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. Author manuscript; available in PMC: 2018 Jun 1.
Published in final edited form as: Ger Econ Rev. 2012 Nov;13(4):416–435. doi: 10.3386/w17918

Table 7.

NCVS Regressions for Assault Victimizations Ages 18–29

All Assaults Alcohol or Drug
Involved Assaults

Model 1 Model 2 Model 1 Model 2
Real beer price −0.003 (−1.08) −0.003 (−1.01) −0.004 (−2.22) −0.004 (−1.98)
Liquor outlets 0.003 (1.09) 0.004 (1.17) 0.007 (4.06) 0.007 (3.69)
Percent dry −0.003 (−0.68) −0.004 (−0.75) −0.003 (−1.05) −0.003 (−1.05)
BAC .08 0.003 (1.47) 0.003 (1.75)
Drivers license loss age 18 or 19 −0.006 (−0.91) −0.005 (−0.73)
Drivers license loss age 21 −0.007 (−1.82) −0.007 (−2.82)
Restrictions factor 1 −0.001 (−0.45) −0.0004 (−0.20)
Restrictions factor 2 0.001 (0.30) −0.001 (−0.33)
Restrictions factor 3 0.0003 (0.19) −0.0002 (−0.10)
Restrictions factor 4 −0.002 (−0.86) −0.0004 (−0.17)
Exceptions factor 1 −0.004 (−0.87) −0.006 (−1.54)
Exceptions factor 2 −0.001 (−0.28) −0.0005 (−0.11)

Notes: N = 103,270. Coefficients from linear probability models with individual fixed effects shown. T-statistics in parentheses based on MSA-level clustered standard errors. Models also include indicator variables for the survey year and survey quarter, and all individual and state characteristics listed in Table 4.