additional information that can be used to expand the amount of available choice information for modeling the choices of individual decision...

Recent Monte Carlo work on choosing experimental designs for discrete choice experiments seemed to greatly simplify this choice for applied researchers. It suggested that (a) commonly used designs can generate unbiased estimates for indirect utility function specifications with main effects only...

This paper provides empirical evidence on how the labour market impacts of the COVID-19 pandemic vary across workers' incomes, assets, characteristics and household structures in the UK. Using data from the UK Household Longitudinal Study, we find that less educated and young workers are most...