The Effects of Government-Announced Soil Liquefaction Potential on Housing Prices in Reported Areas: A Two-Stage Spatial Quantile Regression Analysis

References

• Abadie, A. , & Imbens, G. W. (2011). Bias-corrected matching estimators for average treatment effects. Journal of Business & Economic Statistics , 29 (1), 1–11.
   Web of Science ®Google Scholar
• Anderson, D. R. , & Weinrobe, M. (1986). Mortgage default risks and the 1971 San Fernando earthquake. Real Estate Economics , 14 (1), 10–135.
   Web of Science ®Google Scholar
• Anselin, L. (1988). Lagrange multiplier test diagnostics for spatial dependence and spatial heterogeneity. Geographical Analysis , 20(1), 1–17.
   Web of Science ®Google Scholar
• Atreya, A. , Ferreira, S. , & Kriesel, W. (2013). Forgetting the flood? An analysis of the flood risk discount over time. Land Economics , 89 (4), 577–596.
   Web of Science ®Google Scholar
• Basu, S. , & Thibodeau, T. (1998). Analysis of spatial autocorrelation in house prices. Journal of Real Estate Finance and Economics , 17 (1), 61–85.
   Web of Science ®Google Scholar
• Bauer, T. K. , Braun, S. , & Kvasnicka, M. (2013). Distant event, local effects? Fukushima and the German housing market , (No. 1857). Kiel Institute for the World Economy.
   Google Scholar
• Bernknopf, R. , Brookshire, D. , & Thayer, M. (1990). Earthquake and volcano hazard notices: An economic evaluation of changes in risk perceptions. Journal of Environmental Economics and Management , 18 , 35–49.
   Web of Science ®Google Scholar
• Beron, K. J. , Murdoch, J. C. , Thayer, M. A. , & Vijverberg, W. P. (1997). An analysis of the housing market before and after the 1989 Loma Prieta earthquake. Land Economics , 73 , 101–13.
   Web of Science ®Google Scholar
• Bin, O. , Kruse, J. B. , & Landry, C. E. (2008). Flood hazards, insurance rates, and amenities: Evidence from the coastal housing market. Journal of Risk and Insurance , 75 (1), 63–82.
   Web of Science ®Google Scholar
• Bohman, H. , & Nilsson, D. (2016) The impact of regional commuter trains on property values: Price segments and income. Journal of Transport Geography , 56 , 102–109.
   Web of Science ®Google Scholar
• Boymal, J. , de Silva, A. , & Liu, S. (2013). Measuring the preference for dwelling characteristics of Melbourne: Railway stations and house prices [Conference presentation]. Annual Pacific-Rim Real Estate Society Conference.
   Google Scholar
• Brookshire, D. S. , Thayer, M. A. , Tschirhart, J. , & Schulze, W. D. (1985). A test of the expected utility model: Evidence from earthquake risks. Journal of Political Economy , 93 (2), 369–389.
   Web of Science ®Google Scholar
• Caliendo, M. , & Kopeinig, S. (2008). Some practical guidance for the implementation of propensity score matching. Journal of Economic Surveys , 22 (1), 31–72.
   Web of Science ®Google Scholar
• Central Geological Survey (2016, March 13). Soil liquefaction questions and answers in soil liquefaction potential query system. Retrieved March 13, 2018, from https://www.liquid.net.tw/CGSSL/QA.html.
   Google Scholar
• Champ, P. A. , Donovan, G. H. , & Barth, C. M. (2009). Homebuyers and wildfire risk: A Colorado Springs case study. Society & Natural Resources , 23 (1), 58–70.
   Web of Science ®Google Scholar
• Chen, K.P. (2009). A brief introduction of behavioral economics. Humanities and Social Sciences Newsletter Quarterly , 10(4), 16–28.
   Google Scholar
• Chernozhukov, V. , & Hansen, C. (2006). Instrumental quantile regression inference for structural and treatment effect models. Journal of Econometrics , 132 (2), 491–525.
   Web of Science ®Google Scholar
• Chiang, Y. H. , Peng, T. C. & Chang, C. O. (2015). The nonlinear effect of convenience stores on residential property prices: A case study of Taipei, Taiwan. Habitat International , 46 , 82–90.
   Web of Science ®Google Scholar
• Comber, S. , & Arribas-Bel, D. (2017). Waiting on the train: The anticipatory (causal) effects of Crossrail in Ealing. Journal of Transport Geography , 64 , 13–22.
   Web of Science ®Google Scholar
• Construction and Planning Agency . (2016). Guidelines on subsidy application for proposals on controlling soil liquefaction in soil liquefaction-prone areas. https://www.cpami.gov.tw [In Chinese].
   Google Scholar
• Daniel, V. E. , Florax, R. J. G. M. , & Rietveld, P. (2009). Flooding risk and housing values: an economic assessment of environmental hazard. Ecological Economics , 69 (2), 355–365.
   Web of Science ®Google Scholar
• Deng, G. , Gan, L. , & Hernandez, M. A. (2013). Do people overreact? Evidence from the housing market after the Wenchuan earthquake. National Bureau of Economic Research , 90 , 79–89.
   Google Scholar
• Deyle, R. E. , & Smith, R. A. (2000). Risk-based taxation of hazardous land development. Journal of the American Planning Association , 66 , 421–434.
   Web of Science ®Google Scholar
• Donovan, G. H. , Champ, P. A. , & Butry, D. T. (2007). Wildfire risk and housing prices: A case study from Colorado Springs. Land Economics , 83 (2), 217–233.
   Web of Science ®Google Scholar
• Dubé, J. , Legros, D. , Thériault, M. , & Des Rosiers, F. (2014). A spatial difference-in-differences estimator to evaluate the effect of change in public mass transit systems on house prices. Transportation Research Part B: Methodological , 64 , 24–40.
   Web of Science ®Google Scholar
• Dubin, R. A. (1998). Spatial autocorrelation: a primer. Journal of Housing Economics , 7 (4), 304–327.
   Web of Science ®Google Scholar
• Ewing, B. T. , Kruse, J. B. , & Wang, Y. (2007). Local housing price index analysis in wind-disaster-prone areas. Natural Hazards , 40 , 463–483.
   Web of Science ®Google Scholar
• Graham, J. E. & Hall, W. W. (2001). Hurricanes, housing market activity and coastal real estate values. Appraisal Journal , 69 , 379–387.
   Google Scholar
• Graham, J. E. , & Hall, W. W. (2002). Catastrophic risk and behavior of residential real estate market participants. Natural Hazards Review, 3 (3), 92–97.
   Google Scholar
• Hansen, J. L. , Benson, E. D. , & Hagen, D. A. (2006). Environmental hazards and residential property values: Evidence from a major pipeline event. Land Economics , 82 (4), 529–41.
   Web of Science ®Google Scholar
• Harrison, D. , T. Smersh, G. , & Schwartz, A. (2001). Environmental determinants of housing prices: the impact of flood zone status. Journal of Real Estate Research , 21 (1-2), 3–20.
   Google Scholar
• Heintzelman, M. D. (2010). The value of land use patterns and preservation policies. The B.E. Journal of Economic Analysis and Policy, 10 (1), 1–26.
   Web of Science ®Google Scholar
• Helweg-Larsen, M. (1999). (The lack of) optimistic biases in response to the 1994 Northridge earthquake: The role of personal experience. Basic and Applied Social Psychology , 21 (2), 119–129.
   Web of Science ®Google Scholar
• Hung, H.C. (2002). The determination of technological risk perception and risk consumption: Using grey information relation approach. City and Planning , 29 (4), 575–593.
   Google Scholar
• Huang, Y.J. , Chiang, Y.H. , & Chang, C.O. (2017). Impact of public housing on nearby residential property values in Taipei City. City and Planning , 44 (3), 277–302.
   Google Scholar
• Huggett, R. J., Jr. , Murphy, E. A. , & Holmes, T. P. (2008). Forest disturbance impacts on residential property values. In Holmes, T.P. , et al. (Eds.), The Economics of forest disturbances: Wildfires, storms, and invasive species , (pp. 209–228). Springer.
   Google Scholar
• Hung, H.C. , & Chen, L.Y. (2007). Flood risk assessment and hazardous risk-based taxation-A case study in Taipei. Journal of Taiwan Land Research , 10 (2), 95–125.
   Google Scholar
• Imbens, G. , (2015). Matching methods in practice: Three examples. Journal of Human Resource , 50 (2), 373–419.
   Web of Science ®Google Scholar
• Ismail, N. H. , Karim, M. Z. A. , & Basri, B. H. (2016). Flood and land property values. Asian Social Science , 12 (5), 84.
   Google Scholar
• Kim, T. H. , & Muller, C. (2004). Two-stage quantile regression when the first stage is based on quantile regression. The Econometrics Journal , 7 (1), 218–231.
   Google Scholar
• Koenker, R. , & Bassett, Jr, G. (1978). Regression quantiles. Econometrica: journal of the Econometric Society , 33–50.
   Web of Science ®Google Scholar
• Koenker, R. , & Bassett, Jr., G. (1982). Robust tests for heteroscedasticity based on regression quantiles. Econometrica: Journal of the Econometric Society , 1982, 43–61.
   Web of Science ®Google Scholar
• Koenker, R. , & Hallock, K. F. (2001). Quantile regression. Journal of Economic Perspectives, 15 (4), 143–156.
   Web of Science ®Google Scholar
• Koenker, R. (2005). Quantile regression . Cambridge University Press.
   Google Scholar
• Kostov, P. (2009). A spatial quantile regression hedonic model of agriculture land prices. Spatial Economic Analysis , 4 (1), 53–72.
   Web of Science ®Google Scholar
• Kuan, C. M. (2007). An introduction to quantile regression . Institute of Economics Academica Sinica.
   Google Scholar
• Kuan, P.Y. , & Lee, D. Y. (2008). Effects of cam schooling on math performance: A counterfactual analysis. Taiwanese Journal of Sociology , 41 , 97–148.
   Google Scholar
• Lawrence, J. , Quade, D. , & Becker, J. (2014). Integrating the effects of flood experience on risk perception with responses to changing climate risk. Natural Hazards , 74 (3), 1773–1794.
   Web of Science ®Google Scholar
• Lee, C. , C., Liang , C. M., & Chen , C. Y. (2017). The impact of urban renewal on neighborhood housing prices in Taipei: An application of the difference-in-difference method. Journal of Housing and the Built Environment , 32 (3), 407–428.
   Web of Science ®Google Scholar
• Liao, W. C. , & Wang, X. (2012). Hedonic house prices and spatial quantile regression. Journal of Housing Economics , 21 (1), 16–27.
   Web of Science ®Google Scholar
• Lin, C. C. , Chen, C. L. , & Twu, Y. C. (2012). An estimation of the impact of Feng-Shui on housing prices in Taiwan: A quantile regression application. International Real Estate Review , 15 (3), 325–346.
   Google Scholar
• Lu, Z.Y. , Chang, C.O. , & Chiang, Y.H. (2017). The impact of soil liquefaction information [Conference presentation]. The 2017 Asian Real Estate Society (AsRES) and Global Chinese Real Estate Society Joint Annual Conference.
   Google Scholar
• Mader, G. G. (1997). Enduring land-use planning lessons from the 1971 San Fernando earthquake. Earthquake Spectra , 13 , 45–54.
   Google Scholar
• Malpezzi, S. (2003). Hedonic pricing models: A selective and applied review. In T. O. Sullivan & K. Gibbs (Eds.), Housing economics and public policy: Essays in honor of Duncan Maclennan . Blackwell.
   Google Scholar
• Meyer, R. , & Kunreuther, H. (2017). The ostrich paradox: Why we underprepare for disasters . Wharton Digital Press.
   Google Scholar
• Morgan, S. L ,. & Harding, D. J. (2006). Matching estimators of causal effects: Prospects and pitfalls in theory and practice. Sociological Methods & Research , 35 (1), 3–60.
   Web of Science ®Google Scholar
• Mueller, J. M. , & 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.
   Web of Science ®Google Scholar
• Mueller, J. , Loomis, J. , & Gonzalez-Caban 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.
   Web of Science ®Google Scholar
• Nakagawa, M. , Saito, M. , & Yamaga, H. (2007). Earthquake risk and housing rents: Evidence from the Tokyo Metropolitan area. Regional Science and Urban Economics , 37 (1), 87–99.
   Web of Science ®Google Scholar
• Nakagawa, M. , Saito, M. , & Yamaga, H. (2009). Earthquake risks and land prices: Evidence from the Tokyo Metropolitan area. The Japanese Economic Review , 60 (2), 208–222.
   Web of Science ®Google Scholar
• Naoi, M. , Seko, M. , & Sumita, K. (2009). Earthquake risk and housing prices in Japan: Evidence before and after massive earthquakes. Regional Science and Urban Economics , 39 (6), 658–669.
   Web of Science ®Google Scholar
• National Science and Technology Center for Disaster Reduction (n.d.). Disaster potential map. Retrieved April 13, 2018, from https://dmap.ncdr.nat.gov.tw/
   Google Scholar
• Neter, J. , Kutner, M. H. , Nachtsheim, C. J. , & Wasserman, W. (1996). Applied linear statistical models (4th ed). McGraw Hill/Irwin Series.
   Google Scholar
• Onder, Z. , Dokmeci, V. , & Keskin, B. (2004). The impact of public perception of earthquake risk on Istanbul’s housing market. Journal of Real Estate Literature , 12 (2), 181- 194.
   Google Scholar
• Pope, J. C. (2008). Do seller disclosures affect property values? Buyer information and the hedonic model. Land Economics , 84 (4), 551–572.
   Web of Science ®Google Scholar
• Posey, J. , & Rogers, W. H. (2010). The impact of special flood hazard area designation on residential property values. Public Works Management & Policy , 15 (2), 81–90.
   Google Scholar
• Ricci, T. , Barberi, F. , Davis, M. S. , Isaia, R ,. & Nave, R. (2013). Volcanic risk perception in the Campi Flegrei area. Journal of Volcanology and Geothermal Research , 254 , 118–130.
   Web of Science ®Google Scholar
• Rittichainuwat, B. , Nelson, R. , & Rahmafitria, F. (2018). Applying the perceived probability of risk and bias toward optimism: Implications for travel decisions in the face of natural disasters. Tourism Management , 66 , 221–232.
   Web of Science ®Google Scholar
• Rosenbaum, P. R. , & Rubin, D. B. (1985). Constructing a control group using multivariate matched sampling methods that incorporate the propensity score. The American Statistician , 39 (1), 33–38.
   Web of Science ®Google Scholar
• Rubin, D. B. (1979). Using multivariate matched sampling and regression adjustments to control bias in observational studies. Journal of the American Statistical Association , 74 (366), 318–328.
   Web of Science ®Google Scholar
• Shilling, J. D. , Benjamin, J. D. , & Sirmans, C. F. (1985). Adjusting comparable sales for floodplain location. The Appraisal Journal , 53 (3), 429–437.
   Google Scholar
• Slovic, P. (1987). Perception of risk. Science , 236 , 280–285.
   PubMed Web of Science ®Google Scholar
• Stetler, K. M. , Venn, T. J. , & Calkin, D. E. (2010). The effects of wildfire and environmental amenities on property values in northwest Montana, USA. Ecological Economics , 69 (11), 2233- 2243.
   Web of Science ®Google Scholar
• Stock, J. , Wright, J. , & Yogo, M. (2002). A survey of weak instruments and weak identification in generalized method of moments. American Statistical Association , 20 (4), 518–529.
   Google Scholar
• Stuart, E. A. , & Rubin, D. B. (2008). Best practices in quasi-experimental designs. Best practices in quantitative methods , 155–176.
   Google Scholar
• Sunak, Y. , & Madlener, R. (2016). The impact of wind farm visibility on property values: A spatial difference-in-differences analysis. Energy Economics , 55 , 79–91.
   Web of Science ®Google Scholar
• Timar, L. , Grimes, A. , & Fabling, R. (2014). That sinking feeling: The changing price of disaster risk following an earthquake. Motu Economic and Public Policy Research , 14 (13).
   Google Scholar
• Votsis, A. , & Perrels, A. (2016). Housing prices and the public disclosure of flood risk: A difference-in-differences analysis in Finland. The Journal of Real Estate Finance and Economics , 53 (4), 450–471.
   Web of Science ®Google Scholar
• Walls, M. , Gerarden, T. , Palmer, K. , & Bak, X. F. (2017). Is energy efficiency capitalized into home prices? Evidence from three US cities. Journal of Environmental Economics and Management , 82 , 104–124.
   Web of Science ®Google Scholar
• Wang, S.Y. (2017). Exploration of the effects of soil liquefaction on real estate transaction prices: A case study of Taipei City [Unpublished Master’s thesis]. National Central University, Taoyuan City.
   Google Scholar
• Wang, H. , Shen, Q. , Tang, B. S. , & Skitmore, M. (2013). An integrated approach to supporting land-use decisions in site redevelopment for urban renewal in Hong Kong. Habitat International , 38 , 70–80.
   Web of Science ®Google Scholar
• Wen, H. , Xiao, Y. , & Hui, E. C. (2019). Quantile effect of educational facilities on housing price: Do homebuyers of higher-priced housing pay more for educational resources? Cities , 90 , 100–112.
   Web of Science ®Google Scholar
• Zeckhauser, R. (1996) The economics of catastrophes. Journal of Risk and Uncertainty , 12 (2-3), 113–140.
   Web of Science ®Google Scholar
• Zhang, L. (2016). Flood hazards impact on neighborhood house prices: A spatial quantile regression analysis. Regional Science and Urban Economics , 60 , 12–19.
   Web of Science ®Google Scholar
• Zhang, Y. , Hwang, S. N. , & Lindell, M. K. (2010). Hazard proximity or risk perception? Evaluating effects of natural and technological hazards on housing values. Environment and Behavior , 42 (5), 597–624.
   Web of Science ®Google Scholar
• Zietz, J. , Zietz, E. N. , & Sirmans, G. S. (2008). Determinants of house prices: A quantile regression approach. The Journal of Real Estate Finance and Economics , 37 (4), 317–333.
   Web of Science ®Google Scholar