Illicit drug use and educational attainment

Health Economics

Volumn 15, Issue 5, 2006, Pages 489-511

  Chatterji, Pinka ^a,b  

^a CAMBRIDGE HEALTH ALLIANCE   (United States)

^b NATIONAL BUREAU OF ECONOMIC RESEARCH   (United States)

Author keywords

Education; Human capital; Illicit drug use

Indexed keywords

CANNABIS; COCAINE; ILLICIT DRUG;

ACADEMIC ACHIEVEMENT; ADOLESCENT; ARTICLE; BEHAVIOR DISORDER; CONTROLLED STUDY; CORRELATION COEFFICIENT; DRUG USE; EMPIRICISM; FEMALE; HEALTH CARE POLICY; HEALTH ECONOMICS; HIGH SCHOOL STUDENT; HUMAN; INDIVIDUALIZATION; LONGITUDINAL STUDY; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; PRIORITY JOURNAL; SENSITIVITY ANALYSIS;

ADOLESCENT; EDUCATIONAL STATUS; EMPIRICAL RESEARCH; FEMALE; HUMANS; LONGITUDINAL STUDIES; MALE; MODELS, STATISTICAL; STREET DRUGS; SUBSTANCE-RELATED DISORDERS; UNITED STATES;

EID: 33646590924     PISSN: 10579230     EISSN: 10991050     Source Type: Journal    
DOI: 10.1002/hec.1085     Document Type: Article

References (45)

1. Johnston LD, O'Malley PM, Bachman JG. Ecstasy use among American teens drops for the first time in recent years, and overall drug and alcohol use also decline in the year after 9/11. University of Michigan News and Information Services: Ann Arbor, MI, 16 December 2002 [On-line]. Available: www.monitoringthefuture.org, accessed 9/30/03.
2. US Department of Justice. Substance abuse: the nation's number one health problem. Office of Juvenile Justice and Delinquency Prevention Fact Sheet #17, May 2001.
3. Office of National Drug Control Policy (ONDCP). America's drug use profile, youth drug use, a problem with profound implications. http://www.ncjrs.org/ondcppubs/publications/policy/99ndcs/ii-c.html, accessed 9/ 23/03.
4. Hawkins JD, Catalano RF, Miller JY. Risk and protective factors for alcohol and other drug problems in adolescence and early adulthood: implications for substance use prevention. Psychol Bull 1992; 112: 64-105.
5. Brook JS, Balka EB, Whiteman M. The risks for late adolescence of early marijuana use. Am J Public Health 1999; 89: 1549-1554.
6. Bray J, Zarkin G, Ringwalt C, Qi J. The relationship between marijuana initiation and dropping out of high school. Health Econ 2000; 9: 9-18.
7. Yamada T, Kendix M, Yamada T. The impact of alcohol and marijuana consumption on high school graduation. Health Econ 1998; 7: 77-92.
8. Diego MA, Field TM, Sander CE. Academic performance, popularity, and depression predict adolescent substance use. Adolescence 2003; 38: 35-42.
9. Pacula RL, Ringel J, Ross KE. Does marijuana use impair human capital formation? National Bureau of Economic Research Working Paper 9963, September 2003.
10. Jessor R, Jessor SL. Problem Behavior and Psychosocial Development: A Longitudinal Study of Youth. Academic Press: New York, 1977.
11. Newcomb M, Bentler P. Consequences of Adolescent Drug Use. Sage Publications: Beverley Hills, CA, 1988.
12. Byrant AL, Schulenberg JE, O'Malley PM, Bachman JG, Johnston LD. How academic achievement, attitudes and behaviors relate to the course of substance use during adolescence: a six year multi-wave longitudinal study. J Res Adolescence 2003; 13: 361-397.
13. Molina BS, Pelham WE. Childhood predictors of adolescent substance use in a longitudinal study of children with ADHD. J Abnormal Psychol 2003; 112: 497-507.
14. Slater MD. Sensation-seeking as a moderator of the effects of peer influences, consistency with personal aspirations and perceived harm on marijuana and cigarette use among younger adolescents. Substance Use Misuse 2003; 38: 865-880.
15. DeWit DJ. Frequent childhood geographic relocation: its impact on drug use initiation and the development of alcohol and other drug-related problems among adolescents and young adults. Addictive Behav 1998; 23: 623-634.
16. Griffin KW, Botvin GJ, Scheier LM, Nichols TR. Factors associated with regular marijuana use among high school students: a long-term follow-up study. Substance Use Misuse 2002; 37: 225-238.
17. Field T, Diego M, Sanders C. Adolescent depression and risk factors. Adolescence 2001; 36: 491-498.
18. Flewelling RL, Bauman KE. Family structure as a predictor of initial substance use and sexual intercourse in early adolescence. J Marriage Fam 1990; 52: 171-181.
19. Bachman JG, Wallace JM, O'Malley PM, Johnston LD, Kurth CL, Neighbors HW. Racical/ethnic differences in smoking, drinking and illicit drug use among American high school seniors, 1976-89. Am J Public Health 1991; 81: 372-377.
20. Jeynes WH. The effects of recent parental divorce on their children's consumption of marijuana, cocaine. J Divorce Remarriage 2001; 35: 43-65.
21. Brandon RN. Impact of peer substance use on middle school performance in Washington. Interim Report to the Division of Alcohol and Substance Abuse, Department of Social and Health Services, State of Washington, 12 September 2000.
22. Sale E, Sambrano S, Springer JF, Turner CW. Risk, protection, and substance use in adolescents: a multi-site model. J Drug Educ 2003; 33: 91-105.
23. Cook P, Moore M. Drinking and schooling. J Health Econ 1993; 12: 411-429.
24. Koch SF, Ribar DC. A siblings analysis of the effects of alcohol consumption onset on educational attainment. Contemp Econ Policy 2001; 19: 162-174.
25. Dee TS, Evans WN. Teen drinking and educational attainment: evidence from two-sample instrumental variables (TSIV) estimates. J Labor Econ 2003; 21: 178-209.
26. Newcomb M, Bentler P. Drug use, educational aspirations, and work force involvement: the transition from adolescence to young adulthood. Am J Community Psychol 1986; 14: 303-321.
27. Newcomb M, Bentler P. The impact of high school substance use on choice of young adult living environment and career direction. J Drug Educ 1985; 15: 253-260.
28. DeSimone J. Illegal drug use and employment. J Labor Econ 2002; 20: 952-977.
29. Kaestner R. The effect of illicit drug use on the wages of young adults. J Labor Econ 1991; 9: 381-412.
30. Kaestner R. New estimates of the effect of marijuana, cocaine use on wages. Ind Labor Relations Rev 1994; 47: 454-470.
31. Greene WH. Econometric Analysis (5th edn). Pearson Education Inc.: Upper Saddle River, NJ, 2003.
32. Painter G, Levine DI. Family structure and youths' outcomes: which correlations are causal? J Hum Resourc 2000; 3: 524-549.
33. Bound J, Jaeger DA, Baker RM. Problems with instrumental variables estimation when the correlation between the instruments and the endogenous explanatory variables is weak. J Am Stat Assoc 1995; 90: 443-450.
34. Bollen KA, Guilkey DK, Mroz TA. Binary outcomes and endogenous explanatory variables: tests and solutions with an application to the demand for contraceptive use in Tunisia. Demography 1995; 32: 111-131.
35. Nelson CR, Startz R. The distribution of the instrumental variables estimator and its T-statistic when the instrument is a poor one. J Bus 1990; 63: S125-S139.
36. Staiger D, Stock JH. Instrumental variables regression with weak instruments. Econometrica 1997; 65: 557-586.
37. Dee T. State alcohol policies, teen drinking and traffic fatalities. J Public Econ 1999; 72: 289-315.
38. Pacula RL, Chriqui JF, King J. Marijuana decriminalization: what does it mean in the United States? National Bureau of Economic Research Working Paper 9690, May 2003.
39. Kandel D. Stages in adolescent involvement in drug use. Science 1975; 190: 912-914.
40. Moral AR, McCaffrey DF, Paddock SM. Reassessing the marijuana gateway effect. Addiction 2002; 97: 1493-1504.
41. National Center for Education Statistics (NCES). NELS base-year to fourth follow-up data file user's manual, June 2002.
42. Grossman M, Chaloupka FJ. The demand for cocaine by young adults: a rational addiction approach. J Health Econ 1998; 17: 427-474.
43. Bradley MR, Green Jr NM, Jones DE, Lynn M, McNeil L. Churches and Church Membership in the United States 1990. Glenmary Research Center: Atlanta, 1992.
44. Ashenfelter O, Harmon C, Oosterbeek H. A review of estimates of the schooling/earnings relationship, with tests for publication bias. Labour Econ 1999; 6: 453-470.
45. Kandel D, Davies M. Labor force experiences of a national sample of young adult men: the role of drug involvement. Youth Soc 1990; 21: 411-445.