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GCCP Publications

Research papers and publications utilizing the GCCP dataset for inspiration and examples.

Research Publications

Here is a comprehensive list of publications that have utilized the GCCP dataset. These research papers demonstrate the diverse applications and valuable insights that can be derived from our consumer credit panel data.

Published Research

Journal Publications

Fonseca J.

"Less Mainstream Credit, More Payday Borrowing? Evidence from Debt Collection Restrictions" (2023)

Journal of Finance, 78: 63-103

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Working Papers

Fonseca J. and Lui L.

"Mortgage Lock-In, Mobility, and Labor Reallocation" (June, 2024)

Working paper

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Hardiman A.

"The Effect of Public Health Insurance on Individual Consumption: Evidence from Medicaid Expansion" (April 8, 2024)

Working paper

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Howard G. and Shao H.

"The Dynamics of Internal Migration: A New Fact and its Implications" (September 15, 2023)

Working paper

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Bhardwaj S. and Tabak D.

"Effect of Redetermination of Safety-net on Financial Distress and Local Crime: Evidence from Indiana" (October 12, 2023)

Working paper

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Xie S., Xie V.W. and Zhang X.

"Extreme weather and low-income household finance: Evidence from payday loans." (January 8, 2024)

Bank of Canada Working paper

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Correia F., Han P. and Wang J.

"The Online Payday Loan Premium" (March, 2024)

Working paper

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Mabille P, Liu L and Fonseca J.

"Unlocking Mortgage Lock-In: Evidence from a Spatial Housing Ladder Model" (June 21, 2024)

Working paper

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Wang J. and Fonseca J.

"How Much do Small Businesses Rely on Personal Credit?" (2024)

Working paper

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Research Guides & Resources

Gibbs C., Guttman-Kenney B., Lee D., Nelson S., van der Klaauw W. and Wang J.

"Consumer Credit Reporting Data" (2023)

Acknowledgements

If you use this dataset in your research, please acknowledge the GCCP dataset via DSRS. Email us for any queries or to share your publication with us.

Special Recognition: The College thanks Jialan Wang and Julia Fonseca for their lead architect roles for the college’s curation of its GCCP dataset and suggests that authors who use GCCP data acknowledge their roles.

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