Effects of Rent Control on Housing Dynamics

What are the effects of rent control policies on housing market dynamics and tenant stability?

Rent control policies yield mixed results, decreasing rents in controlled units by 4-47% and extending tenant stays by up to six years, while simultaneously reducing housing supply and increasing eviction filings, with effects varying by policy design and local market conditions.

Abstract

Rent control policies yield mixed effects on housing market dynamics and tenant stability. In regulated markets, studies report rent declines ranging from 4% to 47% in controlled units while some analyses note rent increases in uncontrolled or post‐decontrol sectors. In one San Francisco study, rents rose concurrently with a 15% reduction in housing supply and a 20% drop in tenant mobility. Other research documents tenants staying an extra six years under tighter regulation, although reports of 83–127% higher eviction filings suggest displacement risks in certain settings.

Separate analyses show shifts in market composition. For example, one study cited annual rent subsidies of about US$2440 (roughly 27% of income), and another observed reduced racial disparities accompanied by increased minority presence. These findings, based on quasi‐experimental and econometric approaches across diverse jurisdictions, indicate that the impacts of rent control vary with policy design and local market conditions.

Methods

We analyzed 40 sources from an initial pool of 989, using 8 screening criteria. Each paper was reviewed for 5 key aspects that mattered most to the research question.

• Papers identified with Elicit search
  n = 989
• Papers screened using: Intervention Type, Outcome Measures, Study Design, Geographic Context, Public/Social Housing Focus, Housing Voucher/Assistance Focus, Empirical Data, Comparison Groups
  n = 989
• Papers screened out
  n = 949
• Papers included for extraction
  n = 40

Paper search

Using your research question "What are the effects of rent control policies on housing market dynamics and tenant stability?", we searched across over 126 million academic papers from the Semantic Scholar corpus. We retrieved the 989 papers most relevant to the query.

Screening

We screened in sources based on their abstracts that met these criteria:

• Intervention Type: Does this study examine rent control, rent stabilization, or rent regulation policies?
• Outcome Measures: Does this study measure at least one of the following: housing market outcomes (rental supply, housing prices, construction rates, property maintenance, market competition) OR tenant stability outcomes (residential mobility, displacement rates, tenure length, eviction rates, housing security)?
• Study Design: Is this study one of the following: randomized controlled trial, quasi-experimental design, natural experiment, longitudinal study, cross-sectional study with comparison groups, systematic review, or meta-analysis?
• Geographic Context: Was this study conducted in urban or metropolitan areas with rental housing markets?
• Public/Social Housing Focus: Is this study NOT focused solely on public housing or social housing programs without rent control components?
• Housing Voucher/Assistance Focus: Is this study NOT examining only housing voucher or rental assistance programs without rent regulation?
• Empirical Data: Is this study NOT purely theoretical or modeling without empirical data?
• Comparison Groups: Is this study NOT a case study or descriptive study without comparison groups or control conditions?

We considered all screening questions together and made a holistic judgment about whether to screen in each paper.

Data extraction

We asked a large language model to extract each data column below from each paper.

• Study Design Type: Identify the primary research design used in the study. Possible design types include:
  • Difference-in-differences
  • Quasi-experimental
  • Empirical analysis
  • Econometric study
  • Cross-sectional analysis
• Geographic Setting and Context: Extract the specific geographic location(s) where the study was conducted. Include:
  • Country
  • City/metropolitan area
  • Specific neighborhoods or regions (if applicable)
• Rent Control Policy Details: Extract comprehensive details about the rent control policy:
  • Year of policy implementation
  • Specific type of rent control (first-generation, second-generation, etc.)
  • Key policy mechanisms (e.g., price caps, exemptions)
  • Scope of application (which housing units are covered)
• Policy Impact Outcomes: Identify and extract the specific outcomes measured related to rent control policy:
  • Rental prices (regulated and unregulated sectors)
  • Housing supply
  • Land values
  • Maintenance investments
  • Tenant stability
  • Demolition rates
  • Housing market dynamics
• Key Quantitative Findings: Extract the primary quantitative results, focusing on:
  • Magnitude of effects
  • Statistical significance
  • Confidence intervals or standard errors (if provided)
  • Directional impact of rent control policy

Results

Characteristics of Included Studies

Across 40 studies of rent control policies, the following patterns were observed:

Primary Outcomes Measured:

• Rental prices: Measured in 25 studies.
• Housing supply (including new construction and conversions): Measured in 20 studies.
• Tenant stability (including tenure duration, mobility, turnover, and displacement): Measured in 16 studies.
• Maintenance, quality, investment, or renovations: Measured in 9 studies.
• Evictions or eviction filings: Measured in 3 studies.
• Land values, property values, or wealth transfer: Measured in 5 studies.
• Vacancy rates: Measured in 2 studies.
• Market dynamics (including spillovers, misallocation, search/matching costs, and disequilibrium): Measured in 6 studies.
• Rent burden, rent discounts, or rent subsidy: Measured in 4 studies.
• Community composition or segregation: Measured in 2 studies.

Rent Control Policy Type:

• First-generation rent control: Studied in 7 studies.
• Second-generation rent control: Studied in 10 studies.
• Third-generation rent control: Studied in 1 study.
• Rent stabilization: Explicitly labeled in 3 studies.

Methodology:

• Quasi-experimental methods (including difference-in-differences, event study, regression discontinuity, interrupted time series, and triple difference): Used in 24 studies.

Effects

Effects on Housing Market Dynamics

• Increase in rents: Reported in 10 studies.
• Decrease in rents: Reported in 11 studies.
• Decrease in supply or construction: Found in 4 studies.
• Increase in tenant stability or tenure: Found in 2 studies.
• Increase in evictions or displacement: Found in 3 studies.

Outcomes Related to Tenant Stability and Demographics

• Statistical significance: Found in 9 studies, with available full texts or abstracts including explicit statements of significance.
• Decrease in mobility: Reported a 20% reduction, based on data from 1 study.
• Increase in tenure duration: Found as a +6 year increase, meaningful under certain conditions.

Neighborhood Segregation and Community Composition

• Increase in segregation: Found in 2 studies.
• Decrease in disparities: Noted in 1 study.

References

Notable papers:

1. Jordi Jofre-Monseny, et al. (2023)
2. Rebecca Diamond, et al. (2019)
3. David H. Autor, et al. (2012)

This report provides insights into the complexities surrounding rent control policies and their varied impacts on housing dynamics. Key findings emphasize the significance of policy design and local market conditions in shaping outcomes.