An emerging quantitative spatial economics literature models commuting interactions by a gravity equation that is mathematically equivalent to a multinomial logit model. This model is widely viewed as restrictive because of the independence of irrelevant alternatives (IIA) property that links...

Urban heritage is often concentrated in conservation areas with a protected status. Previous research argues that urban heritage attracts especially higher educated households who are likely to have higher incomes. The presence of these households may have a further impact on the attractiveness...

This paper studies inter- and intramodal competition in the London-Paris passenger market. Using revealed preference data, we estimate nested and mixed multinomial logit models to examine passenger behaviour in the London-Paris market. We present a case study on the relocation of Eurostar...

In the Netherlands a transition takes place fromearly retirement schemes, which are characterizedby high implicit tax rates to schemes that have ahigher degree of actuarial fairness. in this paperwe look at the impact of this change at the laborparticipation rates of 55 to 65 years old...

This paper shows that Hausman-McFadden and related tests for the multinomial logit model are not informative about failure of IIA, but only about specification error in the deterministic part of the utilities attached to choice alternatives. It is shown that the multinomial logit cannot be...

Using commuting data for Brisbane, Australia, we find that accounting for measurement error in travel times causes the magnitude of parameters in mode and location choice models to increase approximately three-fold and 30-40%, respectively. Errors appear to be somewhat systematic, with travel...

Unemployment rates appear to vary widely at a subregional (e.g., local or provincial) level. Using spatial econometric models for spatial autocorrelation, this paper focuses attention on the spatial structure of regional unemployment disparities of Italian provinces. On the basis of findings...

Existing indices measuring the spatial distribution of economic activity such as the Krugman Specialisation Index, the Hirschmann-Herfindahl index and the Ellison-Glaeser index typically do not take into account the spatial structure of the data. In this paper, we first consider traditional...

We consider treatment effect estimation via a difference-in-difference approach for data with local spatial interaction such that the outcome of observed units depends on their own treatment as well as on the treatment status of proximate neighbors. We show that under standard assumptions...

Spatial effects are endemic in models based on spatially referenced data. The increased awareness of the relevance of spatial interactions, spatial externalities and networking effects among actors, evoked the area of spatial econometrics. Spatial econometrics focuses on the specification and...