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Related Experiment Video

Updated: Jan 20, 2026

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Subsidy Overlaps in Federal Housing Policy.

Gregg Colburn1, Arthur Acolin1, Rebecca Walter1

  • 1College of Built Environments, University of Washington, Seattle, WA, USA.

Housing Policy Debate
|January 19, 2026
PubMed
Summary
This summary is machine-generated.

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Federal housing programs like the Low-Income Housing Tax Credit (LIHTC) and rental assistance show significant, increasing overlap. This layering of housing supports has grown substantially over time, impacting policy discussions.

Area of Science:

  • Housing Policy
  • Urban Economics
  • Public Administration

Background:

  • Limited empirical data exists on the overlap between federal housing programs.
  • Understanding the layering of supply-side subsidies (e.g., Low-Income Housing Tax Credit - LIHTC) and demand-side rental assistance is crucial.
  • Knowledge gaps exist regarding how this overlap varies by time, geography, and market conditions.

Purpose of the Study:

  • To quantify the extent of overlap between LIHTC units and rental assistance recipients nationally over time.
  • To analyze trends in program layering from 2006 to 2018.
  • To inform federal low-income housing policy and resource allocation debates.

Main Methods:

  • Utilized administrative data from federal agencies and public housing authorities.
Keywords:
Low-income housingaffordabilitypolicy

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  • Calculated the percentage of rental assistance recipients in LIHTC units.
  • Determined the percentage of LIHTC units occupied by rental assistance recipients.
  • Counted LIHTC developments with at least one rental assistance recipient.
  • Main Results:

    • Significant overlap exists between LIHTC and rental assistance programs.
    • The level of program overlap has increased meaningfully over time.
    • The share of tenant-based rental assistance used in LIHTC units doubled between 2006 and 2018.

    Conclusions:

    • There is substantial and growing layering between LIHTC and rental assistance programs.
    • Current data collection needs improvement for a more accurate national picture.
    • Findings are critical for evidence-based federal housing policy and efficient allocation of housing supports.