Detecting Mortgage Delinquencies
Economic 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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- Nikolaos Askitas & Klaus F. Zimmermann, 2009.
"Google Econometrics and Unemployment Forecasting,"
Applied Economics Quarterly (formerly: Konjunkturpolitik),
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- Askitas, Nikos & Zimmermann, Klaus F., 2009. "Google Econometrics and Unemployment Forecasting," IZA Discussion Papers 4201, Institute for the Study of Labor (IZA).
- Nikos Askitas & Klaus F. Zimmermann, 2009. "Google Econometrics and Unemployment Forecasting," Discussion Papers of DIW Berlin 899, DIW Berlin, German Institute for Economic Research.
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- Askitas, Nikos & Zimmermann, Klaus F., 2011. "Health and Well-Being in the Crisis," IZA Discussion Papers 5601, Institute for the Study of Labor (IZA).
- Capozza, Dennis R. & Order, Robert Van, 2011. "The great surge in mortgage defaults 2006-2009: The comparative roles of economic conditions, underwriting and moral hazard," Journal of Housing Economics, Elsevier, vol. 20(2), pages 141-151, June.
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