Does Air Quality Matter? Evidence from the Housing Market
By K. Chay, Michael Greenstone. Journal of Political Economy, 2005
1,321 citations recorded by the source corpus.
Subfields: Economics and Econometrics
View Paper: https://www.semanticscholar.org/paper/3a83fad95c69991cfa198970167e3979ee1e386b
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In Economics and Econometrics
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Citations in the corpus
- From Fog to Smog: the Value of Pollution Information (2019, methodology): “, Chen et al., 2013; He, Fan and Zhou, 2016; Ebenstein et al., 2017). To get at the true level of 0, we use the main finding of a recent paper by Ebenstein et al. (2017) that examines the long-term mortality effects of PM exposure.”
- Regulation-Induced Pollution Substitution (2019, background): “This spatial heterogeneity does not imply that studies nding e ects of county non-attainment on home prices (Chay and Greenstone, 2005) or health (Chay and Greenstone, 2003a) are biased.”
- Valuing flood disasters using the life satisfaction approach (2009, background): “Wage and rent differentials serve as implicit prices and correspond, in equilibrium, to the individuals' marginal WTP for the public good (e.g. Rosen 1974 ; exemplary contributions are Blomquist, Berger and Hoehn 1988; Chay and Greenstone 2005).”
- Valuing School Quality, Better Transport, and Lower Crime: Evidence from House Prices (2008, background): “Even in the field of air quality valuation empirical technology has moved forward since the early cross-sectional studies – see, for example, Chay and Greenstone (2005).”
- When Walmart comes to town: Always low housing prices? Always? (2015, neutral): “Examples of this new wave of quasi-experimental hedonic research include Black (1999), Figlio and Lucas (2004), Chay and Greenstone (2005), Pope (2008) and Linden and Rockoff (2008), among others.7 Ultimately the impact of building a Walmart store on housing prices depends on the sorting of…”
- Regression Discontinuity Designs in Economics (2010, neutral): “…history score Environment Chay and Greenstone (2003) Health effects of pollution, United States Infant mortality Regulatory status Pollution levels Chay and Greenstone (2005) Valuation of air quality, United States Housing prices Regulatory status Pollution levels Davis (2008) Restricted…”
- Land and Residential Property Markets in a Booming Economy: New Evidence from Beijing (2008, background): “12 Particulate exposure significantly raises mortality rates (Chay and Greenstone, 2003) and is negatively correlated with US home prices (Chay and Greenstone, 2005).”
- The Effects of Aquatic Invasive Species on Property Values: Evidence from a Quasi-Experiment (2009, methodology): “As argued by Chay and Greenstone (2005), the problem of omitted variable bias, such as induced by correlation between unobserved neighborhood effects and observable environmental amenities, has received little attention in the hedonic literature.”
- A Comparison of Three Methods of Estimation in the Context of Spatial Modeling (2009, background): “Since then hedonic theory has been used to value environmental factors like air quality (e.g., Chay and Greenstone, 2005; Kim, Phipps, and Anselin, 2003; Smith and Deyak, 1975), water quality (e.g., Leggett and Bockstael, 2000; Poor et al., 2001), agricultural externalities (e.g., Palmquist, Roka,…”
- Estimating the cost of air pollution in South East Queensland: An application of the life satisfaction non-market valuation approach (2013, background): “The magnitude of this effect is uncertain, however some authors (cf. Chay and Greenstone, 2005) suggest that the bias is small.”
- Brain drain: The impact of air pollution on firm performance (2020, background): “Moreover, skilled workers have more career opportunities and higher incomes and, through sorting, can situate themselves in locations where better air quality is capitalized into housing prices (Chay and Greenstone, 2005).”
- Identifying the Effect of Changing the Policy Threshold in Regression Discontinuity Models (2015, neutral): “The immediate analogue to equation (9) is that, if S f C (c, c) is small, then τ f (cnew) ≈ D f (c)+ (cnew − c) Df (c), which allows us to assess what the RD treatment effect would equal if the threshold were changed slightly from c to cnew.”