Replication data for: Modeling the Revolving Revolution: The Debt Collection Channel
Principal Investigator(s): View help for Principal Investigator(s) Lukasz A. Drozd; Ricardo Serrano-Padial
Version: View help for Version V1
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text/plain | 14.6 KB | 12/06/2019 11:59:AM |
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application/pdf | 131 KB | 12/06/2019 11:59:AM |
Project Citation:
Drozd, Lukasz A., and Serrano-Padial, Ricardo. Replication data for: Modeling the Revolving Revolution: The Debt Collection Channel. Nashville, TN: American Economic Association [publisher], 2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-06. https://doi.org/10.3886/E116148V1
Project Description
Summary:
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We investigate the role of information technology (IT) in the collection of delinquent consumer debt. We argue that the widespread adoption of IT by the debt collection industry in the 1990s contributed to the observed expansion of unsecured risky lending such as credit cards. Our model stresses the importance of delinquency and private information about borrower solvency. The prevalence of delinquency implies that the costs of debt collection must be borne by lenders to sustain incentives to repay debt. IT mitigates informational asymmetries, allowing lenders to concentrate collection efforts on delinquent borrowers who are more likely to repay.
Scope of Project
JEL Classification:
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D14 Household Saving; Personal Finance
D82 Asymmetric and Private Information; Mechanism Design
G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages
L84 Personal, Professional, and Business Services
M15 IT Management
O33 Technological Change: Choices and Consequences; Diffusion Processes
D14 Household Saving; Personal Finance
D82 Asymmetric and Private Information; Mechanism Design
G21 Banks; Depository Institutions; Micro Finance Institutions; Mortgages
L84 Personal, Professional, and Business Services
M15 IT Management
O33 Technological Change: Choices and Consequences; Diffusion Processes
Geographic Coverage:
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United States
Universe:
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All households in the US.
Data Type(s):
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other:;
aggregate data
Methodology
Data Source:
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Experian, The Board of Governors of the Federal Reserve System.
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