The boundary discontinuity method of causal inference may yield misleading results if a policy's impacts do not stop at the border of the implementing jurisdiction. We use geographically precise longitudinal employment data documenting worker job-to-job mobility to study policy spillovers in the...

Previous research finds that the greater geographic mobility of foreign than native-born workers following economic shocks helps to facilitate local labor market adjustment to shifting regional economic conditions. We examine the role that immigration may have played in enabling U.S. commuting...

We study the granular wage and employment effects of a German place-based policy using a research design that leverages EU-wide rules governing program parameters at the regional level. The program subsidizes investments to create jobs with a subsidy rate that varies across labor market regions....

We study the relationship between firm centralization and organizational reproduction in satellite locations. For decentralized firms, the ethnic compositions of inventors in satellite locations mostly resemble their host cities, with little link to the inventor composition of their parent...

A common tactic to estimate willingness-to-travel exploits variation in the relative proximity of consumers to supplier locations. The validity of these estimates relies on the exogeneity of that consumer-supplier distance. We argue that distance to suppliers is endogenous because suppliers...

This paper reviews recent research in spatial economics. The field of spatial economics is concerned with the determinants and effects of the location of economic activity in geographic space. It analyses how geographical location shapes the economic activities performed by agents, their...

We model how an increase in Work-from-Home (WFH) productivity differentially affects workers using a framework in which some workers cannot work offsite, some are hybrid, and some are completely remote. The improvement in WFH productivity increases housing demand and thus housing prices since...

We use data from Reserve Bank of India to study the impact of India's Golden Quadrilateral (GQ) highway project on finance-dependent activity. Loan volumes increase by 20-30% in districts along GQ and are stronger in industries more dependent upon external finance. Loan growth begins with...

We use restricted-access, geocoded data on the near-universe of workers in 23 U.S. states in order to quantify the impact of wind energy development on local earnings and employment, by race, ethnicity, sex, and educational attainment. We find the largest relative impacts for workers without a...

We summarize recent methods to study optimal spatial policies. We center the discussion on policies that implement the optimal distribution of population in the presence of spatial spillovers, spatial transfers to optimally tackle redistribution between rich and poor regions, and optimal...