Research Lab (Index First)
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.
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.
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.
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.
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
Featured Viewpoints
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The Intersection of Private Equity, Insurance Companies, and Commercial Real Estate Debt
The Growing Impact of Climate Change on Real Estate Coverage
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Housing Policy Comment
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Why Home Buyers Ignore the Climate Risk in Danger Zones
Real Estate Expertise
Faculty Contributors
Latest Academic Citations
Rent Guarantee Insurance
A rent guarantee insurance (RGI) policy makes a limited number of rent payments to the landlord on behalf of an insured tenant unable to pay rent due to a negative income or health expenditure shock. We introduce RGI in a rich quantitative equilibrium model of housing insecurity and show it increases welfare by improving risk sharing across idiosyncratic and aggregate states of the world, reducing the need for a large security deposits, and reducing homelessness which imposes large costs on society.
The Equilibrium Effects of Eviction Policies
I propose a dynamic equilibrium model of the rental markets that endogenously gives rise to defaults on rents and evictions. In the model, eviction protections make it harder to evict delinquent renters, but higher default costs to landlords increase equilibrium rents. I quantify the model using micro data on evictions, rents, and homelessness. I find that stronger eviction protections exacerbate housing insecurity and lower welfare. The key empirical driver of this result is the persistent nature of risk underlying rent delinquencies.
Understanding Rationality and Disagreement in House Price Expectations
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- November 17, 2023
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Journal Article
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- Review of Financial Studies
Professional house price forecast data are consistent with a rational model where agents must learn about the parameters of the house price growth process and the underlying state of the housing market. Slow learning about the long-run mean generates overreaction to forecast revisions and a modest response of forecasts to lagged realizations. Heterogeneity in signals and priors about the long-run mean helps the model account for cross-sectional dispersion in forecasts. Introducing behavioral biases helps improve the model's predictions for short-horizon overreaction and dispersion.
Flattening the Curve: Pandemic-Induced Revaluation of Real Estate
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- November 1, 2022
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Journal Article
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- Journal of Financial Economics
We show that the COVID-19 pandemic brought house price and rent declines in city centers, and price and rent increases away from the center, thereby flattening the bid-rent curve in most U.S. metropolitan areas. Across MSAs, the flattening of the bid-rent curve is larger when working from home is more prevalent, housing markets are more regulated, and supply is less elastic. Housing markets predict that urban rent growth will exceed suburban rent growth for the foreseeable future.
Working From Home and the Office Real Estate Apocalypse
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- Forthcoming
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Journal Article
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- American Economic Review
Working from home resulted in a sharp contraction in office demand. We built a valuation model to find that the office stock lost about 45% in value. More for low-quality buildings and in cities with a larger IT sector and less for trophy buildings. We discuss the implications for mortgage lenders and the vitality of cities.
Beyond the Balance Sheet Model of Banking: Implications for Bank Regulation and Monetary Policy
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- Forthcoming
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Journal Article
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- Journal of Political Economy
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.