In this paper, we introduce a method of generating bootstrap samples with unknown patterns of cross-sectional/spatial dependence, which we call the spatial dependent wild bootstrap. This method is a spatial counterpart to the wild dependent bootstrap of Shao (2010) and generates data by...

We develop a Bayesian semi-parametric approach to the instrumental variable problem. We assume linear structural and reduced form equations, but model the error distributions non-parametrically. A Dirichlet process prior is used for the joint distribution of structural and instrumental variable...

This study assesses the causal effect of the inefficiency of the judicial system on the delay in the execution of public contracts. We apply a border-discontinuity design that leverages the variation in the length of civil proceedings across Italian jurisdictions and a granular dataset of public...