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Cherry‐picking industrial properties in opportunity zones

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  • Jonathan A. Wiley
  • Hana Nguyen

Abstract

We examine the impact on industrial property prices following the launch of US opportunity zones—a location‐based tax incentive program intended to attract investment into low‐income communities. Using a national sample of commercial real estate transactions, we document significantly higher transaction premiums, when matched with comparable transactions in eligible tracts that were not included in the program. Consistent with development options that are incentivized by the program, we find that premiums are concentrated at properties with the largest amounts of excess land available, and we observe no evidence of spillover effects to properties that do not possess similar optionality. Among the designated opportunity zones, significant transaction premiums appear in areas that previously demonstrate high employment and population growth. Overall, we do not find evidence to suggest that the aggregate share of commercial real estate transaction volume to opportunity zones has increased following the legislation.

Suggested Citation

  • Jonathan A. Wiley & Hana Nguyen, 2022. "Cherry‐picking industrial properties in opportunity zones," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 50(5), pages 1201-1230, September.
    • Handle: RePEc:bla:reesec:v:50:y:2022:i:5:p:1201-1230
    DOI: 10.1111/1540-6229.12375
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    1. Margaret Frank, Mary & Hoopes, Jeffrey L. & Lester, Rebecca, 2022. "What determines where opportunity knocks? Political affiliation in the selection of Opportunity Zones," Journal of Public Economics, Elsevier, vol. 206(C).
    2. Capozza, Dennis & Li, Yuming, 1994. "The Intensity and Timing of Investment: The Case of Land," American Economic Review, American Economic Association, vol. 84(4), pages 889-904, September.
    3. James Alm & Trey Dronyk-Trosper & Sean Larkin, 2021. "In the land of OZ: designating opportunity zones," Public Choice, Springer, vol. 188(3), pages 503-523, September.
    4. Alberto Abadie, 2005. "Semiparametric Difference-in-Differences Estimators," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 72(1), pages 1-19.
    5. Daniel P. McMillen, 2012. "Repeat Sales as a Matching Estimator," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 40(4), pages 743-771, December.
    6. King, Gary & Nielsen, Richard, 2019. "Why Propensity Scores Should Not Be Used for Matching," Political Analysis, Cambridge University Press, vol. 27(4), pages 435-454, October.
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