  This article proposes inference procedures for distribution regression models
in duration analysis using randomly right-censored data. This generalizes
classical duration models by allowing situations where explanatory variables'
marginal effects freely vary with duration time. The article discusses
applications to testing uniform restrictions on the varying coefficients,
inferences on average marginal effects, and others involving conditional
distribution estimates. Finite sample properties of the proposed method are
studied by means of Monte Carlo experiments. Finally, we apply our proposal to
study the effects of unemployment benefits on unemployment duration.
