US voters have been moving apart in the last twenty years. This paper analyzes how their voting participation has partitioned by looking at US counties in the 2012 Presidential elections. To tackle this question, we propose a methodology that jointly addresses spatial autocorrelation of the...

This paper considers the problem of identification, estimation and inference in the case of spatial panel data models with heterogeneous spatial lag coefficients, with and without (weakly) exogenous regressors, and subject to heteroskedastic errors. A quasi maximum likelihood (QML) estimation...

The business restrictions introduced during the COVID-19 pandemic greatly affected the labour market. However, quantifying their costs is not trivial as local policies affect neighbouring areas through spillovers. Exploiting the U.S. local variation in restrictions and commuting, we estimate the...

This paper investigates the underlying causes of suicide. In contrast to previous literature, we use data from the United States at the county level. Our primary methodology is a two-level Bayesian hierarchical model with spatially correlated random effects. Our results show that the significant...

In an interesting and influential paper Robert Lucas (1993) considering the experience of East Asian small economies, suggests that on the job" learning could be the principal engine of their miraculous growth in the last 20 years. In this paper I develop an overlapping generation model where on...