title: The impact of problem drinking on employment.
abstract: Social cost studies report that alcohol use and misuse impose a great economic burden on society, and over half of the total economic costs are estimated to be due to the loss of work productivity. Controversy remains, however, as to the magnitude and direction of the effects of alcohol consumption on productivity. Furthermore, most of the studies have looked at the relationship between problem drinking and wages. This paper investigates the impact of problem drinking on employment by analysing a random sample of men and women of prime working age from six Southern states in the US (Alabama, Arkansas, Georgia, Louisiana, Mississippi and Tennessee). The data set contains 4898 females and 3224 males, with information on both employment and problem drinking. To eliminate the bias that may result from single-equation estimation, we used a bivariate probit model to control for possible correlation in the unobservable factors that affect both problem drinking and employment. We find no significant negative association between problem drinking and employment for both men and women, controlling for other covariates. The findings are consistent with other research and highlight several methodological issues. Furthermore, the study suggests that estimates of the costs of problem drinking may be overstated owing to misleading labour supply relationships.
authors.affiliation: Corning Incorporated, Corning, NY 14831, USA. fengw@corning.com
authors.forename: W
authors.initials: W
authors.lastname: Feng
authors.forename: W
authors.initials: W
authors.lastname: Zhou
authors.forename: J S
authors.initials: JS
authors.lastname: Butler
authors.forename: B M
authors.initials: BM
authors.lastname: Booth
authors.forename: M T
authors.initials: MT
authors.lastname: French
mesh_terms: D000328:Adult; D000437:Alcoholism / Q000191:economics* / Q000453:epidemiology; D000704:Analysis of Variance; D015982:Bias; D017281:Cost of Illness; D004526:Efficiency; D004651:Employment / Q000706:statistics & numerical data*; D005260:Female; D006304:Health Status; D006801:Humans; D008137:Longitudinal Studies; D008297:Male; D017059:Models, Econometric; D011159:Population Surveillance; D012423:Rural Health / Q000706:statistics & numerical data; D015144:Southeastern United States / Q000453:epidemiology; D011795:Surveys and Questionnaires; D014504:Urban Health / Q000706:statistics & numerical data