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Estimation and inference for spatial models with heterogeneous coefficients in MATLAB, Python, R, and Stata

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 …

Estimation in presence of local unobservables

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 …

When technological advance meets physician learning in drug prescribing

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, …

Estimation of stochastic frontier models with spatial inefficiency

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 …