The pandemic puzzle: the causal impact of government stringency on housing prices

Purpose This study aims to examine the causal impact of COVID-19 stringency measures on U.S. housing markets, focusing on house price returns. By analyzing the entire pandemic period, it provides a comprehensive assessment of government interventions’ effects on regional housing dynamics. Design/methodology/approach Using the Oxford Stringency Index, this study applies a causal framework with difference-in-differences, propensity score matching and generalized propensity score techniques on data from 51 U.S. states (2020–2022), controlling for income, unemployment, political tendency and COVID-19 cases. Findings Results reveal a nonlinear, inverse U-shaped relationship between stringency measures and house price returns. Moderate restrictions supported housing markets, while excessive stringency had adverse effects. House price returns rise from 2.787% at the 25th percentile to 4.253% at the 75th percentile of policy stringency but decline to 0.696% at the 99th percentile. These findings underscore the impact of government interventions on real estate markets during crises. Research limitations/implications Focusing on U.S. data may limit the generalizability of findings to other countries. Practical implications Stringency policies aim to protect lives, but their application varies by state due to differing public beliefs. Understanding their impact on housing markets allows states to take preemptive measures. Data-driven policies help real estate stakeholders anticipate market shifts and adapt strategies during crises. Social implications Public health policies can inadvertently affect housing demand. This study highlights the need for equitable policy frameworks to mitigate unintended consequences during crises. Originality/value Unlike prior research on specific periods or regions, this study applies advanced causal inference to comprehensively assess COVID-19 stringency measures’ impact on U.S. housing markets throughout the pandemic.

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Publication Details

Journal
International Journal of Housing Markets and Analysis
Published
2025-03-27
DOI
https://doi.org/10.1108/ijhma-01-2025-0015
Primary Topic
Housing Market and Economics
Type
article
Field-Weighted Citation Impact
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article

The pandemic puzzle: the causal impact of government stringency on housing prices

Orhan Erdem, Zeynullah Gider
International Journal of Housing Markets and Analysis
Housing Market and Economics
article

The pandemic puzzle: the causal impact of government stringency on housing prices

Orhan Erdem, Zeynullah Gider
article en

Abstract

Purpose This study aims to examine the causal impact of COVID-19 stringency measures on U.S. housing markets, focusing on house price returns. By analyzing the entire pandemic period, it provides a comprehensive assessment of government interventions’ effects on regional housing dynamics. Design/methodology/approach Using the Oxford Stringency Index, this study applies a causal framework with difference-in-differences, propensity score matching and generalized propensity score techniques on data from 51 U.S. states (2020–2022), controlling for income, unemployment, political tendency and COVID-19 cases. Findings Results reveal a nonlinear, inverse U-shaped relationship between stringency measures and house price returns. Moderate restrictions supported housing markets, while excessive stringency had adverse effects. House price returns rise from 2.787% at the 25th percentile to 4.253% at the 75th percentile of policy stringency but decline to 0.696% at the 99th percentile. These findings underscore the impact of government interventions on real estate markets during crises. Research limitations/implications Focusing on U.S. data may limit the generalizability of findings to other countries. Practical implications Stringency policies aim to protect lives, but their application varies by state due to differing public beliefs. Understanding their impact on housing markets allows states to take preemptive measures. Data-driven policies help real estate stakeholders anticipate market shifts and adapt strategies during crises. Social implications Public health policies can inadvertently affect housing demand. This study highlights the need for equitable policy frameworks to mitigate unintended consequences during crises. Originality/value Unlike prior research on specific periods or regions, this study applies advanced causal inference to comprehensively assess COVID-19 stringency measures’ impact on U.S. housing markets throughout the pandemic.

International Journal of Housing Markets and Analysis
University of North Texas (US), University of Minnesota Morris (US)
Openalex Percentile: Top 91%
Housing Market and Economics
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