We study the choice of acquiring STEM and non-STEM college education using variation induced by the proximity to universities offering different types of programs. We adopt a novel methodology allowing the identification of the distribution of response types and treatment effects in a multiple...

We apply the unordered monotonicity setting of Heckman and Pinto (2018) to estimate the distribution of response types and the counterfactual outcomes associated with the choice of a STEM or non-STEM college. Instrumental variation is induced by the proximity to universities offering STEM and/or...

This paper uses an own built dataset on the history of universities in Italy during 1861-2010 to estimate neighbourhood effects in the local supply of higher education, and incorporate them in a welfare analysis. We implement an instrumental variables approach that exploits initial conditions in...

This paper uses an own built dataset on the history of universities in Italy during 1861-2010 to estimate neighbourhood effects in the local supply of higher education, and incorporate them in a welfare analysis. We implement an instrumental variables approach that exploits initial conditions in...

In this paper we use a representative sample drawn from the `Indagine Statistica sull' Inserimento Professionale dei Laureati' by the Italian National Statistical Institute and data by the Italian Ministry of Education to look at the wage returns from attendance to a regional university (i.e....

This paper uses an own built dataset on the history of universities in Italy during 1861-2010 to estimate neighbourhood effects in the local supply of higher education, and incorporate them in a welfare analysis. We implement an instrumental variables approach that exploits initial conditions in...

This paper uses an own built dataset on the history of universities in Italy during 1861-2010 to estimate neighbourhood effects in the local supply of higher education, and incorporate them in a welfare analysis. We implement an instrumental variables approach that exploits initial conditions in...

This paper uses an own built dataset on the history of universities in Italy during 1861-2010 to estimate neighbourhood effects in the local supply of higher education, and incorporate them in a welfare analysis. We implement an instrumental variables approach that exploits initial conditions in...