Table 3b

Testing whether individual and family characteristics at time t predict pollution levels at time t + 1. Sample: Children aged 0–5 who moved. P-values reported

COPM10SO2NO2O3
Panel A
children aged 0–5 regardless of location in continental United States who moved (to continental U.S. base)
    Test all variables = 00.6670.4140.8360.3400.433
    Test health variables = 00.5800.6240.3510.6540.703
Panel B
Children aged 0–5 in estimation sample who moved (restrict to bases close to monitors and military hospitals)
Aged 0–5
    Test all variables = 00.4510.0920.7840.5810.695
Aged 0–1
    Test all variables = 00.4810.5230.8580.1320.493
    Test health variables = 00.6720.2830.5460.3920.557
Aged 2–5
    Test all variables = 00.9750.2450.4680.8910.788
    Test health variables = 00.7440.7570.3330.3710.619
  • Linear regression models. Errors clustered at the base level. Individual and family characteristics tested include age, gender, health variables (whether hospitalized, hospitalized in MTF, hospitalized in MTF for respiratory condition), father/sponsor’s controls (number of months since last enlistment, total active months in the military, age, white, college degree, number of dependents, enlisted in the last five years), and mother’s health (whether hospitalized, hospitalized in MTF, hospitalized for pregnancy-related). The table tests whether all the individual and family explanatory variables (with the exception of the rank*occupation*year interactions) are jointly significant using an F-test.