This paper provides a non-technical summary of recent research on why people stay put rather than move, even in the face of adverse local economic shocks. I compare three frameworks for understanding migration: the moving costs model, the spatial frictions model, and a newer approach called the...

This paper examines how regional economic diversity shapes economic resilience across European regions during major crises. Using sectoral diversity indicators at the NUTS-2 level, we analyze the impact of diversity on three dimensions of resilience: the depth of economic downturns, the strength...

The causal relationship between living in a peripheral area and real estate investment decisions is currently unexplored in empirical literature. Using survey data on 2711 Italian respondents collected between 2022 and 2023, we show that living in a peripheral area has a negative impact on the...

Environmental policies such as the European Union Emissions Trading System (EU ETS) raise concerns about their impact on local employment and competitiveness. Yet, existing EU ETS studies focus on firm-level outcomes during the initial phases of the program. We construct a panel dataset of about...

We study the regional distribution of primary care physicians in Germany to learn about the extent and possible reasons of geographic maldistribution. For this aim, we apply a greedy capacitated algorithm on very fine spatial data. We compare this reference allocation of primary care physicians...

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...

This paper examines how regional economic diversity shapes economic resilience across European regions during major crises. Using sectoral diversity indicators at the NUTS-2 level, we analyze the impact of diversity on three dimensions of resilience: the depth of economic downturns, the strength...

Regional economic inequality remains a persistent challenge in developing economies, particularly in peripheral regions characterized by fragmented geography and uneven development. This study examines spatial spillovers in regional economic inequality by integrating spatial econometric analysis...

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...

This paper provides quantitative evidence on the geography of regional readiness to tackle climate change using data from France, Germany, Italy, Poland, and Spain. Following Cappellano et al. (2022), we estimate a composite indicator that reports the situation of regions in these countries...

Environmental policies such as the European Union Emissions Trading System (EU ETS) raise concerns about their impact on local employment and competitiveness. Yet, existing EU ETS studies focus on firm-level outcomes during the initial phases of the program. We construct a panel dataset of about...

This paper investigates the role of banking networks in the transmission of shocks across borders. Combining banking deregulation in the US with state-level idiosyncratic demand shocks, we show that geographically diversified banks reallocate funds from economies experiencing negative shocks to...

As China advances toward its "Dual Carbon" goals, clarifying the role of the digital economy (DE) in reducing urban carbon emissions is of growing importance. This study uses panel data from 274 Chinese prefecture-level cities (2011-2022) and applies benchmark regression, the Spatial Durbin...

Concerns have been raised regarding the equity and efficiency of Chinese healthcare systems, where improved transportation is expected to be a significant factor. The positive externalities of transport have been confirmed in many domains, but there is a lack of evidence in the field of...

We investigate how strongly the local environment beyond the family can contribute to understanding the formation of children's economic preferences. Building on precise geolocation data for around 6000 children, we use fixed effects, spatial autoregressive models and Kriging to capture the...

Submarine cables enable international connectivity and are essential for high- speed internet access. This paper examines their impact on internet access price, focusing on price reductions driven by cost savings and competition intensity. Using a dataset of submarine cable capacity and internet...

Spatial econometrics deals with econometric modeling in the presence of spatial dependence and heterogeneity, where observations correspond to specific spatial units such as points or regions. Traditional estimation techniques assume independent observations and are inadequate when spatial...

This study applies a heteroscedastic spatial Durbin panel data model to investigate how sociodemographic and socioeconomic factors influence regional commuter mobility in the Greater Stockholm Area. Commuter mobility, defined as the flow of people to and from workplaces across regions and over...

This study examines regional income and inequality in the People's Republic of China from 2001 to 2020 using high-quality nighttime light (NTL) data to help proxy for the gross domestic product (GDP). The NTL-based dataset for 332 Chinese prefectural cities and 2,813 county-level units that...