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. Author manuscript; available in PMC: 2013 Nov 1.
Published in final edited form as: Health Econ. 2011 Sep 12;21(11):1318–1335. doi: 10.1002/hec.1788

Table 6.

Conditional Fixed-Effects Estimation (Logit and Negative Binomial): Group-Specific Results for the State Unemployment Rate

Group Any binge
drinking1 		Days of binge
drinking2,3 		Driving after too
much to drink1 		Alcohol abuse and/or
dependence1 		N4
Full sample 1.268***
(0.037)		 1.080***
(0.012)		 1.350***
(0.074)		 1.167***
(0.043)		 34,120
Race/ethnicity
 White 1.282***
(0.049)		 1.073***
(0.014)		 1.374***
(0.093)		 1.168***
(0.055)		 19,885
 Black 1.232***
(0.102)		 1.159***
(0.042)		 1.394
(0.296)		 1.067
(0.113)		 6,459
 Hispanic 1.223***
(0.081)		 1.111***
(0.032)		 1.333*
(0.206)		 1.151
(0.106)		 6,264
Age (in Wave 1)
 18-24 1.521***
(0.121)		 1.122***
(0.028)		 1.290**
(0.167)		 1.121
(0.092)		 3,897
 25-59 1.253***
(0.042)		 1.068***
(0.014)		 1.372***
(0.088)		 1.220***
(0.054)		 22,347
Employment status
 Employed
(both waves)		 1.252***
(0.045)		 1.062***
(0.014)		 1.277***
(0.083)		 1.166***
(0.053)		 19,031

Notes: Time-varying control variables include month-of-the-interview fixed-effects, beer taxes in cents per 12 oz. drink (US$2001), percentage of employed individuals represented by unions in each state, personal income (natural log, US$2001), number of people in household, number of children under 18 in household, SF-12 general health and mental health scales, marital status, schooling, currently employed, and residing in an MSA. *, **, and *** indicate statistical significance at the 10%, 5%, and 1% levels. Standard errors are presented in parenthesis.

1

Estimated with conditional fixed-effect logit. Coefficient estimates were transformed into odds ratios.

2

Estimated with conditional fixed-effect negative binomial. Coefficient estimates were transformed into incidence rate ratios.

3

Days of drinking 5+ (4+) drinks per episode for men (women).

4

Sample sizes reported here are those prior to the specific estimations. With conditional fixed-effects estimation, sample sizes become smaller as these techniques only include those individuals who changed their drinking behavior from Wave 1 to Wave 2.