We introduce machine learning in the context of central banking and policy analyses. Our
aim is to give an overview broad enough to allow the reader to place machine learning …

We quantify reference dependence and loss aversion in the housing market using rich
Danish administrative data. Our structural model includes loss aversion, reference …

Real and private-value assets—defined here as the sum of real estate, infrastructure,
collectibles, and noncorporate business equity—compose an investment class worth an …

Wages are only mildly cyclical, implying that shocks to labour demand have a larger short-
run impact on unemployment rather than wages, at odds with the quantitative predictions of …

Through a systematic and critical review of the literature, we assembled a list of behavioural
biases identified in the housing market and a taxonomy of behavioural interventions tested …

Loss aversion is a widely-recognized cognitive bias that can affect house price
determination. Existing empirical approaches to quantify its effects require hedonic methods …

Loss aversion is considered a driver of downward price rigidity in real estate markets: during
downturns–when market price of their house is below the price at which they purchased it …

Subsidised insurance against extreme weather events improves its affordability among
households in high-risk areas but it can weaken the risk signal via property prices …

We examine anchoring to the price paid at purchase during an important cycle in
Connecticut, 2000–2017 which is similar to cycles in many other states. Our repeat sales …

Expected losses anchored to purchase prices can affect actual transactions in different
property sectors. Utilizing the data of over a million commercial and residential property …