This document introduces the R library estimateW to estimate spatial weight matrices for Bayesian spatial econometric panel models. The approach focuses on spatial weights that are binary prior to row-standardization. However, unlike recent literature our approach requires no strong a priori...

The COVID-19 pandemic generated highly heterogeneous economic effects across territories, reflecting differences in local production structures and spatial organization. This paper examines the geography of short-run economic fragility during the first wave of the pandemic by identifying...

Populist radical right parties known for populist, anti-immigrant, and Eurosceptic stances have gained varying electoral support in the European Union. Slovakia is no exception and this study investigates the determinants of support for populist radical right parties in Slovakia, focusing on...

We examine geographic spillovers in digital credit markets by studying how natural disasters affect borrowing behavior in adjacent, physically undamaged regions. Using granular loan-level data from Indonesia's largest FinTech lender (2021-2023) and leveraging quasi-random variation in disaster...