Online Appendix: The Housing Market Impacts of Shale Gas Development
By Lucija A Muehlenbachs, Elisheba Spiller, C. Timmins. 2015
252 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/e526f8624b8cda79f33fa316192c83244739a049
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- N. Kuminoff
- S. Poelhekke
- Jaren C. Pope
- Kelly C. Bishop
- F. van der ploeg
- Lucija A Muehlenbachs
- S. McCoy
- C. Timmins
Citations in the corpus
- The Economics of Shale Gas Development (2015, background): “Muehlenbachs et al. (2014) find that there are increases in property values when shale gas wells are drilled in the general vicinity of a property (i.e., within 20km), however this is only in the first year that wells are drilled.”
- Male Earnings, Marriageable Men, and Nonmarital Fertility: Evidence from the Fracking Boom (2018, background): “Muehlenbachs, Spiller, and Timmins (2015) estimate hedonic models of property value impacts of shale gas development in Pennsylvania and New York.”
- The Triple Difference Estimator (2020, background): “Of these articles Muehlenbachs et al. (2015), Hornbeck (2010), and Shayo and Zussman (2011) show some version of the estimator itself, indicating that it is not entirely obvious.”
- Best Practices for Using Hedonic Property Value Models to Measure Willingness to Pay for Environmental Quality (2020, background): “Applications of this approach have included school-attendance zone boundaries (Black 1999), flood-zone boundaries (Pope 2008b), and public water-service-area boundaries (Muehlenbachs, Spiller, and Timmins 2015).”
- Wildfire risk, salience & housing demand (2018, methodology): “This method has been used in hedonic models to address the visual impacts of shale gas wells (Muehlenbachs et al. 2014), wind turbines (Sunak and Madlener, 2012), natural landscapes (Walls et al.”
- The Impact of Natural Resources: Survey of Recent Quantitative Evidence (2017, background): “More crowding out, and thus more evidence for a ‘curse’, is expected at the aggregate level where multipliers are smaller (Moretti, 2010).”