This report sheds additional light on the impact and aftermath of Hurricane Katrina and the storms of 2005 on individuals, businesses, and communities of the Gulf Coast, using datasets previously not used for such purposes.
A follow-up to PERC’s ground-breaking report on alternative data, this study examines the long-term effects of using non-traditional data in credit files using quantitative analysis.
This white-paper, produced for the Asia-Pacific Credit Coalition, outlines recent developments in the economic impact of information sharing in consumer credit markets.
The first PERC survey of small businesses in New Orleans and other FEMA-declared disaster areas in the wake of the 2005 hurricanes finds disparate impacts among different segments of business owners. The results also yield insights into the efficacy of existing recovery policy, and identify policy shortcomings and unmet needs.
This study examines the uses of provider-identifiable data within the US healthcare system with particular emphasis on the impact of the commercial use of this data on the market for prescription drugs. Impacts on market structure, the operation of the market, and other non-economic variables are also addressed. Additionally, the study explores the role of these data in regulatory compliance and public research.
The study compares the fragmented Japanese consumer credit reporting regime with a hypothetical comprehensive one. Impacts of the varying regimes — each with different types and amounts of payment information available to creditors — upon access to credit and default rates, growth in lending to the private sector and overall economic growth are examined.
PERC’s landmark study on bringing the estimated 35 to 54 million Americans outside the mainstream credit system into the credit fold, Give Credit Where Credit Is Due offers feasible market solutions involving “alternative” or non-traditional payment data, such as payment obligations such as rent, gas, electric, insurance, and other recurring obligations, to evaluate the risk profile of a potential borrower.