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Household Financial Decision-Making After Natural Disasters: Evidence from Hurricane Harvey

Published online by Cambridge University Press:  09 January 2024

Alejandro del Valle Open the ORCID record for Alejandro del Valle [Opens in a new window] ,
Therese Scharlemann  and
Stephen Shore Open the ORCID record for Stephen Shore [Opens in a new window]
Alejandro del Valle*
Affiliation:
Georgia State University Greenberg School of Risk Science
Therese Scharlemann
Affiliation:
Federal Reserve Board Tess.Scharlemann@frb.gov
Stephen Shore
Affiliation:
Georgia State University Greenberg School of Risk Science sshore@gsu.edu
*
adelvalle@gsu.edu (corresponding author)
Rights & Permissions [Opens in a new window]

Abstract

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We study household credit responses to Hurricane Harvey using new, geographically granular data on credit cards, mortgages, and flooding. Estimates from a differences-in-differences design that exploits the flooding gradient show that affected households only borrow at low-interest rates, often using promotional (zero interest) cards and that they quickly pay down balances. We also document that take-up of forbearance (borrowing by missing mortgage payments without penalty) increases with flooding. These results are attenuated in floodplains, particularly in structures subject by code to physical hardening. Our results indicate that credit acts as a substitute for the lack of physical hardening.

Type
Research Article
Information
Journal of Financial and Quantitative Analysis , Volume 59 , Issue 5 , August 2024 , pp. 2459 - 2485
Creative Commons
Creative Common License - CCCreative Common License - BY
To the extent this is a work of the US Government, it is not subject to copyright protection within the United States. Published by Cambridge University Press on behalf of the Michael G. Foster School of Business, University of Washington.
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© Board of Governors of the Federal Reserve System and the Author(s), 2024.

Footnotes

We thank an anonymous referee, Jennifer Conrad (the editor), Emily Gallagher, Justin Gallagher, Raven Molloy, Paul Willen, and participants at the 2019 Urban Economic Association Meetings, the 2019 Office of Financial Research/Cleveland Federal Reserve Bank Conference on Financial Stability, and the 2021 NBER Conference on Innovative Data in Household Finance for helpful comments. The views and opinions expressed in this article are solely those of the authors and do not reflect those of the Board of Governors or the Federal Reserve System.

References

Agarwal, S.; Ben-David, I.; and Yao, V.. “Systematic Mistakes in the Mortgage Market and Lack of Financial Sophistication.” Journal of Financial Economics, 1230 (2017), 42–58.10.1016/j.jfineco.2016.01.028CrossRefGoogle Scholar
Agarwal, S.; Chomsisengphet, S.; Liu, C.; and Souleles, N. S.. “Do Consumers Choose the Right Credit Contracts?” Review of Corporate Finance Studies, 40 (2015), 239–257.10.1093/rcfs/cfv003CrossRefGoogle Scholar
Agarwal, S.; Fan, M.; Klapper, L. F.; and Lee, E.. “The Impact of an Extreme Weather Event on Business Performance.” SSRN Working Paper No. 3957868 (2021).10.2139/ssrn.3957868CrossRefGoogle Scholar
Agarwal, S.; Rosen, R. J.; and Yao, V.. “Why Do Borrowers Make Mortgage Refinancing Mistakes?” Management Science, 620 (2016), 3494–3509.10.1287/mnsc.2015.2272CrossRefGoogle Scholar
Agarwal, S.; Skiba, P. M.; and Tobacman, J.. “Payday Loans and Credit Cards: New Liquidity and Credit Scoring Puzzles?” American Economic Review, 990 (2009), 412–417.10.1257/aer.99.2.412CrossRefGoogle Scholar
Aladangady, A.; Aron-Dine, S.; Dunn, W.; Feiveson, L.; Lengermann, P.; and Sahm, C.. “The Effect of Hurricane Matthew on Consumer Spending.” In FEDS Notes. Washington, DC: Board of Governors of the Federal Reserve System (2016).Google Scholar
An, X.; Cordell, L.; Geng, L.; and Lee, K.. “Inequality in the Time of COVID-19: Evidence from Mortgage Delinquency and Forbearance.” SSRN Working Paper No. 3789349 (2021).10.21799/frbp.wp.2021.09CrossRefGoogle Scholar
Ausubel, L. M. “The Failure of Competition in the Credit Card Market.” American Economic Review, 810 (1991), 50–81.Google Scholar
Billings, S. B.; Gallagher, E. A.; and Ricketts, L.. “Let the Rich Be Flooded: The Distribution of Financial Aid and Distress after Hurricane Harvey.” Journal of Financial Economics, 1460 (2022), 797–819.10.1016/j.jfineco.2021.11.006CrossRefGoogle Scholar
Blessing, R.; Sebastian, A.; and Brody, S. D.. “Flood Risk Delineation in the United States: How Much Loss Are We Capturing?” Natural Hazards Review, 180 (2017), 04017002.10.1061/(ASCE)NH.1527-6996.0000242CrossRefGoogle Scholar
Bowes, P. Dataset: Zip+4 Centroid Coordinates, 2018. Data retrieved from Pitney Bowes on Nov. 17 (2017).Google Scholar
Campbell, J. Y.; Jackson, H. E.; Madrian, B. C.; and Tufano, P. “Consumer Financial Protection.” Journal of Economic Perspectives, 250 (2011), 91–114.10.1257/jep.25.1.91CrossRefGoogle Scholar
Cherry, S. F.; Jiang, E. X.; Matvos, G.; Piskorski, T.; and Seru, A. “Government and Private Household Debt Relief during COVID-19.” NBER Working Paper No. 28357 (2021).10.3386/w28357CrossRefGoogle Scholar
City of Houston. “Ord. No. 85-1705, § 1, 9-25-85.” Code of Ordinances, Chapter 19 (1985).Google Scholar
Collier, B., and Ellis, C. “Housing Consumption Shocks and Demand for Credit.” SSRN Working Paper No. 3839044 (2021).Google Scholar
Collier, B. L.; Haughwout, A. F.; Kunreuther, H. C.; and Michel-Kerjan, E. O.. “Firms’ Management of Infrequent Shocks.” Journal of Money, Credit and Banking, 520 (2020b), 1329–1359.10.1111/jmcb.12674CrossRefGoogle Scholar
Collier, B.; Powell, L.; Ragin, M. A.; and You, X.. “Financing Severe Climate Risk: Evidence from Businesses during Hurricane Harvey.” SSRN Working Paper No. 3741812 (2020a).10.2139/ssrn.3741812CrossRefGoogle Scholar
Davidoff, T. “Can “High Costs” Justify Weak Demand for the Home Equity Conversion Mortgage?” Review of Financial Studies, 280 (2015), 2364–2398.10.1093/rfs/hhv019CrossRefGoogle Scholar
Deryugina, T.; Kawano, L.; and Levitt, S.. “The Economic Impact of Hurricane Katrina on Its Victims: Evidence from Individual Tax Returns.” American Economic Journal: Applied Economics 100 (2018), 202–233.Google Scholar
Edmiston, K. D. “Financial Vulnerability and Personal Finance Outcomes of Natural Disasters.” Research Working Paper 17-09, The Federal Reserve of Kansas City (2017).10.18651/RWP2017-09CrossRefGoogle Scholar
Emanuel, K. “Assessing the Present and Future Probability of Hurricane Harvey’s Rainfall.” Proceedings of the National Academy of Sciences, 1140 (2017), 12681–12684.10.1073/pnas.1716222114CrossRefGoogle Scholar
FEMA. Dataset: High-Water-Mark Depth Grids Harvey. Data retrieved from the Federal Emergency Management Agency on Dec. 5, 2017 (2017a).Google Scholar
FEMA. Dataset: Texas Inventory of Structures. Data retrieved from the Federal Emergency Management Agency on Dec. 5, 2017 (2017b).Google Scholar
FEMA. Dataset: National Flood Hazard Zones Map. Data retrieved from the Federal Emergency Management Agency on Dec. 5, 2017 (2017c).Google Scholar
FEMA. Dataset: Flood Insurance Policies. Data retrieved from the Federal Emergency Management Agency on June 11, 2019 (2017d).Google Scholar
Gallagher, J., and Hartley, D. “Household Finance after a Natural Disaster: The Case of Hurricane Katrina.” American Economic Journal: Economic Policy, 90 (2017), 199–228.Google Scholar
Gallagher, J.; Hartley, D.; and Rohlin, S.. “Weathering an Unexpected Financial Shock: The Role of Federal Disaster Assistance on Household Finance and Business Survival.” Journal of the Association of Environmental and Resource Economists, 100 (2023), 525–567.10.1086/721654CrossRefGoogle Scholar
Gelman, M.; Kariv, S.; Shapiro, M. D.; Silverman, D.; and Tadelis, S.. “How Individuals Respond to a Liquidity Shock: Evidence from the 2013 Government Shutdown.” Journal of Public Economics, 189 (2020), 103917.10.1016/j.jpubeco.2018.06.007CrossRefGoogle Scholar
Groen, J. A.; Kutzbach, M. J.; and Polivka, A. E.. “Storms and Jobs: The Effect of Hurricanes on Individuals’ Employment and Earnings over the Long Term.” Journal of Labor Economics, 380 (2020), 653–685.10.1086/706055CrossRefGoogle Scholar
HCFCD. “Hurricane Harvey: Impact and Response in Harris County.” Technical Report, Harris County Flood Control District, 05 (2018).Google Scholar
Herkenhoff, K. F., and Ohanian, L. E.. “The Impact of Foreclosure Delay on U.S. Employment.” Review of Economic Dynamics, 31 (2019), 63–83.10.1016/j.red.2018.11.002CrossRefGoogle Scholar
Hundtofte, S.; Olafsson, A.; and Pagel, M.. “Credit Smoothing.” NBER Working Paper No. 26354 (2019).10.3386/w26354CrossRefGoogle Scholar
Keys, B. J.; Pope, D. G.; and Pope, J. C.. “Failure to Refinance.” Journal of Financial Economics, 1220 (2016), 482–499.10.1016/j.jfineco.2016.01.031CrossRefGoogle Scholar
Keys, B.; Tobacman, J.; and Wang, J.. “Rainy Day Credit? Unsecured Credit and Local Employment Shocks.” Working Paper, University of Pennsylvania (2017).Google Scholar
Keys, B. J., and Wang, J.. “Minimum Payments and Debt Paydown in Consumer Credit Cards.” Journal of Financial Economics, 1310 (2019), 528–548.10.1016/j.jfineco.2018.09.009CrossRefGoogle Scholar
Kim, Y. S.; Lee, D.; Scharlemann, T.; and Vickery, J.. “Intermediation Frictions in Debt Relief: Evidence from CARES Act Forbearance.” SSRN Working Paper No. 3919252 (2021).10.2139/ssrn.3919252CrossRefGoogle Scholar
Kousky, C.; Palim, M.; and Pan, Y.. “Flood Damage and Mortgage Credit Risk: A Case Study of Hurricane Harvey.” Journal of Housing Research, 290 (2020), S86–S120.10.1080/10527001.2020.1840131CrossRefGoogle Scholar
Laibson, D.; Agarwal, S.; Gabaix, X.; and Driscoll, J. C.. “The Age of Reason: Financial Decisions over the Life Cycle and Implications for Regulation.” Brookings Papers on Economic Activity, 2 (2009), 51–118.Google Scholar
Laibson, D.; Repetto, A.; and Tobacman, J.. “A Debt Puzzle.” NBER Working Paper No. 7879 (2000).10.3386/w7879CrossRefGoogle Scholar
Lambie-Hanson, L.; Vickery, J.; and Akana, T.. “Recent Data on Mortgage Forbearance: Borrower Uptake and Understanding of Lender Accommodations.” Research Brief, Federal Reserve Bank of Philadelphia (2021).Google Scholar
Lusardi, A., and Tufano, P.. “Debt Literacy, Financial Experiences, and Overindebtedness.” Journal of Pension Economics and Finance, 140 (2015), 332–368.10.1017/S1474747215000232CrossRefGoogle Scholar
Mian, A.; Rao, K.; and Sufi, A.. “Household Balance Sheets, Consumption, and the Economic Slump.” Quarterly Journal of Economics, 1280 (2013), 1687–1726.10.1093/qje/qjt020CrossRefGoogle Scholar
Michel-Kerjan, E. O. “Catastrophe Economics: The National Flood Insurance Program.” Journal of Economic Perspectives, 240 (2010), 165–186.10.1257/jep.24.4.165CrossRefGoogle Scholar
Mintel. Dataset: Cross-Sectional Survey of Credit Market Mailings. Data retrieved from Comperemedia on June 9, 2022 (2022).Google Scholar
Ponce, A.; Seira, E.; and Zamarripa, G.. “Borrowing on the Wrong Credit Card? Evidence from Mexico.” American Economic Review, 1070 (2017), 1335–1361.10.1257/aer.20120273CrossRefGoogle Scholar
Schwartz, J.; Glanz, J.; and Lehren, A.. “Builders Said Their Homes Were Out of a Flood Zone. Then Harvey Came.” New York Times (2017). https://www.nytimes.com/2017/12/02/us/houston-floodzone-hurricane-harvey.html.Google Scholar
Sun, L., and Abraham, S.. “Estimating Dynamic Treatment Effects in Event Studies with Heterogeneous Treatment Effects.” Journal of Econometrics, 225 (2020), 175–199.10.1016/j.jeconom.2020.09.006CrossRefGoogle Scholar
U.S. Census Bureau. 2013–2017 American Community Survey 5-Year Estimates. Data Retrieved From the U.S. Census Bureau on Oct. 21, 2019 (2017).Google Scholar
Wagner, K. R. H. “Adaptation and Adverse Selection in Markets for Natural Disaster Insurance.” American Economic Journal: Economic Policy, 140 (2022), 380–421.Google Scholar
Woodward, S. E., and Hall, R. E.. “Diagnosing Consumer Confusion and Sub-Optimal Shopping Effort: Theory and Mortgage-Market Evidence.” American Economic Review, 1020 (2012), 3249–3276.10.1257/aer.102.7.3249CrossRefGoogle Scholar
Zhao, C.; Farrell, D.; and Greig, F.. “Did Mortgage Forbearance Reach the Right Homeowners? Income and Liquid Assets Trends for Homeowners during the COVID-19 Pandemic.” Policy Brief, J.P. Morgan Chase Institute (2020). https://www.jpmorganchase.com/institute/research/household-debt/report-did-mortgage-forbearance-reach-the-right-homeowners.Google Scholar
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