Log Sale Price on Subsidence in the San Joaquin Valley, California: Matching
| City | Sub-basin | County | |
|---|---|---|---|
| (1) | (2) | (3) | |
| Subsidence | −0.032*** | −0.027*** | −0.021*** |
| (0.008) | (0.007) | (0.006) | |
| County-year fixed effects | Yes | Yes | Yes |
| Sub-basin-year fixed effects | Yes | Yes | Yes |
| Housing characteristics | Yes | Yes | Yes |
| Other controls | Yes | Yes | Yes |
| Weather controls | Yes | Yes | Yes |
| % agriculture employed | Yes | Yes | Yes |
| Average sales value ($1,000) | 242,708 | 246,540 | 235,260 |
| Observations | 14,234 | 24,508 | 32,668 |
| R-squared | 0.527 | 0.556 | 0.556 |
Note: Each column represents a separate regression that limits treated and comparison units to the same geography. The dependent variable in all regressions is the log sale price. Standard errors are in parentheses and clustered at the zip code level with 1,000 bootstrap repetitions. The number of zip codes is 256. Housing characteristics include the year built, number of bedrooms, bathrooms, stories, and the presence of a pool. Other controls include the percentage of agriculture (5 km) and the distance to the closest highway and city (km). Weather variables include mean annual temperature and total precipitation. We include the square terms of temperature and precipitation to account for the nonlinear relationship between home values and weather variables.
↵*** p < 0.10.