Non-parametric machine learning models, such as random forests and gradient boosted
trees, are frequently used to estimate house prices due to their predictive accuracy, but such …

Most research documenting correlation between behavioral biases use survey or
experimental data, often focusing on related biases. We test whether evidence of loss …

Estimates of loss aversion in housing sales prices may be biased because expected losses
correlate with housing and borrower unobservables. We provide new evidence of loss …

A growing body of literature has shown, again and again, that investors suffer from
behavioural biases. They make cognitive errors by processing the available information in a …

This paper investigates whether sellers in the housing market are loss averse, which is
argued to be the source for the positive correlation between prices and volume in housing …