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Table 4 Estimation results for wage regressions using ordinary least squares (OLS)

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

 

(1) Wage

(2) Wage

(3) Wage

(4) Wage

(5) Wage

(6) Wage

(7) Wage

PM10 (10-month lag)

0.159 (0.0506)**

      

PM10 (9-month lag)

 

0.386 (0.0578)***

     

PM10 (8-month lag)

  

0.368 (0.0667)***

    

PM10 (7-month lag)

   

0.222 (0.0665)***

   

PM10 (6-month lag)

    

0.446 (0.0660)***

  

PM10 (5-month lag)

     

0.307 (0.0849)***

 

PM10 (4-month lag)

      

0.450 (0.0737)***

R-squared

0.474

0.487

0.482

0.474

0.489

0.467

0.470

Observations

1384

1394

1402

1405

1387

1398

1438

  1. Standard errors in parentheses
  2. Each column represents a separate regression of the wage equation (Eq. 9) for different lags
  3. Standard errors are clustered at the zip code level. All regressions include all the controls and zip code fixed effects
  4. p <0.05, ** p <0.01, *** p <0.001