We exploit a timely city-level panel of individual house price estimates for both small and big real-estate markets in California USA to estimate the impact of COVID-19 on the housing market. Descriptive analysis of spot house price estimates, including contemporaneous price uncertainty and...

The most frequent mortgage loans in the US behave according to nominal interest rates with level loan payments (NRMs), like Fixed Rate Mortgages (FRMs) or Adjustable Rate Mortgages (ARMs). We use a model to show that the tilt effect, an increase of real payments in the early years of the...

What explains record U.S. house price growth since late 2019? We show that the shift to remote work explains over one half of the 23.8 percent national house price increase over this period. Using variation in remote work exposure across U.S. metropolitan areas we estimate that an additional...

We use a model and show how inflation and mortgage loans based on nominal interest rates (NRMs), like FRMs, ARMs or IOs, are a source of instability for housing markets. NRMs allocate risk inappropriately and cause economic tensions due to the tilt effect (Lessard and Modigliani, 1975), the...

I estimate a theoretically and statistically satisfying model to account for the demand for lease renewals for one of the largest Real Estate Investment Trust companies (REIT) in the U.S. The variables that together account for ninety eight percent of the variation in the demand for lease...

This chapter surveys the literature on the microstructure of housing markets. It considers one-sided search, random matching, and directed search models. It also examines the bargaining that takes place once a match has occurred, with the bargaining taking various forms, including two-party...

This study investigates the effects of European monetary integration on the behavior of stock returns in European real estate companies from the perspective of a dollar-denominated investor. A range of statistical tests is applied to assess changes in segmentation, co-movement and causality. The...

Algorithmic pricing can improve efficiency by helping firms set prices more responsive to changing market conditions. However, widespread adoption of the same algorithm could also lead to price coordination, resulting in elevated prices. In this paper, we examine the impact of algorithmic...

The tenure decision upon whether to buy or to rent accommodation has long-term consequences for households' financial wellbeing that influence macroeconomic development and stability when the cumulative effects of individual decisions are aggregated across populations. The author explains how...

The Gordon Growth Model is used to derive widely differing fundamental values of the same gross rental yield for six hypothetical housing purchasers listed in declining order of magnitude: a fully funded consumer with a marginal tax rate of 40%, a fully funded buy to let investor with a marginal...