We construct a new dataset containing parcel sizes and building footprints of Canadian manufacturing plants and decompose industrial density (parcel size per worker) into: crowding (floorspace per worker); building height (floorspace to building footprint); and parcel coverage (building...

This paper examines the implications of using VARs in levels under the Max Share identification approach when variables exhibit unit or near-unit roots. We derive the asymptotic distributions of the Max Share estimator, demonstrating that it converges to a random matrix, resulting in...

This study explores how basic income for elderly (non-contributory pension program) affects the health of self-employed and salaried workers differently, which is particularly interesting given the greater social protection and lower income volatility of the latter. The study uses a...

This paper studies the impact of Higher Order Belief shocks, representing shifts in agents' beliefs about others' beliefs, on macroeconomic outcomes. The dynamic causal effects of these shocks are identified by leveraging a combination of a proxy-VAR approach and DSGEbased instruments. Our...

We use the microdata underlying the Ethiopian CPI to examine the spatial dispersion in local prices and availability of 401 items across 106 cities. Remote cities face higher prices and have access to fewer products. Large cities also face higher individual prices but enjoy access to a wider set...

Besides straining international, regional and national employment status classification models, digital labour platforms are pioneering new strategies and approaches in terms of algorithmic management, digital surveillance, remote work and cross-border outsourcing, which are increasingly being...

Using linked records from the 1880 to 1940 full-count United States decennial censuses, we estimate the effects of parental exposure to compulsory schooling (CS) laws on the human capital outcomes of children, exploiting the staggered roll-out of state CS laws in the late nineteenth and early...