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Risk, Insurance and Real Estate

Paper Session

Sunday, Jan. 4, 2026 10:15 AM - 12:15 PM (EST)

Loews Philadelphia Hotel, Washington C
Hosted By: American Real Estate and Urban Economics Association
  • Chair: Nitzan Tzur-Ilan, Federal Reserve Bank of Dallas

Risk, Insurance, and Housing Markets: Evaluating the Impact of Risk Rating 2.0 on Home Prices and Flood Insurance Take-up

Philip Mulder
,
University of Wisconsin-Madison
Dayin Zhang
,
University of Wisconsin-Madison

Abstract

This study investigates the impact of the National Flood Insurance Program’s Risk Rating 2.0 (RR2) reform on home prices and insurance behavior in U.S. housing markets exposed to flood risk. RR2, implemented in April 2023, replaces outdated flood maps with property-specific risk-based pricing. Using a reverse-engineered premium algorithm across 17 states and high-resolution CoreLogic real estate data, this research analyzes how the new premium structure affects property values and buyer composition. Employing a difference-in-differences approach, the project identifies causal effects by comparing home sales before and after RR2’s rollout, distinguishing between homes inside and outside FEMA-designated floodplains. The results aim to determine whether flood insurance premiums are now accurately capitalized into home prices and whether rising premiums lead to greater prevalence of all-cash purchases to avoid mandatory insurance requirements. The project contributes to climate finance and environmental economics by revealing how insurance markets interact with real estate and mortgage financing, and how federal policy may unintentionally sustain housing market distortions. It also highlights equity implications, as higher premiums may disproportionately affect vulnerable communities. Findings will inform potential reforms to government-sponsored enterprise mortgage practices and broader strategies for aligning housing markets with climate risk realities.

The Effect of Insurance Premiums on the Housing Market and Climate Risk Pricing

Shan Ge
,
New York University
Ammon Lam
,
Cornerstone
Ryan Lewis
,
University of Colorado-Boulder

Abstract

Property insurance provides an important hedge against disasters, but distorted premiums can mute the pricing of disaster risks. We document that removing flood insurance subsidies precipitates a 2% average price decline, primarily concentrated in properties exposed to sea level rise. Our findings demonstrate that reducing premium distortions accelerates the incorporation of climate change risk in house prices. The house price effect is not fully explained by the cash flows from subsidy reductions, and indicates markets' increased perceptions of uninsured risks. Higher premiums reduce mortgage take-up as mandatory insurance becomes costlier, and encourage the rebuilding of homes, especially in risky locations.

Credit When You Need It

Benjamin Collier
,
Temple University
Daniel Hartley
,
Federal Reserve Bank of Chicago
Benjamin Keys
,
University of Pennsylvania
Xian Ng
,
University of Pennsylvania

Abstract

We estimate the causal effect of emergency credit on households' finances after a negative shock. We link application data from the U.S. Federal Disaster Loan program, which provides loans to households that have uninsured damages from a federally-declared natural disaster, to a panel of credit records before and after the shock. We exploit a discontinuity in the loan approval rules that led applicants with debt-to-income ratios below 40% to be differentially likely to be approved. Using an instrumented difference-in-differences research design, we find that credit provision at the time of a shock significantly reduces severe financial distress, decreasing the likelihood of filing for bankruptcy by 61% in the three years following the disaster. We explore mechanisms using additional quasi-experimental variation in interest rates, finding support for a liquidity-based explanation. Credit provision in a time of crisis has real consumption effects in the form of additional car purchases even 3 years after loan receipt. Our findings suggest that well-timed liquidity provided to households in acute need can have substantial and persistent positive effects.

The Rise in Insurance Costs for Commercial Properties: Causes, Effects on Rents, and the Role of Owners

Minjoo Kim
,
University of Texas at Austin
Prateek Mahajan
,
University of Texas at Austin
Zirui Wang
,
University of Texas at Austin

Abstract

Using a large and novel set of property-level operating statements for commercial properties, we analyze the causes behind the rise in insurance costs, its effects on rents and profits, and how property owners are managing it. First, we document a significant and persistent year-over-year increase in insurance costs across nearly all regions of the US over the last decade. 95% of individuals reside in counties where the increase in commercial insurance costs is at least double that of homeowner insurance costs, which we attribute to regulatory frictions in the homeowner insurance market using a border county-pair difference-in-differences design. Second, we provide evidence of three primary drivers of rising insurance costs: heightened pricing of local risk, a substantial increase in reinsurance costs, and cross-subsidization across states. Third, we find that, on average, 67% of the rise in insurance costs is passed through to rents; however, the passthrough to rent is concave and decreasing over time. Finally, we examine the role of property owners and find that: 1) larger owners are able to maintain lower insurance costs, 2) the impact of owner size on insurance costs are more pronounced in high-risk areas, and 3) owners with a property portfolio that has lower average risk have lower insurance costs, even holding the risk of a given property fixed. The advantage of larger owners in managing insurance costs in risky areas has grown in recent years, resulting in properties in high-risk regions being increasingly owned by larger owners. Our findings suggest that commercial property insurance pricing is influenced by both localized risk factors and broader systematic risk exposure, with risks extending beyond individual properties through insurers and property owners' portfolios.

Discussant(s)
Ana-Maria Tenekedjieva
,
Federal Reserve Board
Matthew Gustafson
,
Pennsylvania State University
Anthony J. Cookson
,
University of Colorado-Boulder
Xiang Li
,
Fordham University
JEL Classifications
  • R3 - Real Estate Markets, Spatial Production Analysis, and Firm Location
  • G5 - Household Finance