Foreclosure starts on loans made between 2004 and 2007 in Sioux Falls, South Dakota, are examined using a combination of local and Home Mortgage Disclosure Act (HMDA) data, expanding on previous research restricted to a single year’s loans using an alternative meth-odology. Specifically, foreclosed loans are identified from local lis pendens records, and loans are matched with corresponding records in the HMDA database to provide borrower and loan characteristics for further analysis. The research employs limited dependent variable models to assess the effect of loan, demographic, and neighborhood characteristics on the likelihood of foreclosure. Key loan characteristics such as subprime interest rate, loan-to-value ratio, and additional lo...
Abstract: Using a rich database of non-prime mortgages from New York City, we find that census tract...
Since February 2010, detailed information on every home mortgage default and foreclosure in New York...
Abstract: We use a detailed dataset of seriously delinquent mortgages to examine the dynamic process...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
Employing Home Mortgage Disclosure Act data on loan originations from 2004 – 2010 and 2010 New York ...
Employing Home Mortgage Disclosure Act data on loan originations from 2004 – 2010 and 2010 New York ...
The purpose of this study was to develop a conceptual model that could be used to aid in identifying...
Since February 2010, detailed information on every home mortgage default and foreclosure in New York...
The effects of individual and neighborhood characteristics on relative FHA-insured mortgage applicat...
Abstract: Using a rich database of non-prime mortgages from New York City, we find that census tract...
Since February 2010, detailed information on every home mortgage default and foreclosure in New York...
Abstract: We use a detailed dataset of seriously delinquent mortgages to examine the dynamic process...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
The study identifies which household factors contribute to the likelihood of foreclosure by respondi...
Employing Home Mortgage Disclosure Act data on loan originations from 2004 – 2010 and 2010 New York ...
Employing Home Mortgage Disclosure Act data on loan originations from 2004 – 2010 and 2010 New York ...
The purpose of this study was to develop a conceptual model that could be used to aid in identifying...
Since February 2010, detailed information on every home mortgage default and foreclosure in New York...
The effects of individual and neighborhood characteristics on relative FHA-insured mortgage applicat...
Abstract: Using a rich database of non-prime mortgages from New York City, we find that census tract...
Since February 2010, detailed information on every home mortgage default and foreclosure in New York...
Abstract: We use a detailed dataset of seriously delinquent mortgages to examine the dynamic process...