Rent Control and the Price-Ceiling Misconception

The misconception is that a legal maximum is the same as a market outcome: students treat the ceiling as setting the price rather than as creating a gap between quantity demanded and quantity supplied. Question 1: "At $1,000, how many units do renters want, and how many do landlords offer?" Students read the graph and find a shortage. Question 2: "Who gets the units that are still rented, and how might landlords decide?" This surfaces non-price rationing, waiting lists, and discrimination, which connects to the intended benefit. Question 3: "What would we need to observe to know whether the policy helped the tenants it was meant to help?" This moves from the model to evidence and prevents the lesson from ending at "shortage means failure." The sequence starts with the mechanism, then distribution, then evidence, which is the order in which the reasoning actually develops.

I would give a new graph, a price ceiling on a different good, with different numbers, and ask three short parts: mark the quantity demanded and supplied at the ceiling; predict one likely non-price response by sellers; and name one group the policy intends to help and one group it may unintentionally harm. This transfers the mechanism instead of recalling the rent-control example. A strong answer identifies the shortage, predicts a response such as reduced maintenance or conversion to other uses, and names low-income tenants as intended beneficiaries while noting that renters who cannot find a unit may be harmed. A weak answer says only that the price is lower. I would also include one sentence asking students to explain why a city might adopt the policy anyway, so the normative question is not collapsed into the positive analysis.

I would separate the model's prediction from the empirical and normative debate. The supply-and-demand model predicts a shortage at a binding ceiling; that is a conditional prediction, not a finding that every rent-control policy fails. I would present two short, opposed evidence claims: one study finding reduced rental supply over time in a specific city, and one finding that tenants in covered units experienced more stability. Students would identify what differs: the city, the time period, whether the policy covered new construction, and what outcome was measured. Then I would ask why reasonable economists might weigh tenant stability against supply differently. The goal is for students to see the model as one tool with assumptions, and to recognize that policy disagreement often comes from different weights on outcomes, not from ignorance of the graph.