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Research Lab

Paul Milstein Center for Real Estate

The Milstein Center Research Lab conducts rigorous academic research in a collaborative setting and fosters meaningful dialogue with business innovators and public sector leaders to address the most pressing challenges in real estate markets.

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Columbia CompStak Net Effective Rent Index

The Columbia CompStak Rent Index (CCRI) is the first quality-adjusted commercial real estate rent index built on net effective rents. Developed by Faculty at Columbia Business School's Paul Milstein Center for Real Estate using CompStak's verified lease transactions, CCRI establishes a new public benchmark for measuring U.S. commercial rent performance across office, retail, and industrial markets nationwide.  By combining transaction-level lease data with academic rigor, the partnership bridges real-world market intelligence and institutional research standards to deliver a transparent, constant-quality view of rent movement over time.

View the Rent Index

Index Methodology

The Quality-Adjusted Rent Index is calculated using a hedonic regression model that controls for property characteristics such as size, age, location quality, and lease terms. This methodology isolates pure rent changes from compositional shifts in the types of properties transacting.

Read Full Methodology

Real Estate Rent Index Research

Through the Columbia CompStak Quality-Adjusted Commercial Real Estate Rent Index, we construct a new quality-adjusted commercial real estate rent index for U.S. office, retail, and industrial markets using more than one million CompStak lease transactions from 2010-2025.

View the Research

National Net Effective Rent

  • Disclosure: Anyone using this data needs to name the index (Columbia CompStak Rent Index) and cite our methodology paper as the origin.
  • Suggested Citation to Use: Abramson, Boaz and Choudhary, Gaurav and Kim, Joel Joonyoung and Piskorski, Tomasz and Qiu, Ziyi and Van Nieuwerburgh, Stijn and Yu, Wayne, The Columbia CompStak Quality-Adjusted Commercial Real Estate Rent Index (December 01, 2025). Columbia Business School Research Paper No. 5841322, Available at SSRN: https://ssrn.com/abstract=5841322 or http://dx.doi.org/10.2139/ssrn.5841322

  • Explore Market Indices
  • About the Index

Featured Viewpoints

Finance
Date
October 06, 2026
The AI Buildout: What Real Estate Investors Need to Underwrite Image
Finance

The AI Buildout: What Real Estate Investors Need to Underwrite

For a data center investor, a signed lease with a major technology company is a powerful selling point. The tenant has deep pockets, demand for computing capacity is growing, and access to power limits competing supply. Put those features together, and a new campus can look like an unusually attractive real estate investment.
  • Read more about The AI Buildout: What Real Estate Investors Need to Underwrite about The AI Buildout: What Real Estate Investors Need to Underwrite
Strategy
Date
August 03, 2026
Do Better Schools Mean Better Rent Growth? Not Exactly Photo Image
Strategy

Do Better Schools Mean Better Rent Growth? Not Exactly

What a decade of school redistricting tells us about multifamily performance.Michael Steinberg ’18Senior Director of Real Estate Investment Strategy and Research, MetLife Investment Management Christopher W. MunsellGlascock Associate Professor of Professional Practice of Real Estate Development Finance, Columbia University 
  • Read more about Do Better Schools Mean Better Rent Growth? Not Exactly about Do Better Schools Mean Better Rent Growth? Not Exactly
Real Estate
Date
June 25, 2026
Sinking the Cloud Photo Image
Real Estate

Sinking the Cloud: Why Underwater Data Centers Deserve a Serious Look

The most important real estate question of the next decade isn't where people will live. It's where AI will live.Zach Aarons '13Co-Founder & General Partner, MetaProp
  • Read more about Sinking the Cloud: Why Underwater Data Centers Deserve a Serious Look about Sinking the Cloud: Why Underwater Data Centers Deserve a Serious Look
Finance and Economics
Date
June 11, 2026
AI and the Real Estate Differentiation Problem: A Hotel Reviews Case Study Photo Image
Finance and Economics

AI and the Real Estate Differentiation Problem: A Hotel Reviews Case Study

Real estate investment firms treat today's capital-raising challenge as a fundraising problem; at its core it is a differentiation problem. Capital takes longer to raise, more of it flows to the largest platforms, and many mid-sized managers sound alike to LPs: disciplined sourcing, operational value creation, data-driven underwriting, repeatable process. Nearly every firm is experimenting with AI. The question is whether they will use it for productivity alone, or to create proprietary insights that improve capital allocation.Donal Warde '19Founder & Principal, Folio Strategy Partners
  • Read more about AI and the Real Estate Differentiation Problem: A Hotel Reviews Case Study about AI and the Real Estate Differentiation Problem: A Hotel Reviews Case Study
Business and Society
Date
April 29, 2026
Private Credit and Financial Stability Photo Image
Business and Society

Private Credit and Financial Stability

Rising redemption pressures in parts of the private credit market, alongside growing attention from regulators and market participants, have brought renewed focus to questions of financial stability.
  • Read more about Private Credit and Financial Stability about Private Credit and Financial Stability
View All Viewpoints

Collaborated Viewpoints

Strategy
Date
August 03, 2026
Do Better Schools Mean Better Rent Growth? Not Exactly Photo Image
Strategy

Do Better Schools Mean Better Rent Growth? Not Exactly

What a decade of school redistricting tells us about multifamily performance.Michael Steinberg ’18Senior Director of Real Estate Investment Strategy and Research, MetLife Investment Management Christopher W. MunsellGlascock Associate Professor of Professional Practice of Real Estate Development Finance, Columbia University 
  • Read more about Do Better Schools Mean Better Rent Growth? Not Exactly about Do Better Schools Mean Better Rent Growth? Not Exactly
Real Estate
Date
June 25, 2026
Sinking the Cloud Photo Image
Real Estate

Sinking the Cloud: Why Underwater Data Centers Deserve a Serious Look

The most important real estate question of the next decade isn't where people will live. It's where AI will live.Zach Aarons '13Co-Founder & General Partner, MetaProp
  • Read more about Sinking the Cloud: Why Underwater Data Centers Deserve a Serious Look about Sinking the Cloud: Why Underwater Data Centers Deserve a Serious Look
Finance and Economics
Date
June 11, 2026
AI and the Real Estate Differentiation Problem: A Hotel Reviews Case Study Photo Image
Finance and Economics

AI and the Real Estate Differentiation Problem: A Hotel Reviews Case Study

Real estate investment firms treat today's capital-raising challenge as a fundraising problem; at its core it is a differentiation problem. Capital takes longer to raise, more of it flows to the largest platforms, and many mid-sized managers sound alike to LPs: disciplined sourcing, operational value creation, data-driven underwriting, repeatable process. Nearly every firm is experimenting with AI. The question is whether they will use it for productivity alone, or to create proprietary insights that improve capital allocation.Donal Warde '19Founder & Principal, Folio Strategy Partners
  • Read more about AI and the Real Estate Differentiation Problem: A Hotel Reviews Case Study about AI and the Real Estate Differentiation Problem: A Hotel Reviews Case Study
Real Estate
Date
May 11, 2026
1st Place: Noble Investment Group
Real Estate
Real Estate News

2026 Alexander Bodini Foundation Prize Competition Winners

Alexander Bodini Foundation Prizes Awarded to Top Four Teams of Real Estate Capstone Course
  • Read more about 2026 Alexander Bodini Foundation Prize Competition Winners about 2026 Alexander Bodini Foundation Prize Competition Winners
View All Collaborated Viewpoints

Real Estate Expertise

Shadow Banking
Housing Insecurity
Climate & Finance
Office Conversions
FinTech & PropTech
Banks & Stability
Intermediation
View the Latest Academic Research

Faculty Contributors

Boaz Abramson

Boaz Abramson

Assistant Professor of Business
Finance Division
Christopher Mayer

Christopher Mayer

Paul Milstein Professor Emeritus of Real Estate
Finance Division
Photo of Professor Stijn Van Nieuwerburgh

Stijn Van Nieuwerburgh

Earle W. Kazis and Benjamin Schore Professor of Real Estate
Finance Division
Co-Director
Paul Milstein Center for Real Estate
Tomasz Piskorski

Tomasz Piskorski

Edward S. Gordon Professor of Real Estate
Finance Division

Latest Academic Citations

Financing the AI Buildout

Authors
Stijn Van Nieuwerburgh
Date
September 23, 2026
Format
Working Paper

AI demand has altered the physical economics of data centers, raising power and cooling intensity and favoring purpose-built campuses, and triggered an infrastructure-scale investment wave. Because these assets are expensive, specialized, and rapidly evolving, funding is shifting from on-balance-sheet corporate finance toward leases, project finance, securitization, private credit, and SPV structures.

Read More about Financing the AI Buildout

Beyond the Balance Sheet Model of Banking: Implications for Bank Regulation and Monetary Policy

Authors
Tomasz Piskorski
Date
Forthcoming
Format
Journal Article

Bank balance sheet lending is commonly viewed as the predominant form of lending. We document and study two margins of adjustment that are usually absent from this view using microdata in the $10 trillion U.S. residential mortgage market. We first document the limits of the shadow bank substitution margin: shadow banks substitute for traditional “deposit-taking” banks in loans which are easily sold, but are limited from activities requiring on-balance-sheet financing.

Read More about Beyond the Balance Sheet Model of Banking: Implications for Bank Regulation and Monetary Policy

Bond Convenience Yields in the Eurozone Currency Union

Authors
Stijn Van Nieuwerburgh
Date
Forthcoming
Format
Journal Article

In a monetary union, the risk-free rate cannot respond to country-level fiscal positions, leaving only default spreads and convenience yields to respond. Empirically, we find that convenience yields explain a large share of the variation in Eurozone sovereign bond yields. Eurozone countries earn larger convenience yields when they experience larger surpluses, suggesting convenience yields are important fiscal shock absorbers.

Read More about Bond Convenience Yields in the Eurozone Currency Union

Private Credit, Balance Sheets and Financial Stability

Authors
Tomasz Piskorski
Date
Forthcoming
Format
Journal Article

We document new evidence on the capitalization, funding structure, and performance of private credit funds using comprehensive fund-and asset-level data covering most of the industry. Private credit funds are highly capitalized, with equity typically accounting for 65-80% of total assetsmore than six times the capitalization of U.S. banks, where equity represents about 10%. Debt usage is moderate and largely reflects bank credit lines used for liquidity management.

Read More about Private Credit, Balance Sheets and Financial Stability

Financing the AI Buildout

Authors
Stijn Van Nieuwerburgh
Date
March 19, 2026
Format
Working Paper

This paper analyzes the AI infrastructure boom as a physical capital buildout centered on data centers, power infrastructure, cooling systems, and specialized chips. It studies how this buildout is financed through hyperscalers, third-party developers, REITs, private credit, and structured finance, and discusses the implications for leverage, risk allocation, and financial stability.

Read More about Financing the AI Buildout

The Great Revaluation: COVID-19 and the Structural Transformation of the American Housing Market

Authors
Stijn Van Nieuwerburgh
Date
February 12, 2026
Format
Working Paper

This chapter summarizes the tectonic shifts that took place in the U.S. housing market between 2019 and 2025. I explore the roles of remote work and lower interest rates in the dramatic rise of aggregate house prices, the"flattening" of the urban bidrent curve in the cross-section of locations, and the fiscal implications of the "Urban Doom Loop." I discuss how mortgage lock-in effects may have stabilized house prices in the wake of more recent increases in interest rates, at the expense of residential mobility.

Read More about The Great Revaluation: COVID-19 and the Structural Transformation of the American Housing Market
View All Academic Research

Real Estate In the News

CNN Business
November 6, 2026

AI stocks bounce back after $2.5 trillion wipeout, but questions remain

In a CNN Business report on the market rebound after a roughly $2.5 trillion AI-driven sell-off, a Columbia Business School study is cited as estimating that AI-related infrastructure investment was driving nearly all observed U.S. GDP growth by the end of last year. The story ties the midweek rout to investor concern that Democratic midterm gains could slow the AI spending boom that has supported both the economy and markets. That Columbia estimate comes from research by professor Stijn Van Nieuwerburgh

Mentioned Faculty

Photo of Professor Stijn Van Nieuwerburgh

Stijn Van Nieuwerburgh

Earle W. Kazis and Benjamin Schore Professor of Real Estate
Finance Division
Co-Director
Paul Milstein Center for Real Estate
BBC News
November 6, 2026

Did a data centre revolt affect the US midterm election results?

In a BBC News analysis of whether a backlash against data centers helped shape the midterm elections, Columbia Business School research is cited showing that U.S. AI infrastructure investment is now larger, as a share of the economy, than spending on new railways at the height of the 19th-century boom. That comparison comes from work by professor Stijn Van Nieuwerburgh. The story reports that 56% of surveyed voters called data centers a “crucial or major” factor in their vote, and that several states leading the AI build-out elected officials who favor tighter rules on new facilities.

Mentioned Faculty

Photo of Professor Stijn Van Nieuwerburgh

Stijn Van Nieuwerburgh

Earle W. Kazis and Benjamin Schore Professor of Real Estate
Finance Division
Co-Director
Paul Milstein Center for Real Estate
CNN Business
November 5, 2026

Stijn Van Nieuwerburgh on the AI Spending Boom After the Midterms

In a CNN Business story on how the Texas governor's race upset and Democratic wins could slow the data center boom, Columbia Business School economist Stijn Van Nieuwerburgh estimates that AI infrastructure spending will approach $1 trillion a year for the foreseeable future. As a share of GDP, that would outpace every other investment boom in modern U.S. history, including the building of the railroads. The story looks at what slower spending could mean for jobs and economic development tied to AI.

Mentioned Faculty

Photo of Professor Stijn Van Nieuwerburgh

Stijn Van Nieuwerburgh

Earle W. Kazis and Benjamin Schore Professor of Real Estate
Finance Division
Co-Director
Paul Milstein Center for Real Estate
The New York Times
November 5, 2026

Christopher Mayer on New York's Pied-à-Terre Tax

In a New York Times story on high-end home sales after New York's new tax on $5 million second homes, Christopher Mayer, emeritus professor of real estate at Columbia Business School, says the bigger risk for the city would be wealthy people choosing not to open offices or grow their businesses there. So far, he says, that hasn't happened, and the tax looks "big enough to generate some revenue, but not so big and disruptive that it's damaging the larger business community."

Mentioned Faculty

Christopher Mayer

Christopher Mayer

Paul Milstein Professor Emeritus of Real Estate
Finance Division
The Financial Times
November 4, 2026

Are we ready for an AI bust?

In a Financial Times opinion column, chief economics commentator Martin Wolf draws on "Financing the AI Buildout," a paper by Columbia Business School professor Stijn Van Nieuwerburgh, to ask whether markets are ready for an AI bust. The paper estimates that U.S. spending on the AI buildout will average 3.6% of GDP from 2025 to 2032. That's more than the 2.2% spent on railways from 1870 to 1890 and the 1.1% spent on highways from 1956 to 1973.Van Nieuwerburgh finds that capital spending by Alphabet, Amazon, Meta, Microsoft, and Oracle rose from $97 billion in 2020 to $416 billion in 2025, and is forecast to reach $801 billion in 2026. At that point, spending would exceed the companies' operating cash flow by $93 billion. Data center financing is shifting toward developers, REITs, infrastructure funds, and private equity, and much of it runs through bank loans and private credit with little public disclosure. As the paper puts it, "the sector's financing structure can transmit and amplify those risks." Wolf argues that the longer the boom and its financial engineering continue, the bigger the economic impact is likely to be when it ends.

Mentioned Faculty

Photo of Professor Stijn Van Nieuwerburgh

Stijn Van Nieuwerburgh

Earle W. Kazis and Benjamin Schore Professor of Real Estate
Finance Division
Co-Director
Paul Milstein Center for Real Estate
CRE Daily
November 3, 2026

Stijn Van Nieuwerburgh on What the AI Buildout Must Earn

In a CRE Daily brief on doubts about AI-driven industrial real estate demand, Columbia Business School's Stijn Van Nieuwerburgh "sizes the bill" in his paper "Financing the AI Buildout." By 2032, the computing capacity added from 2025 on would have to produce $1.774 trillion a year to justify itself, equal to 8.8% of that year's projected GDP. The brief sets his analysis alongside Goldman Sachs and Apollo economists questioning how long AI can keep fueling demand.

Mentioned Faculty

Photo of Professor Stijn Van Nieuwerburgh

Stijn Van Nieuwerburgh

Earle W. Kazis and Benjamin Schore Professor of Real Estate
Finance Division
Co-Director
Paul Milstein Center for Real Estate
GlobeSt
November 3, 2026

Stijn Van Nieuwerburgh on AI and Industrial Real Estate Demand

In a GlobeSt analysis of whether AI can keep driving demand for industrial real estate, Columbia Business School professor Stijn Van Nieuwerburgh's paper "Financing the AI Buildout" is cited alongside views from Goldman Sachs and Apollo. His work estimates the cash flow the AI buildout would need to generate to justify the investment.

Mentioned Faculty

Photo of Professor Stijn Van Nieuwerburgh

Stijn Van Nieuwerburgh

Earle W. Kazis and Benjamin Schore Professor of Real Estate
Finance Division
Co-Director
Paul Milstein Center for Real Estate
The Tennessean
November 1, 2026

Stijn Van Nieuwerburgh's Research on Tennessee's Data Center Bet

In a Tennessean investigation into the Tennessee Valley Authority's planned power expansion for data centers, and who pays if the AI boom busts, the story cites research by Columbia Business School professor Stijn Van Nieuwerburgh. He estimates U.S. AI infrastructure spending could reach about $9 trillion to $10 trillion by 2032, with more of it financed through debt, leases, and private credit.

Mentioned Faculty

Photo of Professor Stijn Van Nieuwerburgh

Stijn Van Nieuwerburgh

Earle W. Kazis and Benjamin Schore Professor of Real Estate
Finance Division
Co-Director
Paul Milstein Center for Real Estate
Forbes
October 16, 2026

Nearly 50% Of 2026 Data Center Bonds Are Junk Bonds. Here’s Why.

In Forbes, Columbia Business School Professor Stijn Van Nieuwerburgh looks at the surge in high-yield debt behind the AI data center buildout. So far in 2026, data center developers and AI cloud providers known as "neoclouds" have raised $80 billion in data center bonds. Of that, $37 billion, nearly half, is rated junk, more than four times the 2025 total. A Forbes analysis of FactSet data found these bonds finance 16 data center projects leased to or backed by companies such as Amazon, Meta, Nvidia, Oracle, and Jane Street, along with fast-growing neoclouds like CoreWeave and Fluidstack. Investors are now pulling back. Average yields on these bonds climbed to nearly 10% in a single week, and about $4 billion of CoreWeave's corporate debt is trading below 80 cents on the dollar. "Bond investors don't benefit from the upside. They only worry about the downside," Van Nieuwerburgh says. "The yields are beginning to reflect an increased probability of a downside scenario." Equity markets are showing the same strain, as heavily indebted developers Firmus, SB Energy, and AirTrunk have postponed or canceled their IPOs.

Mentioned Faculty

Photo of Professor Stijn Van Nieuwerburgh

Stijn Van Nieuwerburgh

Earle W. Kazis and Benjamin Schore Professor of Real Estate
Finance Division
Co-Director
Paul Milstein Center for Real Estate
View All Real Estate In the News
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