Housing Affordability Policies
Paper Session
Saturday, Jan. 3, 2026 10:15 AM - 12:15 PM (EST)
- Chair: Kyle Mangum, Federal Reserve Bank of Philadelphia
Housing Vouchers and Neighborhood Effects: Can Expanding Access to Opportunity Pay for Itself?
Abstract
This paper studies the impact of Small Area Fair Market Rents (SAFMR), a major reform to the voucher program that adjusts rent ceilings to a finer ZIP-code level variation, on voucher households' neighborhood and economic outcomes, and their interaction with the fiscal and non-fiscal components of program operation. Using a difference-in-differences design, I find that SAFMR improved voucher holders' relocation to higher-rent, lower-poverty neighborhoods. These effects were especially pronounced in metropolitan areas with high levels of residential segregation. Consistent with the neighborhood effects literature, relocation to high-opportunity neighborhoods increased household income and rent contributions, contributing to declines in federal spending per voucher. However, the reform did not expand program reach. Long-run evidence from the first SAFMR adopter shows that federal per-unit costs eventually rose as the number of subsidized households in high-rent areas outweighed the income-driven savings, resulting in a contraction in the number of households served. These findings highlight a key trade-off: while SAFMR generates fiscal efficiencies in the short run, its long-term financial sustainability remains uncertain under a fixed program budget.Housing Assignment with Endogenous Supply: Theory and Application to Rent Control
Abstract
We analyze how rent control affects the rent and quality distributions of uncontrolled housing using novel assignment-model frameworks with endogenous supply. Unlike prior models, we endogenize the housing quality distribution by incorporating both developer construction and costly landlord adjustments to existing stock. We first analytically show in a discrete-quality model that rent regulation may have opposite impacts on uncontrolled rents across the quality distribution. A continuous-quality model is then characterized by numerically solving integro-differential equations. We calibrate the model to data from Hong Kong to assess the impact of rigid public housing rents on the private housing sector. We find that rigid public housing rents increased the rents of uncontrolled low-quality housing and worsened the proliferation of tiny subdivided units.Insights from a Pilot Principal Poverty Measure
Abstract
While urban economists have not traditionally studied poverty measurement, choices about how to incorporate housing costs, geographic disparities in those costs, and implicit rental income have critical implications for the distribution of poverty rates across regions and sub-populations. This paper tests a new approach to incorporating housing, health and food into a poverty measure. Specifically, it implements a pilot version of the Principal Poverty Measure (PPM), a revision of the Census Bureau’s Supplemental Poverty Measure (SPM) recommended by a 2023 NAS consensus study. Our pilot PPM threshold (poverty line) uses policy-based needs standards, including Fair Market Rents from HUD. PPM resources include cash income from all sources, in-kind benefits such as public or private health insurance, rental assistance, and, for homeowners, an implicit resource flow from homeownership.We find key differences with the SPM. First, the inclusion of implicit rent reduces the PPM rate for homeowners relative to renters. Second, because the PPM housing needs incorporate housing-specific economies of scale, the PPM raises the housing needs of smaller households relative to larger households. Further, the PPM estimates that housing assistance delivers relatively greater benefits for smaller renter households, suggesting that housing assistance does more to reduce poverty for smaller households.
Discussant(s)
Betty Wang
,
University of Hong Kong
Eunjee Kwon
,
University of Cincinnati
Marco Giacoletti
,
University of Notre Dame
Jorge De la Roca
,
University of Southern California
JEL Classifications
- R2 - Household Analysis