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Algorithmic Pricing – A Convenient Scapegoat for Rising Rents?

19 February 2025

On January 30, 2022, ProPublica, an non-profit news organization, published an article alleging the real estate industry was engaging in price fixing when setting residential apartment rents.  The report highlighted how RealPage’s YieldStar rent application facilitated data mining and the sharing of market information—potentially including insider data—which could be seen as price fixing. This process, referred to as algorithmic pricing, has since led to lawsuits, with most of the largest landlords now facing lawsuits from the US Department of Justice In response, several states are enacting laws to ban the use of algorithmic pricing.

This issue doesn’t stop at the border. In a recent Globe and Mail article, it was reported that Canada’s Competition Bureau is investigating whether landlords are using algorithmic pricing to set rents. The NDP first called for an inquiry last October, and while the House of Commons human resources committee did not pass their motion, Minister François-Philippe Champagne later indicated that he would formally request the Competition Bureau to investigate the practice.

On Monday, Liberal leadership candidate Chrystia Freeland pledged to ban the practice of using AI to track market trends and artificially raise rents. There is speculation that this stance is aimed at her leadership rival, Mark Carney, who was until recently chair of the Brookfield Asset Management. Three Brookfield subsidiaries are named as defendants in a US lawsuit.

RealPage software is widely used by large landlords, which have historically monitored competitor rents through platforms like Craigslist, Apartment.com, Zillow, Rentals.ca, and local news sites. They have also conducted in-person visits to apartment complexes to assess occupancy and tenant satisfaction. RealPage has streamlined this process, reducing costs and improving the quality of market analysis.

To prove price fixing, the Competition Bureau would need to demonstrate that rents remain “sticky” even when demand weakens. According to Rentals.ca, the decline in rents last year was mainly concentrated in Ontario, where average asking rents for apartments fell 4.7 per cent to $2,332. This followed a 3.7 per cent increase in apartment rents in Ontario during 2023. Naturally, rents vary based on location, apartment type and quality.

Another key question is whether RealPage provides landlords with proprietary data that could not otherwise be determined using publicly available market information and research.

If landlords are deemed guilty of using modern data-mining methods, then the same could be said for much of the travel industry—including hotels and airlines—the entertainment industry, e-commerce platforms, retailers, electricity providers, and ride sharing services. Many of these industries wield as much, if not more, market power than even the largest landlords. Dynamic or algorithmic pricing takes many forms, from time-of-day and competitor-based pricing to bulk discounts, bundling, value-based pricing, and segmented pricing strategies.

Thomas Sowell once said, “The first lesson of economics is scarcity: There is never enough of anything to satisfy all those who want it. The first lesson of politics is to disregard the first lesson of economics.” In a market already struggling with supply shortages, it is hardly surprising that we saw asking rents rise during a period of high inflation and ballooning demand driven by record immigration. However, we have also seen falling rents as a result of recent market dynamics. To me, the focus on algorithmic pricing as the culprit for high rents is a way for politicians to deflect attention from their slow response to the housing affordability crisis.

 

Independent Opinion

The views and opinions expressed in this publication are solely and independently those of the author and do not necessarily reflect the views and opinions of any person or organization in any way affiliated with the author including, without limitation, any current or past employers of the author. While reasonable effort was taken to ensure the information and analysis in this publication is accurate, it has been prepared solely for general informational purposes. Any opinions, projections, or forward-looking statements expressed herein are solely those of the author. There are no warranties or representations being provided with respect to the accuracy and completeness of the content in this publication. Nothing in this publication should be construed as providing professional advice including investment advice on the matters discussed. The author does not assume any liability arising from any form of reliance on this publication. Readers are cautioned to always seek independent professional advice from a qualified professional before making any investment decisions.

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