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Estimation of an Equilibrium Model With Externalities: Post‐Disaster Neighborhood Rebuilding

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  • Chao Fu
  • Jesse Gregory

Abstract

We study the optimal design of subsidies in an equilibrium setting, where the decisions of individual recipients impose externalities on one another. We apply the model to the case of post‐Katrina rebuilding in New Orleans under the Louisiana Road Home rebuilding grant program (RH). We estimate the structural model via indirect inference, exploiting a discontinuity in the formula for determining the size of grants, which helps isolate the causal effect of neighbors' rebuilding on one's own rebuilding choices. We find that the additional rebuilding induced by RH generated positive externalities equivalent to $4950 to each inframarginal household whose rebuilding choice was not affected by the program. Counterfactual policy experiments find that optimal subsidy policies bias grant offers against relocation, with an inverse‐U‐shaped relationship between the degree of bias and the severity of damages from the disaster.

Suggested Citation

  • Chao Fu & Jesse Gregory, 2019. "Estimation of an Equilibrium Model With Externalities: Post‐Disaster Neighborhood Rebuilding," Econometrica, Econometric Society, vol. 87(2), pages 387-421, March.
  • Handle: RePEc:wly:emetrp:v:87:y:2019:i:2:p:387-421
    DOI: 10.3982/ECTA14246
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    Cited by:

    1. Patrick Lehnert & Michael Niederberger & Uschi Backes-Gellner & Eric Bettinger, 2020. "Proxying Economic Activity with Daytime Satellite Imagery: Filling Data Gaps Across Time and Space," Economics of Education Working Paper Series 0165, University of Zurich, Department of Business Administration (IBW), revised Sep 2022.
    2. Raymond Owens III & Esteban Rossi-Hansberg & Pierre-Daniel Sarte, 2020. "Rethinking Detroit," American Economic Journal: Economic Policy, American Economic Association, vol. 12(2), pages 258-305, May.
    3. Amine Ouazad & Matthew E Kahn, 2022. "Mortgage Finance and Climate Change: Securitization Dynamics in the Aftermath of Natural Disasters," The Review of Financial Studies, Society for Financial Studies, vol. 35(8), pages 3617-3665.
    4. Jun Sung Kim & Eleonora Patacchini & Pierre M. Picard & Yves Zenou, 2023. "Spatial interactions," Quantitative Economics, Econometric Society, vol. 14(4), pages 1295-1335, November.
    5. Linguère Mously Mbaye, 2023. "Climate change, natural disasters, and migration," IZA World of Labor, Institute of Labor Economics (IZA), pages 3462-3462, November.
    6. Yang, Xiaoliang & Barros, Lucy & Matthews, Kent & Meenagh, David, 2024. "The dynamics of redistribution, inequality and growth across China’s regions," Journal of Policy Modeling, Elsevier, vol. 46(3), pages 613-637.
    7. Matteo Bobba & Luca Flabbi & Santiago Levy, 2022. "Labor Market Search, Informality, And Schooling Investments," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 63(1), pages 211-259, February.
    8. Boustan, Leah Platt & Kahn, Matthew E. & Rhode, Paul W. & Yanguas, Maria Lucia, 2020. "The effect of natural disasters on economic activity in US counties: A century of data," Journal of Urban Economics, Elsevier, vol. 118(C).
    9. Murphy, Daniel, 2024. "Housing cycles and gentrification," Journal of Monetary Economics, Elsevier, vol. 144(C).
    10. Cody Cook & Pearl Z. Li & Ariel J. Binder, 2023. "Where to Build Affordable Housing? Evaluating the Tradeoffs of Location," Working Papers 23-62, Center for Economic Studies, U.S. Census Bureau.
    11. Chen, Jianyu & Zhang, Jianshun, 2023. "Crude oil price shocks, volatility spillovers, and global systemic financial risk transmission mechanisms: Evidence from the stock and foreign exchange markets," Resources Policy, Elsevier, vol. 85(PB).
    12. A. Bukvic & C. W. Zobel, 2024. "Flood-induced mobility in rural and urban coastal jurisdictions: a homeowner’s perspective," Climatic Change, Springer, vol. 177(11), pages 1-23, November.
    13. Isaiah Andrews & Matthew Gentzkow & Jesse M. Shapiro, 2020. "Transparency in Structural Research," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 38(4), pages 711-722, October.
    14. Blaise Melly & Rafael Lalive, 2020. "Estimation, Inference, and Interpretation in the Regression Discontinuity Design," Diskussionsschriften dp2016, Universitaet Bern, Departement Volkswirtschaft.
    15. Guo, Wei & Liao, Yanjun (Penny) & Miao, Qing, 2023. "Managed Retreat and Flood Recovery: The Local Economic Impacts of a Buyout and Acquisition Program," RFF Working Paper Series 23-44, Resources for the Future.

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