Empirical Investigation of the Effect of Anti-Price-Gouging Law on Postdisaster Reconstruction Wages
Publication: Journal of Legal Affairs and Dispute Resolution in Engineering and Construction
Volume 16, Issue 4
Abstract
Anti-price-gouging laws are enforced by a disaster declaration to control reconstruction labor and material costs in the wake of disasters. Reconstruction costs provide an important signal in the postdisaster reconstruction resource market, enabling consumers, suppliers, and policymakers to understand the postdisaster situations and prepare reconstruction strategies. However, the impact of anti-price-gouging law on postdisaster reconstruction costs has not been examined in the literature. The objective of this study is to investigate the effect of the anti-price-gouging law on postdisaster reconstruction wages at the US. County level following major disasters declared by the Federal Emergency Management Agency (FEMA). Panel data models with a difference-in-differences (DID) specification were implemented to quantify the effect of the anti-price-gouging law on postdisaster reconstruction wages. The DID specification was used to compare the pre and postchanges in reconstruction wages in the US counties subject to the state-level anti-price-gouging law relative to the wages in the US counties not subject to the law, controlling for endogenous county-specific heterogeneities. It is found that the anti-price-gouging laws reduced quarterly reconstruction wages by 2.5 percent in disaster-stricken counties. This finding indicates the effectiveness of anti-price-gouging laws as a price control to mitigate postdisaster reconstruction cost inflation. The US counties subject to the anti-price-gouging law enforcement have experienced less expensive reconstruction labor costs compared to the US counties not subject to the anti-price-gouging law enforcement. The findings of this research provide empirical evidence about the function of anti-price-gouging laws as a reconstruction cost control and present policy implications about the wage effect of anti-price-gouging laws in the postdisaster reconstruction market.
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Data Availability Statement
All data, models, or codes supporting this study’s findings are available from the corresponding author upon reasonable request.
Acknowledgments
This research is based upon work supported by the National Science Foundation under Grant No. 2155201.
References
Works Cited
Ahmadi, E. N., and M. Shahandashti. 2020. “Post-hazard labor wage fluctuations: A comparative empirical analysis among different sub-sectors of the U.S. construction sector.” J. Financ. Manage. Property Constr. 25 (3): 313–330. https://doi.org/10.1108/JFMPC-07-2019-0063.
Ahmadi, N., and S. M. Shahandashti. 2018. “Role of predisaster construction market conditions in influencing postdisaster demand surge.” Nat. Hazards Rev. 19 (3): 04018010. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000296.
Arneson, E. 2019. “Construction capacity and residential roofing reconstruction after hurricanes in Texas and Puerto Rico.” In Proc., 55th ASC Annual Int. Conf. Proc. Associate. Denver: Univ. of Denver.
Arneson, E., A. Javernick-Will, M. Hallowell, and R. Corotis. 2019. “Predicting postdisaster residential housing reconstruction based on market resources.” Nat. Hazards Rev. 21 (1): 04019010. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000339.
Barbosa, F., J. Woetzel, and J. Mischke. 2017. Reinventing construction: A route of higher productivity. New York: McKinsey Global Institute.
Barth, E., and H. Dale-Olsen. 2011. “Employer size or skill group size effect on wages?” ILR Rev. 64 (2): 341–355. https://doi.org/10.1177/001979391106400207.
Beatty, T. K. M., G. E. Lade, and J. Shimshack. 2021. “Hurricanes and gasoline price gouging.” J. Assoc. Environ. Resource Econ. 8 (2): 347–374.
Benmelech, E., N. K. Bergman, and H. Kim. 2022. “Strong employers and weak employees how does employer concentration affect wages?” J. Human Resources 57 (Sep): 200–250.
Blanchflower, D. G., and A. J. Oswald. 1995. “An introduction to the wage curve.” J. Econ. Perspectives 9 (3): 153–167. https://doi.org/10.1257/jep.9.3.153.
Breusch, T. S., and A. R. Pagan. 1980. “The Lagrange multiplier test and its applications to model specification in econometrics.” Rev. Econ. Studies 47 (1): 239–253. https://doi.org/10.2307/2297111.
Chang, Y., S. Wilkinson, D. Brunsdon, E. Seville, and R. Potangaroa. 2011. “An integrated approach: Managing resources for post-disaster reconstruction.” Disasters 35 (4): 739–765. https://doi.org/10.1111/j.1467-7717.2011.01240.x.
Culpepper, D., and W. Block. 2008. “Price gouging in the Katrina Aftermath: Free markets at work.” Int. J. Soc. Econ. 35 (7): 512–520. https://doi.org/10.1108/03068290810886911.
Diehlmann, F., M. Lüttenberg, L. Verdonck, M. Wiens, A. Zienau, and F. Schultmann. 2021. “Public-private collaborations in emergency logistics: A framework based on logistical and game-theoretical concepts.” Saf. Sci. 141 (Sep): 105301. https://doi.org/10.1016/j.ssci.2021.105301.
Dikmen, N., and S. Tahira Elias-Ozkan. 2016. “Housing after disaster: A post occupancy evaluation of a reconstruction project.” Int. J. Disaster Risk Reduct. 19 (Oct): 167–178. https://doi.org/10.1016/j.ijdrr.2016.08.020.
Döhrmann, D., M. Gürtler, and M. Hibbeln. 2017. “Insured loss inflation: How natural catastrophes affect reconstruction costs: Insured loss inflation.” J. Risk Insurance 84 (3): 851–879. https://doi.org/10.1111/jori.12134.
Farooghi, F., N. Ahmadi, and M. Shahandashti. 2020. “Quantifying relationship between pre-disaster construction market conditions and post-disaster construction labor wage fluctuations in the gulf coast construction industry.” In Proc., Construction Research Congress 2020, 812–822. Reston, VA: ASCE.
Farooghi, F., S. Shahooei, and M. Shahandashti. 2021. “Examining the effect of weather-related natural disasters on labor wage fluctuations in transportation construction.” In Proc., Int. Conf. on Transportation and Development 2021, 167–177. Reston, VA: ASCE.
Felsenstein, D., and A. Y. Grinberger. 2020. “Cascading effects of a disaster on the labor market over the medium to long term.” Int. J. Disaster Risk Reduct. 47 (5): 101524. https://doi.org/10.1016/j.ijdrr.2020.101524.
Gebrehiwet, T., and H. Luo. 2017. “Analysis of delay impact on construction project based on RII and correlation coefficient: Empirical study.” Procedia Eng. 196 (Jan): 366–374. https://doi.org/10.1016/j.proeng.2017.07.212.
Green, C. P., J. S. Heywood, and N. Theodoropoulos. 2021. “Hierarchy and the employer size effect on wages: Evidence from Britain.” Economica 88 (351): 671–696. https://doi.org/10.1111/ecca.12364.
Hallegatte, S. 2015. The Indirect cost of natural disasters and an economic definition of macroeconomic resilience. Washington, DC: World Bank.
Halunga, A. G., C. D. Orme, and T. Yamagata. 2017. “A heteroskedasticity robust Breusch–Pagan test for contemporaneous correlation in dynamic panel data models.” J. Econ. 198 (2): 209–230. https://doi.org/10.1016/j.jeconom.2016.12.005.
Hausman, J. A. 1978. “Specification tests in econometrics.” Econ.: J. Econ. Soc. 46 (6): 1251–1271. https://doi.org/10.2307/1913827.
Jiang, B., D. Rigobon, and R. Rigobon. 2022. “From just-in-time, to just-in-case, to just-in-worst-case: Simple models of a global supply chain under uncertain aggregate shocks.” IMF Econ. Rev. 70 (1): 141–184. https://doi.org/10.1057/s41308-021-00148-2.
Khodahemmati, N., and M. Shahandashti. 2020. “Diagnosis and quantification of postdisaster construction material cost fluctuations.” Nat. Hazards Rev. 21 (3): 04020019. https://doi.org/10.1061/(ASCE)NH.1527-6996.0000381.
Kim, S., and M. Shahandashti. 2022a. “Characterizing relationship between demand surge and post-disaster reconstruction capacity considering poverty rates.” Int. J. Disaster Risk Reduct. 76 (4): 103014. https://doi.org/10.1016/j.ijdrr.2022.103014.
Kim, S., and M. Shahandashti. 2022b. “Diagnosing and quantifying post-disaster pipe material cost fluctuations.” In Pipelines 2022, 185–195. Reston, VA: ASCE.
Kim, S., M. Shahandashti, and M. Yasar. 2023. “The effect of anti-price-gouging law on disaster recovery speed: Evidence from reconstruction in Virginia and Maryland after Hurricane Sandy.” Nat. Hazards Rev. 24 (4): 04023045. https://doi.org/10.1061/NHREFO/NHENG-1865.
Kim, S., M. Yasar, and M. Shahandashti. 2022. The spatiotemporal effect of disasters on construction wages: A spatial difference-in-differences analysis. Amsterdam, Netherlands: Elsevier.
Kim, S., C. Young Choi, M. Shahandashti, and K. Rok Ryu. 2021. “Improving accuracy in predicting city-level construction cost indices by combining linear ARIMA and nonlinear ANNs.” J. Manage. Eng. 38 (2): 04021093. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001008.
Lee, D. R. 2015. “Making the case against ‘Price Gouging’ laws: A challenge and an opportunity.” Independent Rev. 19 (4): 583–598.
NCSL (National Conference of State Legislatures). 2023. “Price Gouging State Statutes.” Accessed July 10, 2023. https://www.ncsl.org/financial-services/price-gouging-state-statutes.
Oladosu, G. 2022. “Bubbles in US gasoline prices: Assessing the role of hurricanes and anti–price gouging laws.” J. Commodity Markets 27 (4): 100219. https://doi.org/10.1016/j.jcomm.2021.100219.
Papke, L. E. 1994. “Tax policy and urban development.” J. Public Econ. 54 (1): 37–49. https://doi.org/10.1016/0047-2727(94)90069-8.
Peacock, W. G., S. V. Zandt, Y. Zhang, and W. Highfield. 2022. “Inequities in long-term housing recovery after disasters: Journal of the american planning association, 2014.” In The affordable housing reader, 415–433. London: Routledge.
Rapp, G. C. 2006. “Gouging: Terrorist attacks, hurricanes, and the legal and economic aspects of post-disaster price regulation.” Ky. LJ 94 (3): 535.
Richards, T. J. 2022. “Agribusiness and policy failures.” Appl. Econ. Perspect. Policy 44 (1): 350–363. https://doi.org/10.1002/aepp.13205.
Rinz, K. 2022. “Labor market concentration, earnings, and inequality.” J. Human Resources 57 (Sep): 251–283. https://doi.org/10.3368/jhr.monopsony.0219-10025R1.
Tabe, K. M. 2019. Effect of Texas’ anti-price-gouging law on retail gasoline prices: What do we know? What can we learn? Boston, MA: Northeastern Univ.
Tarrant, M. S. 2015. The effects of anti-price-gouging laws in the wake of a Hurricane. Bozeman, MT: Montana State Univ. Bozeman.
Tesfaye, W., and N. Tirivayi. 2020. “Crop diversity, household welfare and consumption smoothing under risk: Evidence from Rural Uganda.” World Dev. 125 (Jan): 104686. https://doi.org/10.1016/j.worlddev.2019.104686.
Wallisch, S. 2017. “NAHB urges feds to watch for price-gouging—Especially for lumber–in Hurricane’s wake.” Accessed September 27, 2022. https://www.prosalesmagazine.com/news/nahb-urges-feds-to-watch-for-price-gouging-especially-for-lumber-in-hurricanes-wake_o.
Warkentin, S. 2021. “Price gouging in the time of COVID-19: How US anti-price-gouging laws fail consumers.” Md. J. Int. L. 36 (1): 78.
Wilson, D. 2014. “Price gouging, construction cartels or repair monopolies: Competition law issues following natural disasters.” Canterbury L. Rev. 20 (Mar): 53–90. https://doi.org/10.3316/informit.513584717205498.
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© 2024 American Society of Civil Engineers.
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Received: Oct 6, 2023
Accepted: Apr 30, 2024
Published online: Jul 27, 2024
Published in print: Nov 1, 2024
Discussion open until: Dec 27, 2024
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