The Impact of the Opportunity Zone Program on Residential Real Estate

Ron Bekkerman (), Maxime C. Cohen (), Xiaoyan Liu (), John Maiden () and Dmitry Mitrofanov ()
Additional contact information
Ron Bekkerman: Cherre, Inc., New York, New York 10018
Maxime C. Cohen: Desautels Faculty of Management, McGill University, Montreal, Quebec H3A 1G5, Canada
Xiaoyan Liu: Leavey School of Business, Santa Clara University, Santa Clara, California 95053
John Maiden: Cherre, Inc., New York, New York 10018
Dmitry Mitrofanov: Carroll School of Management, Boston College, Chestnut Hill, Massachusetts 02467

Manufacturing & Service Operations Management, 2024, vol. 26, issue 6, 2142-2159

Abstract: Problem definition : Opportunity zones (OZs) are designated census tracts in which real estate investments can gain tax benefits. Introduced by the U.S. Tax Cuts and Jobs Act of 2017, the goal of the OZ program is to foster economic development in distressed neighborhoods. In this paper, we investigate and optimize the OZ selection process and examine the impact of OZs by exploiting two data sets: a proprietary real estate data set that includes 36.1 million residential transactions spanning all 50 U.S. states and census-tract demographics data between 2010 and 2019. Methodology/results : We show that census tracts with higher poverty and unemployment rates were more likely to be selected. Counterintuitively, however, tracts with a higher average real estate price were also more likely to be selected. We then apply difference-in-differences, synthetic control, and matching techniques to rigorously assess the impact of the OZ program on two key real estate metrics: price and transaction volume. We find that the OZ program increased real estate prices by 4.03%–6.13% but do not observe a significant effect on the transaction volume. We also find that investors primarily targeted the high-end real estate market, namely, exhibiting a cherry-picking behavior. To better fulfill its intended societal and economic goals, we propose an optimization framework with fairness considerations for OZ assignment decisions. We show that the OZs assigned from our fairness-aware optimization formulation can better serve distressed communities and mitigate investors’ cherry-picking behavior. Managerial implications : Our paper underscores the importance of incorporating fairness in OZ designation to achieve a desirable real estate market reaction. Our large-scale empirical analysis provides a comprehensive assessment of the current government OZ assignment, and our fairness-aware optimization framework provides concrete recommendations for policy makers.

Keywords: opportunity zones; real estate; public policy; natural experiment; fairness-aware optimization (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:inm:ormsom:v:26:y:2024:i:6:p:2142-2159

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