This paper sets out a new research design to test for price discrimination by sellers in the housing market. The design controls carefully for unobserved differences in the quality of neighborhoods and homes purchased by buyers of each race, using novel panel data from over two million...

Systemic risk must include the housing market, though economists have not generally focused on it. We begin construction of an agent-based model of the housing market with individual data from Washington, DC. Twenty years of success with agent-based models of mortgage prepayments give us hope...

This paper analyzes the role of uncertainty in a multi-sector housing model with financial frictions. We include time varying uncertainty (i.e. risk shocks) in the technology shocks that affect housing production. The analysis demonstrates that risk shocks to the housing production sector are a...

Housing is a basic need and is intricately connected to a household's health and wellness. The current pandemic has exposed the housing vulnerability for certain subgroups of the population and further jeopardized these household's health and stability. Using the Household Pulse Survey launched...

Crime negatively affects housing values. However, little empirical evidence documenting the amenity value of how people are policed exists. Stop & Frisk was a particularly salient policing tactic employed in New York City until a judge ruled it to be unconstitutional. This study uses exogenous...

Education in Denmark is freely available. Despite near equal teacher salaries and per-pupil school expenditure across districts, there is substantial spatial heterogeneity in school quality as measured by teacher quality and student test scores. We argue that this is due to sorting of teachers...

Cities are shaped by the strength of agglomeration and dispersion forces. We show that the COVID-19 pandemic has re-introduced disease transmission as a dispersion force in modern cities. We use detailed housing data to study the impact of the COVID-19 pandemic on the location demand for...

This paper uses unique panel data covering over two million repeat-sales housing transactions from four metropolitan areas to test for the presence of racial price differentials in the housing market. Drawing on the strengths of these data, our research design controls carefully for unobserved...

This paper examines whether machine learning (ML) algorithms can outperform a linear model in predicting monthly growth in Canada of both house prices and existing home sales. The aim is to apply two widely used ML techniques (support vector regression and multilayer perceptron) in economic...

This paper analyzes the role of uncertainty in a multi-sector housing model with financial frictions. We include time varying uncertainty (i.e. risk shocks) in the technology shocks that affect housing production. The analysis demonstrates that risk shocks to the housing production sector are a...