IDEAS home Printed from https://ideas.repec.org/p/zbw/rwirep/186.html
   My bibliography  Save this paper

Heterogeneity in the Intergenerational Transmission of Alcohol Consumption – A Quantile Regression Approach

Author

Listed:
  • Schmidt, Christoph M.
  • Tauchmann, Harald

Abstract

This paper addresses the question of whether the effect of parental drinking on children's later consumption of alcohol - which is frequently found to be of positive sign - exhibits a certain pattern of heterogeneity. In particular, if this effect is more prominent in the upper tail than elsewhere in the distribution of children's alcohol consumption, conventional regression analyses that focus on the mean effect may substantially underrate parental drinking as a risk factor for children's later alcohol abuse. In our empirical application, we address this issue by applying censored quantile regression methods to German survey data. The supposed pattern of heterogeneity is indeed found in the data, at least for daily parental drinking. In addition, the intergenerational transmission of alcohol consumption exhibits gender-specific heterogeneity.

Suggested Citation

  • Schmidt, Christoph M. & Tauchmann, Harald, 2010. "Heterogeneity in the Intergenerational Transmission of Alcohol Consumption – A Quantile Regression Approach," Ruhr Economic Papers 186, RWI - Leibniz-Institut für Wirtschaftsforschung, Ruhr-University Bochum, TU Dortmund University, University of Duisburg-Essen.
    • Handle: RePEc:zbw:rwirep:186
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/37007/1/62693348X.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Andrew Chesher, 2001. "Parameter approximations for quantile regressions with measurement error," CeMMAP working papers CWP02/01, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    2. Nigel Rice & Matthew Sutton, 1998. "Drinking patterns within households: the estimation and interpretation of individual and group variables," Health Economics, John Wiley & Sons, Ltd., vol. 7(8), pages 689-699, December.
    3. Powell, James L., 1984. "Least absolute deviations estimation for the censored regression model," Journal of Econometrics, Elsevier, vol. 25(3), pages 303-325, July.
    4. Wei, Ying & Carroll, Raymond J., 2009. "Quantile Regression With Measurement Error," Journal of the American Statistical Association, American Statistical Association, vol. 104(487), pages 1129-1143.
    5. Buchinsky, Moshe, 1994. "Changes in the U.S. Wage Structure 1963-1987: Application of Quantile Regression," Econometrica, Econometric Society, vol. 62(2), pages 405-458, March.
    6. Powell, James L., 1986. "Censored regression quantiles," Journal of Econometrics, Elsevier, vol. 32(1), pages 143-155, June.
    7. Dean Jolliffe & Bohdan Krushelnytskyy & Anastassia Semykina, 2001. "Censored least absolute deviations estimator: CLAD," Stata Technical Bulletin, StataCorp LP, vol. 10(58).
    8. Tauchmann, Harald & Göhlmann, Silja & Requate, Till & Schmidt, Christoph M., 2006. "Tobacco and Alcohol: Complements or Substitutes? - A Statistical Guinea Pig Approach," RWI Discussion Papers 52, RWI - Leibniz-Institut für Wirtschaftsforschung.
    9. Roger Koenker & Kevin F. Hallock, 2001. "Quantile Regression," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 143-156, Fall.
    10. Jerry Hausman, 2001. "Mismeasured Variables in Econometric Analysis: Problems from the Right and Problems from the Left," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 57-67, Fall.
    11. Alison Snow Jones & Deborah J. Miller & David S. Salkever, 1999. "Parental use of alcohol and children's behavioural health: a household production analysis," Health Economics, John Wiley & Sons, Ltd., vol. 8(8), pages 661-683, December.
    12. Cameron,A. Colin & Trivedi,Pravin K., 2005. "Microeconometrics," Cambridge Books, Cambridge University Press, number 9780521848053, January.
    13. Koenker, Roger W & Bassett, Gilbert, Jr, 1978. "Regression Quantiles," Econometrica, Econometric Society, vol. 46(1), pages 33-50, January.
    14. Schennach, Susanne M., 2008. "Quantile Regression With Mismeasured Covariates," Econometric Theory, Cambridge University Press, vol. 24(4), pages 1010-1043, August.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Johnston, David W. & Schurer, Stefanie & Shields, Michael A., 2011. "Evidence on the Long Shadow of Poor Mental Health across Three Generations," IZA Discussion Papers 6014, Institute of Labor Economics (IZA).
    2. Black, Sandra & Devereux, Paul J. & Majlesi, Kaveh & Lundborg, Petter, 2015. "On the Origins of Risk-Taking," CEPR Discussion Papers 10694, C.E.P.R. Discussion Papers.
    3. Ubaldi, Michele & Picchio, Matteo, 2023. "Intergenerational Scars: The Impact of Parental Unemployment on Individual Health Later in Life," IZA Discussion Papers 16103, Institute of Labor Economics (IZA).
    4. Johnston, David W. & Schurer, Stefanie & Shields, Michael A., 2013. "Exploring the intergenerational persistence of mental health: Evidence from three generations," Journal of Health Economics, Elsevier, vol. 32(6), pages 1077-1089.
    5. Alexander Ahammer & Martin Halla, 2022. "The intergenerational persistence of opioid dependence: Evidence from administrative data," Health Economics, John Wiley & Sons, Ltd., vol. 31(11), pages 2425-2444, November.
    6. Alexander Ahammer & Martin Halla, 2020. "The Intergenerational Transmission of Opioid Dependence: Evidence from Administrative Data," CDL Aging, Health, Labor working papers 2020-02, The Christian Doppler (CD) Laboratory Aging, Health, and the Labor Market, Johannes Kepler University Linz, Austria.
    7. Jérémy Tanguy, 2022. "The impact of parents' health shocks on children's health behaviors," French Stata Users' Group Meetings 2022 22, Stata Users Group.
    8. Jing You & Xinxin Ding & Miguel Niño-Zarazúa & Sangui Wang, 2015. "Lofty pine and clinging vine: The educational 'Great Gatsby Curve' and the role of house prices," WIDER Working Paper Series wp-2015-147, World Institute for Development Economic Research (UNU-WIDER).
    9. Philipp Huebler & Andreas Kucher, 2016. "Ashes to ashes, time to time - Parental time discounting and its role in the intergenerational transmission of smoking," Discussion Paper Series 326, Universitaet Augsburg, Institute for Economics.
    10. Yanjun Ren & Bente Castro Campos & Jens-Peter Loy, 2020. "Drink and smoke; drink or smoke? The interdependence between alcohol and cigarette consumption for men in China," Empirical Economics, Springer, vol. 58(3), pages 921-955, March.
    11. Ren, Yanjun & Zhang, Yanjie & Castro Campos, Bente & Loy, Jens-Peter, 2020. "Unhealthy consumption behaviors and their intergenerational persistence: The role of education," China Economic Review, Elsevier, vol. 62(C).
    12. Halliday, Timothy & Mazumder, Bhashkar & Wong, Ashley, 2021. "Intergenerational mobility in self-reported health status in the US," Journal of Public Economics, Elsevier, vol. 193(C).
    13. Benjamin Volland, 2013. "On the intergenerational transmission of preferences," Journal of Bioeconomics, Springer, vol. 15(3), pages 217-249, October.
    14. Jing You & Xinxin Ding & Miguel Niño-Zarazúa & Sangui Wang, 2015. "Lofty pine and clinging vine: The educational ‘Great Gatsby Curve’ and the role of house prices," WIDER Working Paper Series 147, World Institute for Development Economic Research (UNU-WIDER).
    15. Tomáš Želinský, 2021. "Intertemporal Choices of Children and Adults from Poor Roma Communities: A Case Study from Slovakia," Eastern European Economics, Taylor & Francis Journals, vol. 59(4), pages 378-405, July.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Christoph M. Schmidt & Harald Tauchmann, 2010. "Heterogeneity in the Intergenerational Transmission of Alcohol Consumption – A Quantile Regression Approach," Ruhr Economic Papers 0186, Rheinisch-Westfälisches Institut für Wirtschaftsforschung, Ruhr-Universität Bochum, Universität Dortmund, Universität Duisburg-Essen.
    2. repec:zbw:rwirep:0186 is not listed on IDEAS
    3. Eren, Ozkan & Ozbeklik, Serkan, 2013. "The effect of noncognitive ability on the earnings of young men: A distributional analysis with measurement error correction," Labour Economics, Elsevier, vol. 24(C), pages 293-304.
    4. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Robust Estimation of Wage Dispersion with Censored Data: An Application to Occupational Earnings Risk and Risk Attitudes," De Economist, Springer, vol. 168(4), pages 519-540, December.
    5. Daniel Pollmann & Thomas Dohmen & Franz Palm, 2020. "Dispersion estimation; Earnings risk; Censoring; Quantile regression; Occupational choice; Sorting; Risk preferences; SOEP; IABS," ECONtribute Discussion Papers Series 028, University of Bonn and University of Cologne, Germany.
    6. Stacy, Brian, 2014. "Left with Bias? Quantile Regression with Measurement Error in Left Hand Side Variables," EconStor Preprints 104744, ZBW - Leibniz Information Centre for Economics.
    7. Komunjer, Ivana, 2013. "Quantile Prediction," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 961-994, Elsevier.
    8. Victor Chernozhukov & Iván Fernández‐Val & Blaise Melly, 2013. "Inference on Counterfactual Distributions," Econometrica, Econometric Society, vol. 81(6), pages 2205-2268, November.
    9. Chesher, Andrew, 2017. "Understanding the effect of measurement error on quantile regressions," Journal of Econometrics, Elsevier, vol. 200(2), pages 223-237.
    10. Gustavsen, Geir Waehler, 2005. "Public Policies and the Demand for Carbonated Soft Drinks: A Censored Quantile Regression Approach," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24737, European Association of Agricultural Economists.
    11. Jiang, Rong & Qian, Weimin & Zhou, Zhangong, 2012. "Variable selection and coefficient estimation via composite quantile regression with randomly censored data," Statistics & Probability Letters, Elsevier, vol. 82(2), pages 308-317.
    12. Zhangong Zhou & Rong Jiang & Weimin Qian, 2013. "LAD variable selection for linear models with randomly censored data," Metrika: International Journal for Theoretical and Applied Statistics, Springer, vol. 76(2), pages 287-300, February.
    13. Sibelle Diniz & Ana Machado, 2011. "Analysis of the consumption of artistic-cultural goods and services in Brazil," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 35(1), pages 1-18, February.
    14. Eide, Eric & Showalter, Mark H., 1998. "The effect of school quality on student performance: A quantile regression approach," Economics Letters, Elsevier, vol. 58(3), pages 345-350, March.
    15. Belloni, Alexandre & Chernozhukov, Victor & Chetverikov, Denis & Fernández-Val, Iván, 2019. "Conditional quantile processes based on series or many regressors," Journal of Econometrics, Elsevier, vol. 213(1), pages 4-29.
    16. Lei Chen & Rangan Gupta & Zinnia Mukherjee & Peter Wanke, 2016. "Technical efficiency of Connecticut Long Island Sound lobster fishery: a nonparametric approach to aggregate frontier analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 81(3), pages 1533-1548, April.
    17. Lee, Sokbae, 2007. "Endogeneity in quantile regression models: A control function approach," Journal of Econometrics, Elsevier, vol. 141(2), pages 1131-1158, December.
    18. Marcelo Cajias & Philipp Freudenreich & Anna Freudenreich, 2020. "Exploring the determinants of real estate liquidity from an alternative perspective: censored quantile regression in real estate research," Journal of Business Economics, Springer, vol. 90(7), pages 1057-1086, August.
    19. Pedro Portugal & José Ferreira Machado, 2006. "U.S. Unemployment Duration: Has Long Become Longer or Short Become Shorter?," Working Papers w200613, Banco de Portugal, Economics and Research Department.
    20. Achim Schmillen & Joachim Möller, 2009. "Determinants of Lifetime Unemployment - A Micro Data Analysis with Censored Quantile Regressions," Working Papers 275, Leibniz Institut für Ost- und Südosteuropaforschung (Institute for East and Southeast European Studies).
    21. Moshe Buchinsky & Jinyong Hahn, 1998. "An Alternative Estimator for the Censored Quantile Regression Model," Econometrica, Econometric Society, vol. 66(3), pages 653-672, May.

    More about this item

    Keywords

    Alcohol consumption; intergenerational transmission; heterogeneity; censored quantile regression;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • J62 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Job, Occupational and Intergenerational Mobility; Promotion

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:zbw:rwirep:186. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/rwiesde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.