expensive properties, and not to reduce their mortgage debt and house price risk exposure. A counterfactual study of homebuyers …

limited, as it accounts for only 10% of the difference in mortgage rates between loans with 75% and 95% loan to value ratio …

-inefficient properties. This result is robust when controlling for other relevant determinants of mortgage default including borrower income … and the loan to value ratio of the mortgage. We conclude that energy efficiency is a relevant predictor of mortgage …

, tailor-made micro-level data set on bank lending volumes, bank balance sheets and mortgage loan characteristics. Controlling … riskiness of banks' mortgage portfolios. Banks having more mortgages to borrowers with impaired credit history, or more …

novel micro datasets with near-universal coverage of UK mortgages and employment. I estimate that a reduction in mortgage …-tradable businesses the following year. But the spatial distribution of mortgage and labour market structures resulted in significant …

The mortgage market has played a central role in the global financial crisis. One particularly pressing question … surrounds the conditions under which mortgage borrowers enter distress, ie get into arrears or default. This paper develops a … novel micro dataset from residential mortgage loans which UK banks and building societies have pre-positioned with the Bank …

We study the implications of multi-period mortgage loans for monetary policy, considering several realistic … in its nonlinear form and argue that all these features are important to understand the evolution of mortgage debt during …

In understanding the determinants of mortgage default, the consensus has moved from an ‘option theory' model to the … the determinants of mortgage default across five European countries, using a large dataset of over 2.3 million active … mortgage loans originated between 1991 and 2013 across over 150 banks. The analysis finds support for both elements of the …