Table 7

Air quality, donations, and volunteers: Interactions with industry sub-sector (NTEE codes)

DV = 
Donations (1)Volunteers (2)
Hazardous Dayst−0.004**(−3.988)0.002(0.336)
AR (Arts)0.019**(28.705)0.456**(66.000)
EN (Environment)0.070**(82.072)0.742**(82.947)
HE (Health)0.022**(37.858)−0.012**(−1.985)
HU (Human Services)−0.011**(−22.128)0.167**(33.056)
IN (International)0.165**(146.330)0.058**(4.933)
MU (Mutual Benefit)−0.026**(−8.517)−0.299**(−9.353)
PU (Public/Societal Benefit)0.037**(61.065)0.101**(15.692)
RE (Religious)0.091**(114.176)−0.047**(−5.659)
UN (Unknown)0.025**(8.489)0.157**(5.028)
Hazardous Days × AR−0.0002(−0.155)0.060**(3.972)
Hazardous Days × EN0.004**(2.816)0.006(0.421)
Hazardous Days × HE0.003*(2.063)−0.010(−0.749)
Hazardous Days × HU0.004**(3.907)−0.008(−0.705)
Hazardous Days × IN0.001(0.276)−0.045(−1.506)
Hazardous Days × MU0.0001(0.016)0.129+(1.781)
Hazardous Days × PU−0.001(0.724)0.016(1.058)
Hazardous Days × RE0.004*(1.999)0.021(1.072)
Hazardous Days × UN0.004(0.743)0.037(0.721)
Control VariablesYESYES
State and Year Fixed EffectsYESYES
Observations1,633,5291,633,529
Adjusted R20.8380.222
F90182.653**4969.970**

Note(s): Table shows coefficients from robust regressions, with t-stats in parentheses; + p < 0.10, *p < 0.05, **p < 0.01 (two-tailed). Robust regressions eliminate gross outliers (i.e. where Cook's distance >1), and automatically down-weights outliers and influential observations in the estimation process, providing more reliable coefficient estimates than OLS when data contain extreme values or influential cases. The omitted (baseline) category is Education organizations (NTEE category ED). See  Appendix for variable definitions

Source(s): Authors' own creation

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