iGMS Measures the Real Impact of New York's Short-Term Rental Law, Finding Supply 80% Below Where It Would Otherwise Be

iGMS released a study assessing New York City’s Local Law 18 against a modeled counterfactual based on eight U.S. counties without new rules, using data through May 2026. The article says Airbnb reported New York listings fell more than 90%, while AirDNA measured an 83% decline in the law’s first year; the excerpt does not provide the study’s broader findings.

Analysis

The investable question is not the reported listing decline itself, but how much stays and economics were displaced versus removed from the market. The supplied excerpt does not include the study’s modeled estimate or its outcome measures, so it is insufficient to establish a demand or earnings impact for Airbnb (ABNB). A listing count is not equivalent to bookings, nights, or revenue: demand may have shifted to hotels, compliant rentals, or nearby markets. If demand persisted while legal supply contracted, compliant operators and hotels could gain occupancy or pricing power; if travelers substituted away from New York, the effect would be more negative for local lodging demand. For ABNB, this is a city-level regulatory signal, not evidence by itself of a material consolidated earnings change. The broader risk is precedent: clear enforcement and demonstrable housing-policy results could encourage other cities to tighten rules, increasing compliance costs and uncertainty across short-term-rental markets. Near term, sentiment may react to the study’s headline; over 1–3 months, track the full counterfactual results and hotel/short-term-rental demand indicators. Over 6–18 months, replication by other jurisdictions matters more than the New York listing figure. Contrarian point: a sharp supply decline can overstate lost platform demand if listings were inactive, shifted channels, or demand migrated to other accommodation types.

Key Decisions for Investors

• No trade from this excerpt alone. Obtain the full study before changing ABNB exposure; verify the modeled counterfactual, metric definitions, post-law time window, and whether the result measures listings, bookings, nights, or host revenue.
• Watch for evidence of demand displacement: New York hotel occupancy and room-rate trends, lodging demand, and short-term-rental activity in nearby markets. Persistent demand alongside constrained legal supply would support a relative-benefit thesis for compliant lodging, but does not yet justify a hotel-versus-ABNB position.
• Treat the 1–3 month catalyst as regulatory replication, not this single-city estimate: monitor proposed or enacted restrictions in other major markets and ABNB commentary on regulatory/compliance costs. Broader adoption would strengthen the negative platform-risk thesis.
• Falsification: the concern diminishes if the study shows little change in completed stays or host economics versus its control group and there is no broader regulatory follow-through; it strengthens if independent booking data show sustained demand loss or multiple cities adopt enforceable restrictions.