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. Author manuscript; available in PMC: 2015 Jul 1.
Published in final edited form as: J Health Econ. 2014 Mar 21;36:33–46. doi: 10.1016/j.jhealeco.2014.03.004

Table 3.

Falsification test: Diff-and-Diff Estimates of the effect of the false ID laws with scanner provisions on alcohol consumption of young adults who are 21 years or older

21–22 year olds
21–26 year olds
(1) (2) (3) (4)
Consumed alcohol
Treat −0.025 (0.029) 0.016 (0.026) 0.010 (0.039) 0.021 (0.024)
R2 0.123 0.024 0.117 0.014
N 13237 13237 21599 21599
Engaged in binge drinking
Treat −0.005 (0.029) 0.024 (0.021) −0.004 (0.027) −0.008 (0.011)
R2 0.129 0.026 0.125 0.015
N 13166 13166 21435 21435
No. of days consumed alcohol
Treat −0.631 (0.391) −0.371 (0.650) −0.229 (0.540) 0.085 (0.400)
R2 0.104 0.027 0.090 0.013
N 13237 13237 21599 21599
No. of days engaged in binge drinking
Treat −0.325 (0.253) 0.019 (0.259) −0.173 (0.211) 0.007 (0.155)
R2 0.098 0.031 0.087 0.015
N 13166 13166 21435 21435
Avg. no. of drinks consumed
Treat −0.097 (0.107) −0.011 (0.080) −0.063 (0.119) 0.104 (0.088)
R2 0.070 0.025 0.057 0.014
N 13103 13103 21351 21351
Individual fixed effects No Yes No Yes

Notes: All regressions include individual characteristics, state level controls, state, month, and year fixed effects, and state-specific linear time trend. Specifications 2 and 4 add individual fixed effects. Standard errors, corrected for clustering at the state level, are reported in parentheses.