The Consequences of Prohibiting Credit Inquiry Data in Chilean Credit Files
NCLC Supports the “3 Ps” of Lending: Pawn Shops, Predatory Lenders and Pay Day Lenders
Credit Reporting Customer Payment Data
This study examines the impact and benefits that accrue to consumers, lenders, and utilities and telecommunications firms when telecoms and utilities report customer payment information to credit bureaus.
New to Credit from Alternative Data
Roadmap to Reform: Lessons from around the world to guide consumer credit reporting reform in Australia
You Score You Win: The Consequences of Giving Credit Where Credit is Due
Give Credit Where Credit is Due: Increasing Access to Affordable Mainstream Credit Using Alternative Data
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.
Giving Underserved Consumers Better Access to the Credit System: The Promise of Non-traditional Data
PERC’s initial study on alternative data, Giving Underserved Consumers Better Access to the Credit System examines the likely win-win outcome if non-traditional data is included in credit files.
Asia-Pacific Credit Coalition
APCC is a PERC-managed coalition of organizations committed to promoting a regional standard for full-file, comprehensive consumer credit reporting to private credit bureaus within the twenty-one Asia-Pacific Economic Cooperation (APEC) member economies. Please visit PERC's coalition for credit standards in the APEC region, the Asia-Pacific Credit Coalition
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The report offers a broad overview of PERC research on alternative data, specifically focusing on the new to credit consumer population and how their ability to obtain credit is increased through the reporting of alternative data.



