Nothing Special   »   [go: up one dir, main page]

IDEAS home Printed from https://ideas.repec.org/p/ags/aaea13/150457.html
   My bibliography  Save this paper

Pseudo Panel Data Estimation Technique and Rational Addiction Model: An Analysis of Tobacco, Alcohol and Coffee Demands

Author

Listed:
  • Koksal, Aycan
  • Wohlgenant, Michael
Abstract
In this paper, we generalize the rational addiction model to include three addictive goods: cigarettes, alcohol and coffee. We use a pseudo-panel data approach which has many advantages compared to aggregate and panel data. While cigarette and coffee demands fit well with the rational addiction model, alcohol demand does not. This result might be due to possible inventory effects. Our results suggest that although cigarettes and alcohol reinforce each other in consumption, consumers substitute them when there are permanent changes in relative prices. In the semi-reduced system, the cross-price elasticity of coffee demand with respect to cigarette price is positive and significant. Long-run cross-price elasticities derived from the semi-reduced system and the Morishima elasticities show that when relative prices increase, consumers substitute addictive goods with other addictive goods. This is likely due to compensation and income effects. When there is a permanent increase in relative prices, addicts cut the consumption of a harmful addictive substance, and substitute it with another addictive substance to compensate for the resulting stress. Moreover, when the consumption of an addictive substance decreases after a price increase, relative consumption of other substances increase due to the positive income effect.

Suggested Citation

  • Koksal, Aycan & Wohlgenant, Michael, 2013. "Pseudo Panel Data Estimation Technique and Rational Addiction Model: An Analysis of Tobacco, Alcohol and Coffee Demands," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150457, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea13:150457
    DOI: 10.22004/ag.econ.150457
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/150457/files/SelectedPaper_2609.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.150457?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Olekalns, Nilss & Bardsley, Peter, 1996. "Rational Addiction to Caffeine: An Analysis of Coffee Consumption," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 1100-1104, October.
    2. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    3. Mikael Bask & Maria Melkersson, 2004. "Rationally addicted to drinking and smoking?," Applied Economics, Taylor & Francis Journals, vol. 36(4), pages 373-381.
    4. Verbeek, Marno & Nijman, Theo, 1992. "Can Cohort Data Be Treated as Genuine Panel Data?," Empirical Economics, Springer, vol. 17(1), pages 9-23.
    5. Grossman, Michael & Chaloupka, Frank J & Sirtalan, Ismail, 1998. "An Empirical Analysis of Alcohol Addiction: Results from the Monitoring the Future Panels," Economic Inquiry, Western Economic Association International, vol. 36(1), pages 39-48, January.
    6. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    7. Koksal, Aycan & Wohlgenant, Michael K., 2011. "How do Smoking Bans in Bars/Restaurants Affect Alcohol Consumption?," 2011 Annual Meeting, July 24-26, 2011, Pittsburgh, Pennsylvania 103600, Agricultural and Applied Economics Association.
    8. Gabriel A. Picone & Frank Sloan & Justin G. Trogdon, 2004. "The effect of the tobacco settlement and smoking bans on alcohol consumption," Health Economics, John Wiley & Sons, Ltd., vol. 13(10), pages 1063-1080, October.
    9. Arthur Lewbel, 1989. "Identification and Estimation of Equivalence Scales under Weak Separability," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 56(2), pages 311-316.
    10. McKenzie, D.J.David J., 2004. "Asymptotic theory for heterogeneous dynamic pseudo-panels," Journal of Econometrics, Elsevier, vol. 120(2), pages 235-262, June.
    11. Hoderlein, Stefan & Mihaleva, Sonya, 2008. "Increasing the price variation in a repeated cross section," Journal of Econometrics, Elsevier, vol. 147(2), pages 316-325, December.
    12. Pierpaolo Pierani & Silvia Tiezzi, 2009. "Addiction and interaction between alcohol and tobacco consumption," Empirical Economics, Springer, vol. 37(1), pages 1-23, September.
    13. Verbeek, M.J.C.M. & Nijman, T.E., 1992. "Can cohort data be treated as genuine panel data?," Other publications TiSEM d4eada8f-b91c-4fe7-a58c-7, Tilburg University, School of Economics and Management.
    14. Dargay, Joyce, 2007. "The effect of prices and income on car travel in the UK," Transportation Research Part A: Policy and Practice, Elsevier, vol. 41(10), pages 949-960, December.
    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. Khurram SHAHZAD* & Muhammad Nadeem SARWAR**, 2018. "Analysis of Food Demand Patterns of Sindh Province, Pakistan," Pakistan Journal of Applied Economics, Applied Economics Research Centre, vol. 28(1), pages 147-168.

    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. Aycan Koksal & Michael K. Wohlgenant, 2016. "How do smoking bans in restaurants affect restaurant and at-home alcohol consumption?," Empirical Economics, Springer, vol. 50(4), pages 1193-1213, June.
    2. Koksal, Aycan & Wohlgenant, Michael, 2013. "Interdependence of Tobacco and Alcohol Consumption: A Natural Experiment Approach," 2013 Annual Meeting, August 4-6, 2013, Washington, D.C. 150459, Agricultural and Applied Economics Association.
    3. David Aristei & Luca Pieroni, 2010. "Habits, Complementarities and Heterogeneity in Alcohol and Tobacco Demand: A Multivariate Dynamic Model," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 72(4), pages 428-457, August.
    4. Artūras Juodis, 2018. "Pseudo Panel Data Models With Cohort Interactive Effects," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 36(1), pages 47-61, January.
    5. Rumman Khan, 2021. "Assessing Sampling Error in Pseudo‐Panel Models," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 83(3), pages 742-769, June.
    6. Ortiz, Rodrigo & Fernandez, Viviana, 2022. "Business perception of obstacles to innovate: Evidence from Chile with pseudo-panel data analysis," Research in International Business and Finance, Elsevier, vol. 59(C).
    7. Marco d'Errico & Marco Letta & Pierluigi Montalbano & Rebecca Pietrelli, 2018. "Resilience thresholds to temperature shocks in rural Tanzania: a long-run assessment," Working Papers 2/18, Sapienza University of Rome, DISS.
    8. Tamvada, Jagannadha Pawan, 2010. "The Dynamics of Self-employment in a Developing Country: Evidence from India," MPRA Paper 20042, University Library of Munich, Germany.
    9. Böhringer, Christoph & García-Muros, Xaquín & González-Eguino, Mikel, 2022. "Who bears the burden of greening electricity?," Energy Economics, Elsevier, vol. 105(C).
    10. Rosati, Nicoletta, 2013. "Efficiency of repeated-cross-section estimators in fixed-effects models," Statistics & Probability Letters, Elsevier, vol. 83(7), pages 1770-1775.
    11. d'Errico, Marco & Letta, Marco & Montalbano, Pierluigi & Pietrelli, Rebecca, 2019. "Resilience Thresholds to Temperature Anomalies: A Long-run Test for Rural Tanzania," Ecological Economics, Elsevier, vol. 164(C), pages 1-1.
    12. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.
    13. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    14. Sasiwimon Warunsiri Paweenawat & Lusi Liao, 2019. "“Gold Miss†or “Earthy Mom†? Evidence from Thailand," PIER Discussion Papers 110, Puey Ungphakorn Institute for Economic Research.
    15. Hong Liu & Wei Tan, 2009. "The Effect of Anti-Smoking Media Campaign on Smoking Behavior: The California Experience," Annals of Economics and Finance, Society for AEF, vol. 10(1), pages 29-47, May.
    16. Xavier d'Haultfoeuille & Stefan Hoderlein & Yuya Sasaki, 2013. "Nonlinear difference-in-differences in repeated cross sections with continuous treatments," CeMMAP working papers CWP40/13, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
    17. Daniel Bukstein & Nestor Gandelman, 2014. "Intra-Generational Social Mobility and Entrepreneurship in Uruguay," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 51(2), pages 227-245, November.
    18. Brian Colgan, 2023. "EU-SILC and the potential for synthetic panel estimates," Empirical Economics, Springer, vol. 64(3), pages 1247-1280, March.
    19. Paweenawat, Sasiwimon Warunsiri & McNown, Robert, 2014. "The determinants of income inequality in Thailand: A synthetic cohort analysis," Journal of Asian Economics, Elsevier, vol. 31, pages 10-21.
    20. Lusi Liao & Sasiwimon Warunsiri Paweenawat, 2021. "The inversion of married women's labour supply and wage: Evidence from Thailand," Asian-Pacific Economic Literature, The Crawford School, The Australian National University, vol. 35(1), pages 82-98, May.

    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:ags:aaea13:150457. 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.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.