University of Bonn
Institutional Affiliation: Université de Lausanne
Information about this author at RePEc
NBER Working Papers and Publications
|April 2010||Reducing Foreclosures: No Easy Answers|
with , ,
in NBER Macroeconomics Annual 2009, Volume 24, Daron Acemoglu, Kenneth Rogoff and Michael Woodford, editors
|June 2009||Reducing Foreclosures: No Easy Answers|
with , , : w15063
This paper takes a skeptical look at a leading argument about what is causing the foreclosure crisis and distills some potential lessons for policy. We use an economic model to focus on two key decisions: the borrower's choice to default on a mortgage and the lender's subsequent choice whether to renegotiate or "modify" the loan. The theoretical model and econometric analysis illustrate that "unaffordable" loans, defined as those with high mortgage payments relative to income at origination, are unlikely to be the main reason that borrowers decide to default. In addition, this paper provides theoretical results and empirical evidence supporting the hypothesis that the efficiency of foreclosure for investors is a more plausible explanation for the low number of modifications to date than co...
- Acemoglu, Daron, Kenneth Rogoff, and Michael Woodford (eds.) NBER Macroeconomics Annual 2009, Volume 24. Chicago: University of Chicago Press, 2010.
- Christopher Foote & Kristopher Gerardi & Lorenz Goette & Paul Willen, 2010. "Reducing Foreclosures: No Easy Answers," NBER Macroeconomics Annual, vol 24(1), pages 89-138.
|October 2008||Using Behavioral Economic Field Experiments at a Firm: The Context and Design of the Truckers and Turnover Project|
with , , , ,
in The Analysis of Firms and Employees: Quantitative and Qualitative Approaches, Stefan Bender, Julia Lane, Kathryn Shaw, Fredrik Andersson, and Till von Wachter, editors
|March 2007||Using Behavioral Economic Field Experiments at a Large Motor Carrier: The Context and Design of the Truckers and Turnover Project|
with , , , , : w12976
The Truckers and Turnover Project is a statistical case study of a single firm and its employees which matches proprietary personnel and operational data to new data collected by the researchers to create a two-year panel study of a large subset of new hires. The project's most distinctive innovation is the data collection process which combines traditional survey instruments with behavioral economics experiments. The survey data include information on demographics, risk and loss aversion, time preference, planning, non-verbal IQ, and the MPQ personality profile. The data collected by behavioral economics experiments include risk and loss aversion, time preferences (discount rates), backward induction, patience, and the preference for cooperation in a social dilemma setting. Subjects w...