The Impacts of Wildfires and Wildfire-induced Air Pollution on House Prices in the United States

References

1. 1. Aguilera, R.,
   2. Corringham, T.,
   3. Gershunov, A., &
   4. Benmarhnia, T.

   (2021). Wildfire smoke impacts respiratory health more than fine particles from other sources: Observational evidence from Southern California. Nature Communications, 12(1), 1–8.

   OpenUrl
2. 1. Athukorala, W.,
   2. Martin, W.,
   3. Neelawala, P.,
   4. Rajapaksa, D., &
   5. Wilson, C.

   (2016). Impact of wildfires and floods on property values: A before and after analysis. The Singapore Economic Review, 61(01), 1640002.

   OpenUrl
3. 1. Badger, S. G., &
   2. Foley, M.

   (2019, September 1). Large-loss fires and explosions in the United States during 2018. National Fire Protection Association. https://www.nfpa.org/News-and-Research/Publications-and-media/NFPA-Journal/2019/November-December-2019/Features/Large-Loss
4. 1. Bakian, A. V.,
   2. Huber, R. S.,
   3. Coon, H.,
   4. Gray, D.,
   5. Wilson, P.,
   6. McMahon, W. M., &
   7. Renshaw, P. F.

   (2015). Acute air pollution exposure and risk of suicide completion. American Journal of Epidemiology, 181(5), 295–303.

   OpenUrlCrossRefPubMed
5. 1. Banzhaf, H. S., &
   2. Chupp, B. A.

   (2010). Heterogeneous harm vs. spatial spillovers: Environmental federalism and US air pollution (Working Paper No. 15666). National Bureau of Economic Research. https://doi.org/10.3386/w15666
6. 1. Baron, R. M., &
   2. Kenny, D. A.

   (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology, 51, 1173–1182. https://doi.org/10.1037/0022-3514.51.6.1173

   OpenUrlCrossRefPubMedWeb of Science
7. 1. Barwick, P. J.,
   2. Li, S.,
   3. Rao, D., &
   4. Zahur, N. B.

   (2018). The morbidity cost of air pollution: Evidence from consumer spending in China (SSRN Scholarly Paper No. 2999068). https://doi.org/10.2139/ssrn.2999068
8. 1. Bayer, P.,
   2. Keohane, N., &
   3. Timmins, C.

   (2009). Migration and hedonic valuation: The case of air quality. Journal of Environmental Economics and Management, 58(1), 1–14. https://doi.org/10.1016/j.jeem.2008.08.004

   OpenUrlCrossRefWeb of Science
9. 1. Braithwaite, I.,
   2. Zhang, S.,
   3. Kirkbride, J. B.,
   4. Osborn, D. P., &
   5. Hayes, J. F.

   (2019). Air pollution (particulate matter) exposure and associations with depression, anxiety, bipolar, psychosis and suicide risk: A systematic review and meta-analysis. Environmental Health Perspectives, 127(12), 126002.

   OpenUrlPubMed
10. 1. Brook, R. D.,
    2. Rajagopalan, S.,
    3. Pope, C. A.,
    4. Brook, J. R.,
    5. Bhatnagar, A.,
    6. Diez-Roux, A. V.,
    7. Holguin, F.,
    8. Hong, Y.,
    9. Luepker, R. V.,
    10. Mittleman, M. A.,
    11. Peters, A.,
    12. Siscovick, D.,
    13. Smith, S. C.,
    14. Whitsel, L.,
    15. Kaufman, J. D., & American Heart Association Council on Epidemiology and Prevention, Council on the Kidney in Cardiovascular Disease, and Council on Nutrition, Physical Activity and Metabolism

    . (2010). Particulate matter air pollution and cardiovascular disease: An update to the scientific statement from the American Heart Association. Circulation, 121(21), 2331–2378. https://doi.org/10.1161/CIR.0b013e3181dbece1

    OpenUrlAbstract/FREE Full Text
11. 1. Burke, M.,
    2. Driscoll, A.,
    3. Heft-Neal, S.,
    4. Xue, J.,
    5. Burney, J., &
    6. Wara, M.

    (2021). The changing risk and burden of wildfire in the United States. Proceedings of the National Academy of Sciences, 118(2), e2011048118. https://doi.org/10.1073/pnas.2011048118

    OpenUrlAbstract/FREE Full Text
12. 1. Burkhardt, J.,
    2. Bayham, J.,
    3. Wilson, A.,
    4. Berman, J. D.,
    5. O’Dell, K.,
    6. Ford, B.,
    7. Fischer, E. V., &
    8. Pierce, J. R.

    (2020). The relationship between monthly air pollution and violent crime across the United States. Journal of Environmental Economics and Policy, 9(2), 188–205.

    OpenUrl
13. 1. Burkhardt, J.,
    2. Bayham, J.,
    3. Wilson, A.,
    4. Carter, E.,
    5. Berman, J. D.,
    6. O’Dell, K.,
    7. Ford, B.,
    8. Fischer, E. V., &
    9. Pierce, J. R.

    (2019). The effect of pollution on crime: Evidence from data on particulate matter and ozone. Journal of Environmental Economics and Management, 98, 102267.

    OpenUrl
14. 1. Chay, K. Y., &
    2. Greenstone, M.

    (2005). Does air quality matter? Evidence from the housing market. Journal of Political Economy, 113(2), 376–424.

    OpenUrlCrossRefWeb of Science
15. 1. Chen, S.,
    2. Chen, Y.,
    3. Lei, Z., &
    4. Tan-Soo, J.-S.

    (2021). Chasing clean air: Pollution-induced travels in China. Journal of the Association of Environmental and Resource Economists, 8(1), 59–89. https://doi.org/10.1086/711476

    OpenUrl
16. 1. Chen, X., &
    2. Ye, J.

    (2019). When the wind blows: Spatial spillover effects of urban air pollution in China. Journal of Environmental Planning and Management, 62(8), 1359–1376. https://doi.org/10.1080/09640568.2018.1496071

    OpenUrl
17. 1. Dawson, J. P.,
    2. Bloomer, B. J.,
    3. Winner, D. A., &
    4. Weaver, C. P.

    (2014). Understanding the meteorological drivers of U.S. particulate matter concentrations in a changing climate. Bulletin of the American Meteorological Society, 95(4), 521–532.

    OpenUrl
18. 1. Dittrich, R., &
    2. McCallum, S.

    (2020). How to measure the economic health cost of wildfires–A systematic review of the literature for northern America. International Journal of Wildland Fire, 29(11), 961–973.

    OpenUrl
19. 1. Doerr, S. H., &
    2. Santín, C.

    (2016). Global trends in wildfire and its impacts: Perceptions versus realities in a changing world. Philosophical Transactions of the Royal Society B: Biological Sciences, 371(1696), 20150345.

    OpenUrlCrossRefPubMed
20. 1. Donovan, G. H.,
    2. Champ, P. A., &
    3. Butry, D. T.

    (2007). Wildfire Risk and Housing Prices: A Case Study from Colorado Springs. Land Economics, 83(2), 217–233.

    OpenUrlAbstract/FREE Full Text
21. 1. Fontenla, M.,
    2. Ben Goodwin, M., &
    3. Gonzalez, F.

    (2019). Pollution and the choice of where to work and live within Mexico City. Latin American Economic Review, 28(1), 1–17.

    OpenUrl
22. 1. Gładka, A.,
    2. Rymaszewska, J., &
    3. Zatoński, T.

    (2018). Impact of air pollution on depression and suicide. Int J Occup Med Environ Health, 31(6), 711–721.

    OpenUrl
23. 1. Hammer, M. S.,
    2. van Donkelaar, A.,
    3. Li, C.,
    4. Lyapustin, A.,
    5. Sayer, A. M.,
    6. Hsu, N. C.,
    7. Levy, R. C.,
    8. Garay, M. J.,
    9. Kalashnikova, O. V.,
    10. Kahn, R. A.,
    11. Brauer, M.,
    12. Apte, J. S.,
    13. Henze, D. K.,
    14. Zhang, L.,
    15. Zhang, Q.,
    16. Ford, B.,
    17. Pierce, J. R., &
    18. Martin, R. V.

    (2020). Global estimates and long-term trends of fine particulate matter concentrations (1998–2018). Environmental Science & Technology, 54(13), 7879–7890. https://doi.org/10.1021/acs.est.0c01764

    OpenUrl
24. 1. Hayes, A. F.

    (2017). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. Guilford publications.
25. 1. Hoek, G.,
    2. Krishnan, R. M.,
    3. Beelen, R.,
    4. Peters, A.,
    5. Ostro, B.,
    6. Brunekreef, B., &
    7. Kaufman, J. D.

    (2013). Long-term air pollution exposure and cardio-respiratory mortality: A review. Environmental Health, 12(1), 43. https://doi.org/10.1186/1476-069X-12-43

    OpenUrl
26. 1. Huang, X., &
    2. Lanz, B.

    (2018). The value of air quality in Chinese cities: Evidence from labor and property market outcomes. Environmental and Resource Economics, 71(4), 849–874.

    OpenUrl
27. 1. Hyslop, N. P.

    (2009). Impaired visibility: The air pollution people see. Atmospheric Environment, 43(1), 182–195.

    OpenUrl
28. 1. Imai, K.,
    2. Keele, L.,
    3. Tingley, D., &
    4. Yamamoto, T.

    (2011). Unpacking the black box of causality: Learning about causal mechanisms from experimental and observational studies. American Political Science Review, 105(4), 765–789.

    OpenUrlCrossRef
29. 1. Khawand, C.

    (2015). Air quality, mortality, and perinatal health: Causal evidence from wildfires (No. pkh318). Job Market Papers. https://ideas.repec.org/p/jmp/jm2015/pkh318.html
30. 1. Kochi, I.,
    2. Donovan, G. H.,
    3. Champ, P. A., &
    4. Loomis, J. B.

    (2010). The economic cost of adverse health effects from wildfire-smoke exposure: A review. International Journal of Wildland Fire, 19(7), 803–817.

    OpenUrl
31. 1. Lavín, F. V.,
    2. Dresdner, J., &
    3. Aguilar, R.

    (2011). The value of air quality and crime in Chile: A hedonic wage approach. Environment and Development Economics, 16(3), 329–355.

    OpenUrl
32. 1. Lin, G.-Z.,
    2. Li, L.,
    3. Song, Y.-F.,
    4. Zhou, Y.-X.,
    5. Shen, S.-Q., &
    6. Ou, C.-Q.

    (2016). The impact of ambient air pollution on suicide mortality: A case-crossover study in Guangzhou, China. Environmental Health, 15(1), 1–8.

    OpenUrl
33. 1. Linden, L., &
    2. Rockoff, J. E.

    (2008). Estimates of the impact of crime risk on property values from Megan’s laws. American Economic Review, 98(3), 1103–1127.

    OpenUrlCrossRefWeb of Science
34. 1. Loomis, J.

    (2004). Do nearby forest fires cause a reduction in residential property values? Journal of Forest Economics, 10(3), 149–157.

    OpenUrl
35. 1. Lu, J. G.,
    2. Lee, J. J.,
    3. Gino, F., &
    4. Galinsky, A. D.

    (2018). Polluted morality: Air pollution predicts criminal activity and unethical behavior. Psychological Science, 29(3), 340–355.

    OpenUrl
36. 1. Luechinger, S.

    (2010). Life satisfaction and transboundary air pollution. Economics Letters, 107(1), 4–6. https://doi.org/10.1016/j.econlet.2009.07.007

    OpenUrl
37. 1. Ma, L.,
    2. Walls, M.,
    3. Wibbenmeyer, M., &
    4. Lennon, C.

    (2023). Risk Disclosure and Home Prices: Evidence from California Wildfire Hazard Zones. Land Economics. https://doi.org/10.3368/le.100.1.102122-0087R
38. 1. MacKinnon, D. P.,
    2. Krull, J. L., &
    3. Lockwood, C. M.

    (2000). Equivalence of the mediation, confounding and suppression effect. Prevention Science, 1(4), 173–181.

    OpenUrl
39. 1. Manson, S.,
    2. Schroeder, J.,
    3. Van Riper, D.,
    4. Kugler, T., &
    5. Ruggles, S.

    (2021). IPUMS National Historical Geographic Information System: Version 16.0 [Data set]. IPUMS. https://doi.org/10.18128/D050.V16.0
40. 1. McCoy, S. J., &
    2. Walsh, R. P.

    (2018). Wildfire risk, salience & housing demand. Journal of Environmental Economics and Management, 91, 203–228. https://doi.org/10.1016/j.jeem.2018.07.005

    OpenUrl
41. 1. Miller, N.,
    2. Molitor, D., &
    3. Zou, E.

    (2017). Blowing smoke: Health impacts of wildfire plume dynamics. Environmental And Resource Economics At The University Of Illinois.
42. 1. Mocko, D., & NASA/GSFC/HSL

    . (2012). NLDAS Primary Forcing Data L4 Monthly 0.125 x 0.125 degree V002. 2012 [Data set]. Goddard Earth Sciences Data and Information Services Center (GES DISC). https://doi.org/10.5067/Z62LT6J96R4F
43. 1. Mueller, J.,
    2. Loomis, J., &
    3. González-Cabán, A.

    (2009). Do repeated wildfires change homebuyers’ demand for homes in high-risk areas? A hedonic analysis of the short and long-term effects of repeated wildfires on house prices in Southern California. The Journal of Real Estate Finance and Economics, 38(2), 155–172.

    OpenUrl
44. 1. Mueller, J. M.,
    2. Lima, R. E.,
    3. Springer, A. E., &
    4. Schiefer, E.

    (2018). Using matching methods to estimate impacts of wildfire and postwildfire flooding on house prices. Water Resources Research, 54(9), 6189–6201.

    OpenUrl
45. 1. Mueller, J. M., &
    2. Loomis, J. B.

    (2014). Does the estimated impact of wildfires vary with the housing price distribution? A quantile regression approach. Land Use Policy, 41, 121–127.

    OpenUrlCrossRef
46. 1. Neary, D. G., &
    2. Leonard, J. M.

    (2019). Physical Vulnerabilities from Wildfires: Flames, Floods, and Debris Flows. In Natural Resources Management and Biological Sciences. IntechOpen.
47. 1. Neary, D. G.,
    2. Ryan, K. C., &
    3. DeBano, L. F.

    (2005). Wildland fire in ecosystems: Effects of fire on soils and water. Gen. Tech. Rep. RMRS-GTR-42-Vol. 4. Ogden, UT: US Department of Agriculture, Forest Service, Rocky Mountain Research Station. 250 p., 42.
48. 1. Nolte, C.,
    2. Boyle, K. J.,
    3. Chaudhry, A. M.,
    4. Clapp, C. M.,
    5. Guignet, D.,
    6. Hennighausen, H.,
    7. Kushner, I.,
    8. Liao, Y.,
    9. Mamun, S.,
    10. Pollack, A.,
    11. Richardson, J.,
    12. Sundquist, S.,
    13. Swedberg, K., &
    14. Uhl, J. H.

    (2021). Studying the Impacts of Environmental Amenities and Hazards with Nationwide Property Data: Best Data Practices for Interpretable and Reproducible Analyses (SSRN Scholarly Paper No. 3900806). https://doi.org/10.2139/ssrn.3900806
49. 1. Radeloff, V. C.,
    2. Helmers, D. P.,
    3. Kramer, H. A.,
    4. Mockrin, M. H.,
    5. Alexandre, P. M.,
    6. Bar Massada, A.,
    7. Butsic, V.,
    8. Hawbaker, T. J.,
    9. Martinuzzi, S.,
    10. Syphard, A. D.

    , & others. (2017). The 1990-2010 wildland-urban interface of the conterminous United States-geospatial data.
50. 1. Radeloff, V. C.,
    2. Helmers, D. P.,
    3. Kramer, H. A.,
    4. Mockrin, M. H.,
    5. Alexandre, P. M.,
    6. Bar-Massada, A.,
    7. Butsic, V.,
    8. Hawbaker, T. J.,
    9. Martinuzzi, S.,
    10. Syphard, A. D.

    , & others. (2018). Rapid growth of the US wildland-urban interface raises wildfire risk. Proceedings of the National Academy of Sciences, 115(13), 3314–3319.

    OpenUrlAbstract/FREE Full Text
51. 1. Sandberg, D. V.,
    2. Ottmar, R. D., &
    3. Peterson, J. L.

    (2002). Wildland fire in ecosystems: Effects of fire on air. Gen. Tech. Rep. RMRS-GTR-42-Vol. 5. Ogden, UT: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station. 79 p., 042. https://doi.org/10.2737/RMRS-GTR-42-V5
52. 1. Short, K. C.

    (2021). Spatial wildfire occurrence data for the United States, 1992-2018 [FPA_FOD_20210617] (5th Edition) [Data set]. Forest Service Research Data Archive. https://doi.org/10.2737/RDS-2013-0009.5
53. 1. Stetler, K. M.,
    2. Venn, T. J., &
    3. Calkin, D. E.

    (2010). The effects of wildfire and environmental amenities on property values in northwest Montana, USA. Ecological Economics, 69(11), 2233–2243.

    OpenUrl
54. 1. Stone, S. L.,
    2. Anderko, L.,
    3. Berger, M.,
    4. Butler, C.,
    5. Cascio, W.,
    6. Clune, A.

    , & others. (2019). Wildfire smoke: A guide for public health officials. US Environmental Protection Agency.
55. 1. Tan-Soo, J.-S.

    (2018). Valuing Air Quality in Indonesia Using Households’ Locational Choices. Environmental and Resource Economics, 71(3), 755–776. https://doi.org/10.1007/s10640-017-0182-z

    OpenUrl
56. 1. Urbanski, S. P.,
    2. Hao, W. M., &
    3. Baker, S.

    (2008). Chemical composition of wildland fire emissions. Developments in Environmental Science, 8, 79–107.

    OpenUrl
57. U.S. Bureau of Labor Statistics. (n.d.). Chained CPI for All Urban Consumers, U.S. city average (C-CPI-U) (Series Id: SUUR0000SAH) [Data set]. U.S. Bureau of Labor Statistics. Retrieved May 13, 2021, from https://www.bls.gov/data/home.htm
58. U.S. Environmental Protection Agency. (2019). Integrated Science Assessment (ISA) for Particulate Matter (Final Report, Dec 2019) (EPA/600/R-19/188). U.S. Environmental Protection Agency. https://cfpub.epa.gov/ncea/isa/recordisplay.cfm?deid=347534
59. U.S. Environmental Protection Agency. (2020). Policy Assessment for the Review of the National Ambient Air Quality Standards for Particulate Matter. U.S. Environmental Protection Agency. https://www.epa.gov/sites/production/files/2020-01/documents/final_policy_assessment_for_the_review_of_the_pm_naaqs_01-2020.pdf
60. 1. Van Donkelaar, A.,
    2. Martin, R. V.,
    3. Li, C., &
    4. Burnett, R. T.

    (2019). Regional estimates of chemical composition of fine particulate matter using a combined geoscience-statistical method with information from satellites, models, and monitors. Environmental Science & Technology, 53(5), 2595–2611.

    OpenUrl
61. 1. Venn, T. J., &
    2. Calkin, D. E.

    (2011). Accommodating non-market values in evaluation of wildfire management in the United States: Challenges and opportunities. International Journal of Wildland Fire, 20(3), 327–339.

    OpenUrl
62. 1. Viswanathan, S.,
    2. Eria, L.,
    3. Diunugala, N.,
    4. Johnson, J., &
    5. McClean, C.

    (2006). An analysis of effects of San Diego wildfire on ambient air quality. Journal of the Air & Waste Management Association, 56(1), 56–67.

    OpenUrl
63. 1. Wen, Z., &
    2. Ye, B.

    (2014). Analyses of mediating effects: The development of methods and models. Advances in Psychological Science, 22(5), 731.

    OpenUrl
64. 1. Williams, A. M., &
    2. Phaneuf, D. J.

    (2019). The morbidity costs of air pollution: Evidence from spending on chronic respiratory conditions. Environmental and Resource Economics, 74(2), 571–603.

    OpenUrl
65. 1. Wooldridge, J. M.

    (2010). Econometric analysis of cross section and panel data. MIT press.
66. 1. Xia, Y.,
    2. Mitchell, K.,
    3. Ek, M.,
    4. Sheffield, J.,
    5. Cosgrove, B.,
    6. Wood, E.,
    7. Luo, L.,
    8. Alonge, C.,
    9. Wei, H.,
    10. Meng, J.

    , & others. (2012). Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products. Journal of Geophysical Research: Atmospheres, 117(D3). https://doi.org/10.1029/2011JD016048
67. 1. Yang, J., &
    2. Zhang, B.

    (2018). Air pollution and healthcare expenditure: Implication for the benefit of air pollution control in China. Environment International, 120, 443–455.

    OpenUrl
68. 1. Zhang, H.,
    2. Wang, Y.,
    3. Park, T.-W., &
    4. Deng, Y.

    (2017). Quantifying the relationship between extreme air pollution events and extreme weather events. Atmospheric Research, 188, 64–79.

    OpenUrlCrossRef
69. 1. Zhang, X.,
    2. Zhang, X., &
    3. Chen, X.

    (2017). Happiness in the air: How does a dirty sky affect mental health and subjective well-being? Journal of Environmental Economics and Management, 85, 81–94.

    OpenUrl
70. 1. Zhao, X.,
    2. Lynch Jr, J. G., &
    3. Chen, Q.

    (2010). Reconsidering Baron and Kenny: Myths and truths about mediation analysis. Journal of Consumer Research, 37(2), 197–206.

    OpenUrlCrossRefWeb of Science
71. 1. Zheng, S.,
    2. Cao, J.,
    3. Kahn, M. E., &
    4. Sun, C.

    (2014). Real estate valuation and cross-boundary air pollution externalities: Evidence from Chinese cities. The Journal of Real Estate Finance and Economics, 48(3), 398–414.

    OpenUrl
72. 1. Zheng, S.,
    2. Zhang, X.,
    3. Sun, W., &
    4. Lin, C.

    (2019). Air pollution and elite college graduates’ job location choice: Evidence from China. The Annals of Regional Science, 63(2), 295–316.

    OpenUrl
73. Zillow Group, Inc. (2021). Zillow’s Transaction and Assessment Database (ZTRAX) [Data set]. Zillow Group, Inc. http://zillow.com/ztrax