Aquaro et al. (2021) consider a heterogeneous version of the standard spatial autoregressive (SAR) panel data model whereby all coefficients, including the spatial lag coefficient, are allowed to differ over the cross-section units. They refer to …
The paper proposes a class of estimators based on spatial data transformation that allows practitioners to perform inference when models with local unobservable heterogeneity are implemented. In particular, we propose two estimators: the Spatial …
The support for scientific investigation in biomedicine depends in part on the adoption of new knowledge into medical practice. We investigate how a technological advance, in the form of a large and influential 2010 randomized controlled study, …
This paper proposes a stochastic frontier panel data model in which unit-specific inefficiencies are spatially correlated. In particular, this model has simultaneously three important features: i) the total inefficiency of a productive unit depends …