This paper presents a counter-factual model identifying Average Treatment Effects (ATEs) by Conditional Mean Independence when externality (or neighbourhood) effects are incorporated within the traditional potential outcome model. As such, it tries to generalize the usual approach, widely used...

While the growing supply of university skills is known to have agglomerated towards the large centers in Finland, there is no research knowledge available on the development of regional demands. This paper attempts to fill this gap by analyzing regional variation in the private-sector return to...

Many regression models are used to provide some recommendations in private sectors or government public policy. Data are usually obtained from several districts which may varies from one to the others. Assuming there is no significant variation among local data, a single global model may provide...

Three methods reported in the literature are subject to comparative analysis in the present paper: 1. Classic method [1,5]; 2. Merce E., Merce C.C. Method[2,3]; 3. Merce E., at al Method[4]; It is shown that in the case of the first two methods mentioned above, the attempts to distribute...

Focusing on the characteristics of destinations, this paper pursues to identify the role of spatial spillovers in driving location choices of manufacturing and services' firms. With this objective a spatial conditional logit framework is defined, allowing for neighbourhood-related spatial...