Table 10

Air quality, donations, and volunteers: Crowd-out test

DV = 
Donations (1)Volunteers (2)
Hazardous Dayst−0.0005(−1.234)0.013*(3.305)
Government Grantst-1−0.060**(−183.441)−0.184**(−53.706)
Hazardous Days × Government Grantst-1−0.005**(−6.581)−0.027**(−3.804)
Fundraising Expensest-11.831**(2148.607)1.930**(215.757)
Aget−0.021**(−105.333)0.166**(81.188)
Program Expense Ratiot-10.060**(72.910)0.073**(8.544)
Sizet-10.088**(449.618)0.031**(15.102)
Program Service Revenuet-1−0.129**(−501.943)−0.220**(−81.911)
Governance Indext-10.023**(169.965)0.371**(261.724)
Employeest-10.038**(316.852)0.255**(201.732)
Ruralt-1−0.032**(−10.110)−0.447**(−13.476)
Poverty Ratet-1−0.00003(−0.709)−0.039**(−84.699)
Constant−0.090**(−28.534)−0.319**(−9.675)
Industry, State, and Year Fixed EffectsYESYES
Observations1,633,5291,633,550
Adjusted R20.8380.222
F98581.098**5431.921**

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. See  Appendix for variable definitions

Source(s): Authors' own creation

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