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Table 3 Estimation results for house price regressions using ordinary least squares (OLS)

From: Pollution and the choice of where to work and live within Mexico City

  (1) House price (2) House price (3) House price (4) House price (5) House price (6) House price (7) House price
PM10 (10-month lag) 0.0170 (0.0299)       
PM10 (9-month lag)   0.0295 (0.0269)      
PM10 (8-month lag)    0.00,691 (0.0276)     
PM10 (7-month lag)     0.0938 (0.0275)***    
PM10 (6-month lag)      − 0.00523 (0.0241)   
PM10 (5-month lag)       0.0202 (0.0347)  
PM10 (4-month lag)        − 0.0705 (0.0286)*
Wage 0.127 (0.0161)*** 0.129 (0.0161)*** 0.129 (0.0160)*** 0.125 (0.0159)*** 0.126 (0.0161)*** 0.121 (0.0159)*** 0.118 (0.0153)***
R-squared 0.840 0.842 0.842 0.844 0.843 0.842 0.842
Observations 1384 1394 1402 1405 1387 1398 1438
  1. Standard errors in parentheses
  2. Each column represents a separate regression of the house price equation (Eq. 8) for different lags. Standard errors are clustered at the zip code level. All regressions include all the controls and zip code fixed effects
  3. p <0.05, ** p <0.01, *** p <0.001