Complete Research Reference
The Research
Every major independent study on private listings vs. full MLS exposure — organized by type, with honest caveats where relevant. This is not a marketing page. Where the data favors private listings, that is noted too.
At a Glance
The Key Numbers
1.5–3.7%
Off-MLS price penalty vs. full market exposure
Zillow · 2.72M Transactions
$4,975
Median dollar loss per seller going private vs. MLS
Zillow Research · 2025
$1B+
Estimated total left on table by off-MLS sellers in 2023–24
Zillow Analysis
87%
Of private listings eventually come to the MLS anyway
Bright MLS Study
17.5%
MLS price premium in joint academic study (actual comparables)
Bright MLS / Drexel Univ.
37 vs 20
Days to contract: private listings vs. full MLS
Bright MLS Study
Zero
Statistically significant price advantage for office exclusives in 2025 study
Bright MLS 2025 (5,577 txns)
55%
Of Compass new listings started private or CS (Feb 2025)
Compass SEC 10-K Q4 2024
2020 Nobel
Paul Milgrom won the Nobel Prize for proving broader bidding pools maximize seller revenue
Royal Swedish Academy · 2020
Section 1 · Large-Scale Transaction Data
Real Estate Transaction Data
The largest empirical studies on actual residential sales. Conflict-of-interest notes included where relevant — which they are for most of these sources.
Real Estate Portal · Transaction Study
Zillow: MLS vs. Private Listing Sale Price Analysis
Zillow Research · 2025 · 2.72M transactions · 46 states
Off-MLS sellers received 1.5–3.7% less than comparable MLS-listed properties. Median loss: $4,975. California: $30,075 less. New York: $13,749 less. Total estimated: $1B+ left on the table in 2023–2024.
Conflict of interest: Zillow’s business model depends on MLS data flowing through its platform. Methodology note: uses Zillow’s own Zestimate as price benchmark, not actual comparable MLS sales. Direction consistent with independent research; specific dollar figures should include this caveat.
Academic · 1M+ Transactions · Mid-Atlantic
Bright MLS / Drexel University: On-MLS Study
Gillen, Schneider & Sturtevant · Drexel Lindy Institute · 2023
MLS-marketed homes commanded a 17.5% price premium over non-MLS properties. In 2022: $53,890 more on average across the Bright MLS service area; $61,170 more in the D.C. metro specifically. Stronger methodology than Zillow — uses actual comparable transaction data, not a pricing model.
Conflict of interest: Bright MLS has a financial stake in demonstrating MLS value. The Drexel University partnership provides academic independence on methodology. Geographic scope limited to Mid-Atlantic region.
Academic · 5,577 Transactions · 2025
Bright MLS: Office Exclusives — No Price Advantage (2025)
Bright MLS Research · September 2024–February 2025 data
Focused specifically on office exclusives. After controlling for property characteristics and location: no statistically significant price advantage. Coefficient for office exclusive status: $4,169 with p-value of 0.644 — statistically indistinguishable from zero. Pre-marketing as an office exclusive also did not speed time to sale.
Government Data · Annual Survey
NAR Profile of Home Buyers and Sellers — FSBO Data
National Association of Realtors · 2025 Profile
Median FSBO sale price: $360,000 vs. $425,000 for agent-assisted sales — agent-assisted homes sold for 18% more. FSBO share at an all-time low of 5% of all sales. Directly applicable to “Company FSBO” private listing strategies where one brokerage’s buyer pool substitutes for the open market.
Conflict of interest: NAR is a trade organization whose members are real estate agents. The organization has a structural interest in data showing agent-assisted sales outperform FSBOs.
SEC Filing · Legally Required Disclosure
Compass Q4 2024 Form 10-K Annual Report
Compass, Inc. · SEC EDGAR · Filed February 2025
55% of all new Compass listings starting as Private Exclusive or Coming Soon as of February 2025. Approximately 340,000 Compass agents post-Anywhere acquisition. In some SF Bay Area counties, ~8% of all listings never reach the full MLS.
Government Data · U.S. Census Bureau
New Residential Sales — Builder Data
U.S. Census Bureau · census.gov/construction/nrs
Approximately 679,000 new homes sold by builders — virtually none through the MLS. This is the largest single category of off-MLS sales in the country, routinely ignored in CCP enforcement discussions. Documents the significant double standard in CCP policy.
Section 2 · Nobel Prize Economics
Auction Theory — The Nobel Prize Research
The economics of competitive bidding vs. private negotiation was settled decades before private listings became an industry debate. None of these researchers have any financial stake in real estate. They were studying markets and auctions across all industries. Their findings apply directly.
Peer-Reviewed · American Economic Review · 1996
Bulow & Klemperer — Auctions versus Negotiations
Jeremy Bulow (Stanford), Paul Klemperer (Oxford) · Am. Economic Review, Vol. 86, No. 1
Proved mathematically that a simple auction with N+1 bidders generates more revenue for the seller than the best possible optimally structured negotiation with N bidders. In plain language: one additional competing buyer is worth more than the world’s best negotiator facing a smaller pool. Replicated across multiple markets over nearly 30 years.
Nobel Prize · Econometrica · 1982 · 2020 Nobel in Economics
Milgrom & Weber — The Linkage Principle
Paul Milgrom (Stanford), Robert Weber · Econometrica, Vol. 50, No. 5 · Paul Milgrom received the 2020 Nobel Prize in Economics for related work on auction design
The Linkage Principle: when bidders’ valuations are affiliated (influenced by what other buyers are willing to pay), the seller maximizes revenue through full and open disclosure to the broadest possible pool of bidders. Homes are affiliated-value goods — buyers are influenced by what others will pay. The MLS creates the information environment this research proves maximizes seller revenue. Private listings create the opposite.
Peer-Reviewed · Journal of Finance · 2025
Hoffmann et al. — Auctions vs. Negotiations (2025 Update)
Hoffmann, F. et al. · Journal of Finance · 2025
Confirmed the Bulow-Klemperer mechanism remains valid: increasing competition generates higher expected revenue than even the most elaborate negotiation tactics, except in narrow conditions where payment structures are contingent or the asset is highly complex. Standard residential real estate does not fall within the exceptions.
Government Research · FTC Working Paper · 2000
Federal Trade Commission — Auctions vs. Multilateral Negotiations
FTC Working Paper No. 231 · Federal Trade Commission
Competitive formats consistently improved price discovery and consumer outcomes when assets were relatively standard and the buyer pool was broad. The bilateral negotiation result can approximate auction prices only when the private network already contains sufficiently many potential buyers. Most brokerage networks do not meet this threshold.
Section 3 · Second Nobel Prize
Information Asymmetry — Another Nobel Prize
Nobel Prize · Quarterly Journal of Economics · 1970 · 2001 Nobel
Akerlof — The Market for Lemons
George Akerlof · QJE, Vol. 84, No. 3 · 1970 · Nobel Prize in Economics 2001
When one party has significantly more or better information, it creates an imbalance of power that causes transactions to be inefficient. In a private listing: the seller and agent possess full information about the property, timeline, and acceptable price. The buyer negotiating in that private channel is informationally disadvantaged at every point. Private listings are structurally designed to maintain and exploit this asymmetry.
Nobel Prize · Economics · 2001
Akerlof, Spence & Stiglitz — Markets with Asymmetric Information
Royal Swedish Academy of Sciences · Nobel Memorial Prize in Economic Sciences · 2001
Three economists awarded the Nobel for analyses of markets with asymmetric information. Collective finding: markets where one party controls information systematically disadvantage the less-informed party and produce inefficient outcomes. Full public disclosure is the mechanism that corrects this asymmetry and produces efficient market prices. The MLS is the real estate market’s primary information disclosure mechanism.
Section 4 · Financial Economics
Market Fragmentation
Financial economics has studied market fragmentation across stock markets, bond markets, and commodities. The key finding: fragmentation helps when all venues are publicly accessible to all participants. It harms when fragmentation occurs through proprietary closed networks.
Peer-Reviewed · American Economic Review · 2021
Chen & Duffie — Market Fragmentation
Chen, D. and Duffie, D. (Stanford) · Am. Economic Review, Vol. 111, No. 7
Fragmentation across open, publicly accessible networks can improve allocative efficiency. But fragmentation through proprietary closed networks consistently harms price discovery and produces worse outcomes for less-informed participants. Zillow Preview (open, public) maps to the first category. Compass Private Exclusives map to the second.
Peer-Reviewed · Journal of Financial Economics · 2011
O’Hara & Ye — Is Market Fragmentation Harming Market Quality?
O’Hara, M. and Ye, M. · J. Financial Economics, Vol. 100, No. 3
Fragmentation improves execution quality when all venues are publicly accessible. But fragmentation through proprietary venues with information advantages harms market quality and produces worse outcomes. The key variable: public accessibility of all venues. This is the distinction between MLS Coming Soon (public) and Compass Private Exclusives (closed).
Section 5 · Behavioral Economics — Honest Note: This Supports Some Private Listing Arguments
Days-on-Market & Anchoring Effects
This is the category of independent research that provides the most legitimate academic support for some private listing arguments. The anchoring effect of days-on-market and public price reductions is real, documented, and replicated. It is presented honestly here.
Honest Acknowledgment
The behavioral economics literature on anchoring is one of the most replicated findings in consumer psychology. It maps directly onto the days-on-market concern. However: the literature recommends accurate pricing at launch as the remedy — not private marketing. A brief, properly structured Coming Soon phase has some narrow academic support as a pricing calibration step. Extended private marketing does not.
Peer-Reviewed · Science · 1974 · 2002 Nobel Prize
Tversky & Kahneman — Judgment under Uncertainty: Heuristics and Biases
Amos Tversky & Daniel Kahneman · Science, Vol. 185 · 1974 · Kahneman received the 2002 Nobel Prize
Established the anchoring effect: people are disproportionately influenced by the first piece of information they receive. In real estate: the initial list price and visible days-on-market serve as anchors. Buyers interpret public price reductions and extended DOM as signals of seller distress or property defect, even when neither is true.
Peer-Reviewed · OBHDP · 1987 — Real Estate Specific
Northcraft & Neale — Anchoring in Real Estate Pricing
Northcraft, G.B. and Neale, M.A. · Organizational Behavior and Human Decision Processes, Vol. 39, No. 1
One of the only anchoring studies conducted specifically in residential real estate. Both real estate agents and laypeople anchored significantly on list price when assessing property value. Agents were not immune — their estimates were meaningfully influenced by listing prices even when they believed they were unaffected.
Section 6 · Government & Peer-Reviewed Research
Fair Housing & Racial Equity
The racial equity dimension of private listings is one of the most significant and least-discussed aspects of this debate. No discriminatory intent is required — the mechanism is structural.
Government-Funded · HUD / Urban Institute · 2013
Housing Discrimination Against Racial and Ethnic Minorities 2012
Turner, M.A. et al. · U.S. Dept. of Housing and Urban Development · Urban Institute · 2013
Paired-testing across 28 major metropolitan areas. Black homebuyers were shown 17.7% fewer available homes than equally qualified white buyers even in fully advertised, publicly listed markets. Asian homebuyers were shown 19% fewer homes. If these disparities exist when listings are public, reducing the share of public listings can only amplify them.
Government Research · U.S. Treasury · 2022
Racial Differences in Economic Security: Housing
U.S. Department of the Treasury, Office of Economic Policy · 2022
The Black-white homeownership gap was the same in 2020 as it was in 1970 — two years after the Fair Housing Act was passed. Treasury concluded structural mechanisms, not overt discrimination, drive ongoing disparities. Private listing networks operate through agent social networks documented to be racially stratified.
Academic · City & Community · Sage Journals · 2023
Howell, Whitehead & Korver-Glenn — Still Separate and Unequal
Howell, J., Whitehead, E., and Korver-Glenn, E. · City & Community · Sage Journals · 2023
Real estate agent social networks are racially structured. When listings flow through agent networks rather than open public platforms, the racial composition of those networks determines who knows about what property. This is the mechanism by which private listings produce disparate outcomes without individual discriminatory intent.
Market Analysis · Zillow · 2025
Chicago Market: Private Listing Racial Disparity
Zillow Research · Chicago Market Data · 2025
Homes in majority-white neighborhoods were 2.2 times more likely to be listed on private networks than homes in other neighborhoods. First large-scale geographic analysis of where private listings appear by neighborhood demographic composition.
Single-market analysis using Zillow data. Disparity does not establish intent — the mechanism is structural network effects, not individual discrimination.
Section 7 · Peer-Reviewed Economics
Agent-Client Conflicts of Interest
Peer-Reviewed · American Economic Journal · 2017
Barwick, Pathak & Wong — Conflicts of Interest and Steering in Residential Brokerage
Barwick, P.J., Pathak, P.A. and Wong, M. · Am. Economic Journal: Applied Economics, Vol. 9, No. 3 · 2017
Used residential real estate transaction data to empirically document agent steering. Agents steer clients toward transactions that maximize agent compensation — including shorter time-on-market transactions that generate faster commission and dual-agency situations that double it. Private listings that enable dual-agency create exactly this incentive structure.
Peer-Reviewed · Real Estate Economics · 2023
Kryzanowski, Wu & Zhou — Conflicts of Interest in Buyer Brokerage
Kryzanowski, L., Wu, Y., and Zhou, T. · Real Estate Economics, Vol. 51, No. 1 · 2023
Documented that buyer’s agents do not always act in the best financial interest of their buyer clients when their interests diverge. Agents with higher potential compensation in certain transactions guided buyers toward those transactions. Directly applicable to private listing dual-agency scenarios.
Section 8 · Research Cited by Pro-Private-Listing Side — Analyzed Honestly
Research Cited For Private Listings
These studies are frequently cited by brokerages promoting private listing programs. Here is what each actually shows — including the caveats usually left out of the presentations.
Academic Preprint — NOT Peer-Reviewed
Hayunga — Private Listing Premiums Study (University of Georgia)
Hayunga, D. · SSRN Preprint 6359754 · University of Georgia · Dallas-Fort Worth · 700,000+ transactions over 20 years
Headline: private sales achieved approximately 1.7% higher price. The most frequently cited study in support of private listings. What the citation usually omits:
Problem 1: After CCP was implemented in 2020, the premium dropped to ~0.9% — statistically indistinguishable from zero. If private listings genuinely produced better prices independent of market structure, CCP implementation should not have eliminated the premium. It did.
Problem 2: Higher-end sellers were less likely to use private listings — the opposite of what you’d expect if they consistently outperformed.
Problem 3: Only successful private sales are measured (survivorship bias). Failed private listings that moved to MLS are counted as MLS sales.
Problem 4: Single market (DFW), 20-year boom period. Not generalizable.
Problem 5: Unreviewed preprint — not peer-reviewed. Should not be cited as settled academic authority.
Problem 2: Higher-end sellers were less likely to use private listings — the opposite of what you’d expect if they consistently outperformed.
Problem 3: Only successful private sales are measured (survivorship bias). Failed private listings that moved to MLS are counted as MLS sales.
Problem 4: Single market (DFW), 20-year boom period. Not generalizable.
Problem 5: Unreviewed preprint — not peer-reviewed. Should not be cited as settled academic authority.
Modeled Estimate — Conflict of Interest
Redfin/Rocket — 6–12% Inventory Increase Estimate
Redfin Economics Team · March 2026
Redfin economists estimated phased marketing could increase annual housing inventory by 6–12%, arguing seller uncertainty about pricing is a major reason homeowners stay on the sidelines.
This is a model, not a measurement. Redfin built it by estimating how many sellers would list if given a pre-market option, then applying a 1.6x downstream multiplier — both involving significant unverified assumptions. More critically: Redfin released this report exactly two weeks after announcing a commercial partnership with Compass in which Compass listings would appear on Redfin. This is research produced by a party with a direct financial interest in the conclusion it reached.
Internal Data — Not Independent Research
Compass Internal Performance Claims
Compass, Inc. · Internal Data · Various dates
Compass has periodically cited internal data suggesting its private listings perform comparably to or better than MLS listings in marketing and recruitment materials.
Self-reported, internally generated data from a company with a direct financial incentive to demonstrate its business model works. Not peer-reviewed. Comparison group not rigorously matched. A comparison is only honest if it measures private listing outcomes against every company, every agent, every buyer on the full MLS — not one company’s own internal benchmark.
Section 9 · Summary
What the Research Shows — The Honest Verdict
Where the evidence is strong, it is stated as strong. Where it is genuinely contested or inconclusive, that is stated too.
| Question | Evidence | Verdict |
|---|---|---|
| Does full MLS exposure produce better prices for most sellers? | Zillow (2.72M transactions), Bright MLS/Drexel (1M+), Bulow-Klemperer (Nobel), Milgrom-Weber (Nobel), FTC working paper — consistent across 30 years | Strong Yes |
| Do private listings produce a price premium? | Hayunga preprint found 1.7% premium pre-CCP, dropping to 0.9% (insignificant) after CCP. No peer-reviewed independent study confirms a premium under current conditions. | Not Supported |
| Do DOM and price reductions create harmful anchoring? | Tversky & Kahneman, Northcraft & Neale — documented and replicated | Yes — Real Effect |
| Does anchoring support private listings as the remedy? | The literature recommends accurate pricing at launch, not private marketing. Brief pre-market calibration has narrow support. | Narrow / Partial |
| Do private listing networks produce racially disparate outcomes? | HUD/Urban Institute (2013), U.S. Treasury (2022), Korver-Glenn (2023), Zillow Chicago (2025) | Documented |
| Do agents sometimes steer toward their own financial interest? | Barwick, Pathak & Wong (2017, American Economic Journal) — peer-reviewed, residential data | Empirically Documented |
| Is “94% sell on MLS” a performance measure? | Survivorship bias literature (Brown et al., Elton et al.) — it is a record of what succeeded, not what worked vs. didn’t. | Not a Performance Measure |
| Do private listings have any legitimate use cases? | All sources agree: genuine privacy needs, luxury idiosyncratic properties, informed seller choice after full disclosure | Narrow Yes |
The Bottom Line
“The independent literature broadly supports open market exposure for standard residential transactions, while acknowledging legitimate but narrow conditions where private channels serve genuine economic functions. The industry’s job is not to choose between serving sellers and serving buyers. It is to be honest with both.”
— Synthesis of Independent Research · Darryl Davis, CSP · March 2026