Explore the words cloud of the ICC project. It provides you a very rough idea of what is the project "ICC" about.
The following table provides information about the project.
LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE
|Coordinator Country||United Kingdom [UK]|
|Total cost||1˙017˙851 €|
|EC max contribution||1˙017˙851 € (100%)|
1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
|Duration (year-month-day)||from 2018-08-01 to 2021-07-31|
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|1||LONDON SCHOOL OF ECONOMICS AND POLITICAL SCIENCE||UK (LONDON)||coordinator||1˙017˙851.00|
Whether (and why) the market for consumer credit is inefficient is still an open question with important implications for household well-being. The research in this proposal will study sources of inefficiencies in two burgeoning consumer credit institutions: high-cost credit and on-line marketplaces. Each institution serves borrowers on opposite ends of the wealth and credit risk spectrum. Thus, they provide an ideal laboratory for studying the wide range of economic frictions that shape the access and price of credit for households. Despite growing attention from academics and severe scrutiny by policymakers, the economic and social impact of both institutions are yet not well understood.
The first stream of projects in the proposal is aimed at providing new evidence on the trade-offs involved in the use of high-cost credit. High-cost credit, such as Payday loans, is often the only source of funding for poor households. Alleviating liquidity shortages with high-cost credit may have negative long term consequences for financial health, an effect often attributed to borrower self-control problems. In the first project of the stream I use data from a Payday lender in the U.K. to explore a new channel for this effect—reputation—that does not rely on borrower irrationality. The second project combines data from 21 police forces in the U.K. to evaluate the social consequences of high-cost credit through the lens of criminal behavior.
The second stream of projects characterizes previously unexplored sources of adverse selection in credit markets, with substantive positive and normative implications. Using data from the largest on-line marketplace in the U.S., I aim to demonstrate how asymmetric information distorts maturity choice, and how information gathering by the lender can drive away low-risk borrowers. The final project of this stream will use previously unavailable data to produce the first comprehensive characterization of on-line credit marketplaces worldwide.
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The information about "ICC" are provided by the European Opendata Portal: CORDIS opendata.