A novel methodology to estimate cruising for parking and related external costs

Practitioners need to know the level of cruising for parking when designing policies. Existing methodologies, such as counting, experiments, and survey, are either too expensive or infeasible be undertaken on a large scale. Inci et al. (2017) introduce an instrumental-variables-based econometric methodology using administrative data estimate average is close full occupancy. This paper introduces novel marginal external time (and thus cost) across space. Our easier implement, requires even less data, estimates whole distribution rather than average, does not require near It also allows welfare evaluations fees supply. To illustrate all these, we apply our Melbourne, which generates rich policy insights. We it same dataset that use Istanbul find consistent results, rendering confidence both methodologies.