Оценка эффектов возрастных когорт в потреблении аддиктивных благ
DOI:
https://doi.org/10.22394/1993-7601-2024-76-96-119Ключевые слова:
аддиктивные блага, алкоголь, сигареты, марихуана, здоровье, возрастные когорты, многомерная пробит-модель, эндогенность субъективной оценки здоровьяАннотация
Работа посвящена изучению эффектов возрастных когорт в потреблении аддиктивных благ на примере алкоголя, сигарет и марихуаны. Оценка взаимосвязи между потреблением аддиктивных благ с учетом эндогенности субъективной оценки здоровья осуществлялась с помощью иерархических и неиерархических систем бинарных уравнений по данным Национального исследования потребления наркотиков и здоровья США с 2002 по 2020 г. Исследование показало существование значимых возрастных и гендерных различий в потреблении алкоголя, сигарет и марихуаны. Согласно полученным результатам, потребление каждого из рассматриваемых благ повышает склонность к потреблению других аддиктивных благ, при этом зависимость усиливается с каждой последующей когортой, а разрыв в потреблении аддиктивных благ между мужчинами и женщинами сокращается от старших когорт к младшим.Организации
Авторы выражают благодарность А. А. Романенко за оказанную помощь в проведении исследования.Скачивания
Библиографические ссылки
Коссова Е. В., Слаболицкий И. С., Потанин Б. С. (2023). Оценка вероятностей, предельных эффектов и эффектов воздействия в иерархических системах бинарных уравнений. Вестник Московского университета. Серия 6. Экономика, 4, 23–49. DOI: 10.55959/MSU0130-0105-6-58-4-2.
Agrawal A., Budney A. J., Lynskey M. T. (2012). The co-occurring use and misuse of cannabis and tobacco: A review. Addiction, 107 (7), 1221–1233. DOI: 10.1111/j.1360-0443.2012.03837.x.
Anderson C., Burns D., Dodd K., Feuer E. (2012). Chapter 2: Birth-cohort-specific estimates of smoking behaviors for the U.S. population. Risk Analysis, 32 (1), 14–24. DOI: 10.1111/j.1539-6924.2011.01703.x.
Badiani A., Boden J., De Pirro S., Fergusson D., Horwood L., Harold G. (2015). Tobacco smoking and cannabis use in a longitudinal birth cohort: Evidence of reciprocal causal relationships. Drug and Alcohol Dependence, 150, 69–76. DOI: 10.1016/j.drugalcdep.2015.02.015.
Bello M. S., Khoddam R., Stone M. D., Cho J., Yoon Y., Lee J. O., Leventhal A. M. (2019). Poly-product drug use disparities in adolescents of lower socioeconomic status: Emerging trends in nicotine products, marijuana products, and prescription drugs. Behaviour Research and Therapy, 115, 103–110. DOI: 10.1016/j.brat.2018.11.014.
Briere F., Fallu J.-S., Descheneaux A., Janosz M. (2011). Predictors and consequences of simultaneous alcohol and cannabis. Addictive Behaviors, 36, 785–788. DOI: 10.1016/j.addbeh.2011.02.012.
Cerda M., Johnson-Lawrence V. D., Galea S. (2011). Lifetime income patterns and alcohol consumption: Investigating the association between long-and short-term income trajectories and drinking. Social Science & Medicine, 73 (8), 1178–1185. DOI: 10.1016/j.socscimed.2011.07.025.
Chawla D., Yang Y., Desrosiers T., Westreich D., Olshan A., Daniels J. (2018). Past-month cannabis use among U.S. individuals from 2002–2015: An age-period-cohort analysis. Drug and Alcohol Dependence, 193, 177–182. DOI: 10.1016/j.socscimed.2011.07.025.
Contoyannis P., Jones A. M. (2004). Socio-economic status, health and lifestyle. Journal of Health Economics, 23 (5), 965–995. DOI: 10.1016/j.jhealeco.2004.02.001.
Deindl C., Diehl K., Spallek J., Richter M., Schuttig W., Rattay P., Dragano N., Pischke C. R. (2023). Self-rated health of university students in Germany — The importance of material, psychosocial, and behavioral factors and the parental socio-economic status. Frontiers in Public Health, 11, 1075142. DOI: 10.3389/fpubh.2023.1075142.
Duplaga M. (2020). The use of fitness influencers’ websites by young adult women: A cross-sectional study. International Journal of Environmental Research and Public Health, 17 (17), 6360. DOI: 10.3390/ijerph17176360.
Fairman B. (2015). Cannabis problem experiences among users of the tobacco–cannabis combination known as blunts. Drug and Alcohol Dependence, 150, 77–84. DOI: 10.1016/j.drugalcdep.2015.02.014.
Gilman S. E., Breslau J., Conron K. J., Koenen K. C., Subramanian S. V., Zaslavsky A. M. (2008). Education and race-ethnicity differences in the lifetime risk of alcohol dependence. Journal of Epidemiology & Community Health, 62 (3), 224–230. DOI: 10.1136/jech.2006.059022.
Hall W., Degenhardt L. (2009). Adverse health effects of non-medical cannabis use. Lancet, 374, 1383–1391. DOI: 10.1016/S0140-6736(09)61037-0.
Han S., Vytlacil E. J. (2017). Identification in a generalization of bivariate probit models with dummy endogenous regressors. Journal of Econometrics, 199 (1), 63–73. DOI: 10.1016/j.jeconom.2017.04.001.
Kerr W. C., Lui C., Ye Y. (2018). Trends and age, period and cohort effects for marijuana use prevalence in the 1984–2015 US National Alcohol Surveys. Addiction, 113 (3), 473–481. DOI: 10.1111/add.14031.
Keyes K. M., Li G., Hasin D. S. (2011). Birth cohort effects and gender differences in alcohol epidemiology: A review and synthesis. Alcoholism, Clinical and Experimental Research, 35 (12), 2101–2112. DOI: 10.1111/j.1530-0277.2011.01562.x.
Lee M. H., Kim-Godwin Y. S., Hur H. (2021). Race/ethnicity differences in risk and protective factors for marijuana use among US adolescents. BMC Public Health, 21, 1–10. DOI: 10.1186/s12889-021-11159-z.
Leung J., Gravely S., Lim C., Hall W., Chan G. (2022). Age-period-cohort analysis of trends in tobacco smoking, cannabis use, and their co-use in the Australian population. Addiction, 117 (10), 2730–2735. DOI: 10.1111/add.15951.
Levy D. T., Tam J., Jeon J., Holford T. R., Fleischer N. L., Meza R. (2023). Summary and concluding remarks: Patterns of birth cohort-specific smoking histories. American Journal of Preventive Medicine, 64 (4), 72–79. DOI: 10.1016/j.amepre.2022.12.007.
Lynskey M., Coffey C., Degenhardt L., Carlin J., Patton G. (2003). A longitudinal study of the effects of adolescent cannabis use on high school completion. Addiction, 98, 685–692. DOI: 10.1046/j.1360-0443.2003.00356.x.
Miech R., Koester S. (2012). Trends in U.S., past-year marijuana use from 1985 to 2009: An age-period-cohort analysis. Drug and Alcohol Dependence, 124, 259–267. DOI: 10.1016/j.drugalcdep.2012.01.020.
Mourifie I., Meango R. (2014). A note on the identification in two equations probit model with dummy endogenous regressor. Economics Letters, 125 (3), 360–363. DOI: 10.1016/j.econlet.2014.10.006.
Nicholas L. H., Maclean J. C. (2019). The effect of medical marijuana laws on the health and labor supply of older adults: Evidence from the health and retirement study. Journal of Policy Analysis and Management, 38 (2), 455–480. DOI: 10.1002/pam.22122.
Rehm J., Mathers C., Popova S., Thavorncharoensap M., Teerawattananon Y., Patra J. (2009). Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet, 373 (9682), 2223–2233. DOI: 10.1016/S0140-6736(09)60746-7.
Schauer G., Berg C., Kegler M., Donovan D., Windle M. (2015). Assessing the overlap between tobacco and marijuana: Trends in patterns of co-use of tobacco and marijuana in adults from 2003–2012. Addictive Behaviors, 49, 26–32. DOI: 10.1016/j.addbeh.2015.05.012.
Schlienz N., Lee D. (2018). Co-use of cannabis, tobacco, and alcohol during adolescence: Policy and regulatory implications. International Review of Psychiatry, 30, 1–12. DOI: 10.1080/09540261.2018.1465399.
Smith V. K., Taylor Jr D. H., Sloan F. A., Johnson F. R., Desvousges W. H. (2001). Do smokers respond to health shocks? Review of Economics and Statistics, 83 (4), 675–687. DOI: 10.1162/003465301753237759.
Wang J., Geng L. (2019). Effects of socioeconomic status on physical and psychological health: Lifestyle as a mediator. International Journal of Environmental Research and Public Health, 16 (2), 281. DOI: 10.3390/ijerph16020281.
Kossova E. V., Slabolitskiy I. S., Potanin B. S. (2023). Estimating probabilities, marginal effects and treatment effects in recursive bivariate probit models. Lomonosov Economics Journal, 58 (4), 23–49 (in Russian). DOI: 10.55959/MSU0130-0105-6-58-4-2.
Agrawal A., Budney A. J., Lynskey M. T. (2012). The co-occurring use and misuse of cannabis and tobacco: A review. Addiction, 107 (7), 1221–1233. DOI: 10.1111/j.1360-0443.2012.03837.x.
Anderson C., Burns D., Dodd K., Feuer E. (2012). Chapter 2: Birth-cohort-specific estimates of smoking behaviors for the U.S. population. Risk Analysis, 32 (1), 14–24. DOI: 10.1111/j.1539-6924.2011.01703.x.
Badiani A., Boden J., De Pirro S., Fergusson D., Horwood L., Harold G. (2015). Tobacco smoking and cannabis use in a longitudinal birth cohort: Evidence of reciprocal causal relationships. Drug and Alcohol Dependence, 150, 69–76. DOI: 10.1016/j.drugalcdep.2015.02.015.
Bello M. S., Khoddam R., Stone M. D., Cho J., Yoon Y., Lee J. O., Leventhal A. M. (2019). Poly-product drug use disparities in adolescents of lower socioeconomic status: Emerging trends in nicotine products, marijuana products, and prescription drugs. Behaviour Research and Therapy, 115, 103–110. DOI: 10.1016/j.brat.2018.11.014.
Briere F., Fallu J.-S., Descheneaux A., Janosz M. (2011). Predictors and consequences of simultaneous alcohol and cannabis. Addictive Behaviors, 36, 785–788. DOI: 10.1016/j.addbeh.2011.02.012.
Cerda M., Johnson-Lawrence V. D., Galea S. (2011). Lifetime income patterns and alcohol consumption: Investigating the association between long-and short-term income trajectories and drinking. Social Science & Medicine, 73 (8), 1178–1185. DOI: 10.1016/j.socscimed.2011.07.025.
Chawla D., Yang Y., Desrosiers T., Westreich D., Olshan A., Daniels J. (2018). Past-month cannabis use among U.S. individuals from 2002–2015: An age-period-cohort analysis. Drug and Alcohol Dependence, 193, 177–182. DOI: 10.1016/j.socscimed.2011.07.025.
Contoyannis P., Jones A. M. (2004). Socio-economic status, health and lifestyle. Journal of Health Economics, 23 (5), 965–995. DOI: 10.1016/j.jhealeco.2004.02.001.
Deindl C., Diehl K., Spallek J., Richter M., Schuttig W., Rattay P., Dragano N., Pischke C. R. (2023). Self-rated health of university students in Germany — The importance of material, psychosocial, and behavioral factors and the parental socio-economic status. Frontiers in Public Health, 11, 1075142. DOI: 10.3389/fpubh.2023.1075142.
Duplaga M. (2020). The use of fitness influencers’ websites by young adult women: A cross-sectional study. International Journal of Environmental Research and Public Health, 17 (17), 6360. DOI: 10.3390/ijerph17176360.
Fairman B. (2015). Cannabis problem experiences among users of the tobacco–cannabis combination known as blunts. Drug and Alcohol Dependence, 150, 77–84. DOI: 10.1016/j.drugalcdep.2015.02.014.
Gilman S. E., Breslau J., Conron K. J., Koenen K. C., Subramanian S. V., Zaslavsky A. M. (2008). Education and race-ethnicity differences in the lifetime risk of alcohol dependence. Journal of Epidemiology & Community Health, 62 (3), 224–230. DOI: 10.1136/jech.2006.059022.
Hall W., Degenhardt L. (2009). Adverse health effects of non-medical cannabis use. Lancet, 374, 1383–1391. DOI: 10.1016/S0140-6736(09)61037-0.
Han S., Vytlacil E. J. (2017). Identification in a generalization of bivariate probit models with dummy endogenous regressors. Journal of Econometrics, 199 (1), 63–73. DOI: 10.1016/j.jeconom.2017.04.001.
Kerr W. C., Lui C., Ye Y. (2018). Trends and age, period and cohort effects for marijuana use prevalence in the 1984–2015 US National Alcohol Surveys. Addiction, 113 (3), 473–481. DOI: 10.1111/add.14031.
Keyes K. M., Li G., Hasin D. S. (2011). Birth cohort effects and gender differences in alcohol epidemiology: A review and synthesis. Alcoholism, Clinical and Experimental Research, 35 (12), 2101–2112. DOI: 10.1111/j.1530-0277.2011.01562.x.
Lee M. H., Kim-Godwin Y. S., Hur H. (2021). Race/ethnicity differences in risk and protective factors for marijuana use among US adolescents. BMC Public Health, 21, 1–10. DOI: 10.1186/s12889-021-11159-z.
Leung J., Gravely S., Lim C., Hall W., Chan G. (2022). Age-period-cohort analysis of trends in tobacco smoking, cannabis use, and their co-use in the Australian population. Addiction, 117 (10), 2730–2735. DOI: 10.1111/add.15951.
Levy D. T., Tam J., Jeon J., Holford T. R., Fleischer N. L., Meza R. (2023). Summary and concluding remarks: Patterns of birth cohort-specific smoking histories. American Journal of Preventive Medicine, 64 (4), 72–79. DOI: 10.1016/j.amepre.2022.12.007.
Lynskey M., Coffey C., Degenhardt L., Carlin J., Patton G. (2003). A longitudinal study of the effects of adolescent cannabis use on high school completion. Addiction, 98, 685–692. DOI: 10.1046/j.1360-0443.2003.00356.x.
Miech R., Koester S. (2012). Trends in U.S., past-year marijuana use from 1985 to 2009: An age-period-cohort analysis. Drug and Alcohol Dependence, 124, 259–267. DOI: 10.1016/j.drugalcdep.2012.01.020.
Mourifie I., Meango R. (2014). A note on the identification in two equations probit model with dummy endogenous regressor. Economics Letters, 125 (3), 360–363. DOI: 10.1016/j.econlet.2014.10.006.
Nicholas L. H., Maclean J. C. (2019). The effect of medical marijuana laws on the health and labor supply of older adults: Evidence from the health and retirement study. Journal of Policy Analysis and Management, 38 (2), 455–480. DOI: 10.1002/pam.22122.
Rehm J., Mathers C., Popova S., Thavorncharoensap M., Teerawattananon Y., Patra J. (2009). Global burden of disease and injury and economic cost attributable to alcohol use and alcohol-use disorders. Lancet, 373 (9682), 2223–2233. DOI: 10.1016/S0140-6736(09)60746-7.
Schauer G., Berg C., Kegler M., Donovan D., Windle M. (2015). Assessing the overlap between tobacco and marijuana: Trends in patterns of co-use of tobacco and marijuana in adults from 2003–2012. Addictive Behaviors, 49, 26–32. DOI: 10.1016/j.addbeh.2015.05.012.
Schlienz N., Lee D. (2018). Co-use of cannabis, tobacco, and alcohol during adolescence: Policy and regulatory implications. International Review of Psychiatry, 30, 1–12. DOI: 10.1080/09540261.2018.1465399.
Smith V. K., Taylor Jr D. H., Sloan F. A., Johnson F. R., Desvousges W. H. (2001). Do smokers respond to health shocks? Review of Economics and Statistics, 83 (4), 675–687. DOI: 10.1162/003465301753237759.
Wang J., Geng L. (2019). Effects of socioeconomic status on physical and psychological health: Lifestyle as a mediator. International Journal of Environmental Research and Public Health, 16 (2), 281. DOI: 10.3390/ijerph16020281.
