TABLE 10.1 Regression Analysis of the Effect of Drunk Driving Laws on Traffic Deaths Dependent variable: traffic fatality rate (deaths per 10,000). Regressor (1) (2) (3) (4) (5) (6) (7) Beer tax 0.36 -0.66 -0.64 -0.45 -0.69 (0.05) -0.46 (0.29) -0.93 (0.36) (0.30) [0.26, 0,46] [-1.23, -0.09] [-1.35, 0.07] (0.35) (0.31) [-1.04, 0.14] [-1.38,0.00] (0.34) [-1.070.15] [-1.60, -0.26] Drinking age 18 0.10 0.03 -0.01 0.04 (0.07) (0.08) [-0.11, 0.17] [-0.17 0.15] (0.10) [-0.16, 0.24] Drinking age 19 -0.02 -0.08 -0.07 (0.05) (0.07) (0.10) [-0,12,0.08] [-0.21, 0.06] [-0.26, 0,13] Drinking age 20 0.03 -0.10 (0.05) -0.11 (0.06) (0.13) [-0.070.13] [-0.21,0.01] [-0.36, 0.14] Drinking age 0.00 (0.02) [-0.05,0.04] Mandatory jail or 0.04 0.09 community service? 0.04 0.09 (0.10) (0.11) [-0.17 0.25] (0.10) [-0.14.0.31] (0.16) [-0.170.25] [-0.24, 0,42] Average vehicle miles per driver 0.008 0.017 (0.007) 0.009 0.124 (0.011) (0.007) (0.049) Unemployment rate -0.063 -0.063 -0.091 (0.013) (0.013) (0.021) Real income per 1.82 capita (logarithm) 1.79 1.00 (0.64) (0.64) (0.68) Years 1982-88 1982-88 1982-88 1982-88 1982-88 1982-88 1982 & 1988 only State effects? no yes yes yes yes yes yes Time effects? no yes yes yes yes yes Clustered standard no yes errors? yes yes yes yes yes F-Statistics and p-Values Testing Exclusion of Groups of Variables Time effects = 0 4.22 10.12 3.48 10.28 (0.002) 3749 (