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. 2022 Mar 31;171(1-2):17. doi: 10.1007/s10584-022-03335-w

Table 2.

Results from three logit models where the independent variables include four explanatory variables (framing components and state partisan control) tested in comparison to the omitted subgroup. The second dataset of passed and failed bills is used in these models. Regression coefficients are listed along with standard errors in parentheses and the associated significance levels. Binary dependent variables include “enacted,” “bipartisan,” and “enacted and bipartisan”

Dependent variables Enacted Bipartisan Enacted and Bipartisan
Intercept -2.03(1.46) -3.17( 1.42)* -2.95(1.51)
Financial incentive component
Financial incentive -0.30(0.1)** 0.14(0.10) -0.01(0.11)
Environmental justice vs. none
Social justice indicators -0.09(0.27) -1.29(0.57)* -0.98(0.58)
Economic justice indicators -0.01(0.23) 0.66(0.3)* 0.63(0.34)
General progressivism 0.001(0.39) -0.08(0.48) -0.35(0.61)
Choice component vs. no effect
Restricts choice -0.49(0.12)*** -0.34(0.14)* -0.63(0.16)***
Expands choice 0.77(0.13)*** 0.04(014) 0.47(0.15)**
Democrat and Divided vs. Republican
Democrat states 0.38(0.10***) -0.32(0.11)** -0.48(0.12)***
Divided states 0.25(0.11)* 0.61(0.11)*** 0.35(0.12)**
N 860 860 860
Generalized R-square 0.11 0.11 0.11
(Nagelkerke)

*p < 0.15; **p < 0.01; ***p < 0.001