Table 3

Log Sale Price on Subsidence in the San Joaquin Valley, California: Fixed Effects

(1)(2)(3)(4)(5)
Subsidence−0.065***−0.073***−0.024***−0.025***
(0.005)(0.005)(0.004)(0.004)
 Low subsidence (< 0.18 m/year)−0.024***
(0.004)
 High subsidence (≥ 0.18 m/year)−0.058***
(0.008)
Year fixed effectsYesNoNoNoNo
County fixed effectsYesNoNoNoNo
Sub-basin fixed effectsYesNoNoNoNo
County-year fixed effectsNoYesYesYesYes
Sub-basin-year fixed effectsNoYesYesYesYes
Housing characteristicsNoNoYesYesYes
Other controlsNoNoYesYesYes
Weather controlsNoNoNoYesYes
% agriculture employedNoNoNoYesYes
Average sales value278,713278,713278,713278,713278,713
Observations275,122275,122275,122275,122275,122
R-squared0.2050.2090.6210.6350.635
  • Note: Each column represents a separate regression using a different combination of controls and fixed effects. 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.