We investigate the consequences of discreteness in the assignment variable in regression-discontinuity designs for cases where the outcome variable is itself discrete. We find that constructing confidence intervals that have the correct level of coverage in these cases is sensitive to the...

We investigate the consequences of discreteness in the assignment variable in regression-discontinuity designs for cases where the outcome variable is itself discrete. When the assignment variable is discrete, standard confidence intervals do not have the nominal level of coverage, but...

The presence of sticky, often labelled ‘unengaged', consumers is arguably one of the most intractable issues faced by competition regulators, in that it entrenches incumbency advantage. We develop a spatial linear model of heterogeneous switching costs that allows for asymmetric distributions...