Table A4.

Biofuel capacity Inverse hyperbolic sine regression results: net farm income.

Est. Coef.(Std. Err.)
Bio. co. cap.0.220*(0.122)
Adj. co. cap.0.236***(0.060)
Biofuel prices0.158(0.246)
Low temp.−0.177*(0.095)
High temp.−0.096***(0.037)
Precipitation−0.155***(0.053)
RUC2−0.781(1.312)
RUC3−1.748(1.317)
RUC4−2.049(1.781)
RUC5−2.571*(1.527)
RUC6−1.414(1.222)
RUC7−1.610(1.300)
RUC8−1.314(1.313)
RUC9−1.645(1.351)
R-Square0.6677
Adj. R-Square0.5824
Est. Coef.(Std. Err.)
Bio. co. cap.0.220*(0.122)
Adj. co. cap.0.236***(0.060)
Biofuel prices0.158(0.246)
Low temp.−0.177*(0.095)
High temp.−0.096***(0.037)
Precipitation−0.155***(0.053)
RUC2−0.781(1.312)
RUC3−1.748(1.317)
RUC4−2.049(1.781)
RUC5−2.571*(1.527)
RUC6−1.414(1.222)
RUC7−1.610(1.300)
RUC8−1.314(1.313)
RUC9−1.645(1.351)
R-Square0.6677
Adj. R-Square0.5824

Controls include: fixed effects for counties, states, and years. Number of observations = 3,995.

Robust standard errors clustered by county.

Table A4.

Biofuel capacity Inverse hyperbolic sine regression results: net farm income.

Est. Coef.(Std. Err.)
Bio. co. cap.0.220*(0.122)
Adj. co. cap.0.236***(0.060)
Biofuel prices0.158(0.246)
Low temp.−0.177*(0.095)
High temp.−0.096***(0.037)
Precipitation−0.155***(0.053)
RUC2−0.781(1.312)
RUC3−1.748(1.317)
RUC4−2.049(1.781)
RUC5−2.571*(1.527)
RUC6−1.414(1.222)
RUC7−1.610(1.300)
RUC8−1.314(1.313)
RUC9−1.645(1.351)
R-Square0.6677
Adj. R-Square0.5824
Est. Coef.(Std. Err.)
Bio. co. cap.0.220*(0.122)
Adj. co. cap.0.236***(0.060)
Biofuel prices0.158(0.246)
Low temp.−0.177*(0.095)
High temp.−0.096***(0.037)
Precipitation−0.155***(0.053)
RUC2−0.781(1.312)
RUC3−1.748(1.317)
RUC4−2.049(1.781)
RUC5−2.571*(1.527)
RUC6−1.414(1.222)
RUC7−1.610(1.300)
RUC8−1.314(1.313)
RUC9−1.645(1.351)
R-Square0.6677
Adj. R-Square0.5824

Controls include: fixed effects for counties, states, and years. Number of observations = 3,995.

Robust standard errors clustered by county.

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