Preprint Brief Report Version 1 Preserved in Portico This version is not peer-reviewed

Gender Disparities in Arkansas, and Income Disparities in the US for the PPP Loan Program

Version 1 : Received: 7 September 2023 / Approved: 8 September 2023 / Online: 11 September 2023 (09:39:16 CEST)

How to cite: Rafi, S. Gender Disparities in Arkansas, and Income Disparities in the US for the PPP Loan Program. Preprints 2023, 2023090654. https://doi.org/10.20944/preprints202309.0654.v1 Rafi, S. Gender Disparities in Arkansas, and Income Disparities in the US for the PPP Loan Program. Preprints 2023, 2023090654. https://doi.org/10.20944/preprints202309.0654.v1

Abstract

It is well known that the size of initial loans approved by private lending agencies (banks, credit unions etc.) corresponds with the median income of the location of the individual, it also corresponds with gender. We wanted to show if it was the case with the PPP. We use standard machine learning techniques such as Lasso and found statistically significant association between gender of business owner and size of initial loan approvals for the State of Arkansas, and Least Squares Regression and Decision Tree regression to find a somewhat tenuous relationship between median income and initial loan approval amount and finally a strong association with the size of business. This has important applications for the equity of access to credit for marginalized peoples.

Keywords

PPP Loans, Economic Disparity, Gender Disparity

Subject

Social Sciences, Geography, Planning and Development

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