Paper: arXiv 2503.15532

Authors: Sean Kouma, William Edds

Abstract

With costs and risks increasing for investors and home buyers alike, additional analysis of the housing market is required to help individuals make the right choice. In addition to traditional market analysis, other aspects such as the economic vulnerabilities of the local community must be taken into account to further ensure real estate buyers receive a positive return on investment from their purchases as well as ensuring that traditional home owners get the best price for their future home.

Complexity vs Empirical Score

  • Math Complexity: 1.5/10
  • Empirical Rigor: 3.0/10
  • Quadrant: Philosophers — conceptual discussion, limited math and data

Why this score: The paper presents a simple heuristics-based spatial scoring model by combining Redfin growth metrics with the CDC’s Social Vulnerability Index (SVI). Math complexity is minimal (basic linear normalization and weighted averages), and empirical rigor is very low as the authors candidly note a lack of predictive benchmarking and find negligible correlation (0.126) between their key variables.

Research Flowchart

  flowchart TD
    A[Research Goal: Optimize Real Estate ROI & Homebuyer Value] --> B[Data Inputs: Housing Market Data & Local Economic Vulnerabilities]
    B --> C[Methodology: Integrate Traditional Market Analysis with Community Risk Factors]
    C --> D[Computational Process: Multi-Criteria Real Estate & Economic Risk Modeling]
    D --> E[Outcomes: Enhanced Investment Risk Assessment & Optimized Purchasing Decisions]

Cited References (9)

  1. COVID-19’s impact on real estate markets: review and outlook (2021) — link
  2. Real Estate Investors Pull Back, Buying 45% Fewer Homes Than a Year Ago (2023)
  3. Analysis (2012) — link
  4. Average American Inheritance, By Wealth Level
  5. How did COVID affect the housing market? 2023
  6. Portfolios Across the U.S. Wealth Distribution
  7. 30 Inspiring Real Estate Quotes That Will Change Your Life
  8. Housing Crash Index
and 1 more
  1. Housing Data

0 of 9 cited works are in the corpus; resolved via arXiv source bundles, Semantic Scholar and OpenAlex. Corpus-wide: 2518 linked papers.