Detecting Mortgage Delinquencies
AbstractEconomic hardship is strongly reflected by the housing market. It is the concern of much research, but its analysis is often obstructed by insufficient lagged data. This paper evaluates search intensity for "hardship letter" from Google Insights to detect ensuing mortgage delinquencies. Such searches locate documents which assist to write a successful loan modification request. Other relevant searches for "short sale", "REO" (as in Real Estate Owned) or "FHA" (as in Federal Housing Administration) are used to provide a comprehensive view of the housing market. Using data from the great recession and benchmarking them against data from the labor market, the paper demonstrates that internet activity captures socioeconomic phenomena in real time very well, with no interviewer effect at a high frequency. This suggests that the new data base should spur new housing research.
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Bibliographic InfoPaper provided by Institute for the Study of Labor (IZA) in its series IZA Discussion Papers with number 5895.
Length: 16 pages
Date of creation: Jul 2011
Date of revision:
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Find related papers by JEL classification:
- C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
- E65 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Studies of Particular Policy Episodes
- G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
- R31 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Real Estate Markets, Spatial Production Analysis, and Firm Location - - - Housing Supply and Markets
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