Table 3

Robustness Checks

VariableDependent Variable: Log Sales Price
Repeat SalesInclude Time Invariant BDI totalTract × Year FEPresample Sales Price as PredictorUse Distance Squared in BDI CalculationUse Root Distance in BDI Calculation
(1)(2)(3)(4)(5)(6)
BDI–0.0134***
(0.0031)
–0.0103***
(0.0023)
–0.0085**
(0.0035)
–0.0187***
(0.0031)
–0.0022***
(0.0004)
–0.0190***
(0.0023)
BDI total–0.0004
(0.0021)
Housing and neighborhood characteristicsYesYesYesYesYesYes
Year-month FEYesYesYesYesYesYes
Census block group FENoYesYesYesYesYes
Town × Year FEYesYesNoYesYesYes
Presample mean price × Year-quarter FEYesYesNoNoYesYes
Property FEYesNoNoNoNoNo
Tract × Year FENoNoYesNoNoNo
Presample sales price × Year-quarter FENoNoNoYesNoNo
Observations17,50643,78735,7119,83643,74243,787
Adjusted R-squared0.8590.7230.7170.7890.7230.724
  • Note: The Column 1 sample includes only properties that transact more than once, and the model includes property-specific fixed effects. Column 2 includes as an independent variable BDI total, which is the sum of the inverse distances to all brownfields, remediated and unremediated, within 2 km of a housing transaction. Column 3 adds census tract by year fixed effects to the Table 2 Column 5 specification and removes year-town fixed effects and presample neighborhood mean price interacted with year-quarter fixed effects. Column 3 includes only tracts with more than 200 observations in the sample. The Column 4 sample includes only properties that transacted January 2000–September 2003 as well as the sample time frame October 2003–March 2013; then the presample sales price (inflation adjusted and logged) is interacted with year-quarter fixed effects. For Columns 5 and 6, the definition of BDI is altered. Modifying equation [1] to have an exponent on inverse distance, Embedded Image, Column 5 sets p = 2 and Column 6 sets p = 0.5, as compared to the main results that set p = 1. Squaring inverse distance produces a distribution of BDI with a long right tail; Column 5 drops transactions in the top 0.1% of the BDI distribution to reduce influence of outliers.

  • ↵**, *** Significance at 5% and 1%, respectively.