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Inequality, Frictional Assignment and Home-ownership
A theory of the distribution of housing tenure in a city is developed. Heterogeneous houses are built by a competitive development industry and either rented competitively or sold to households which dier in their income and sort over housing types through a directed search process. In the absence of either nancial or supply restrictions, higher income households are more likely to own and lower quality housing is more likely to be rented. The composition of the housing stock and the rate of home-ownership depend on the distribution of income, the age of the population and construction costs. When calibrated to match average features of housing markets within U.S. cities, observed dif- ferences in these variables account well for the variation observed across cities in home-ownership and the price-rent ratio. A policy designed to improve housing aordability signicantly raises home-ownership among lower income households while lowering the quality supplied to high income households.
Quantifying the Economic Impacts of COVID-19 Policy Responses on Canada's Provinces In (Almost) Real Time
We develop a methodology to track and quantify the economic impacts of lock-down and re-opening policies by Canadian provinces in response to the COVID-19 pandemic, using data that is available with a relatively short time-lag. To do so, we adapt, calibrate and implement a dynamic, seasonally-adjusted, input-output model with supply constraints. Our framework allows us to quantify potential scenarios for the impacts of lock-down and reopening which allow for dynamic complementarities between industries, seasonal fluctuations, and changes in the composition of demand. Taking account of the observed variation in re-opening strategies across provinces, we estimate the costs of the policy response in term of lost hours of employment and production.
