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Estimating the price elasticity of beer: Meta-analysis of data with heterogeneity, dependence, and publication bias

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  • Nelson, Jon P.

Abstract

Precise estimates of price elasticities are important for alcohol tax policy. Using meta-analysis, this paper corrects average beer elasticities for heterogeneity, dependence, and publication selection bias. A sample of 191 estimates is obtained from 114 primary studies. Simple and weighted means are reported. Dependence is addressed by restricting number of estimates per study, author-restricted samples, and author-specific variables. Publication bias is addressed using funnel graph, trim-and-fill, and Egger's intercept model. Heterogeneity and selection bias are examined jointly in meta-regressions containing moderator variables for econometric methodology, primary data, and precision of estimates. Results for fixed- and random-effects regressions are reported. Country-specific effects and sample time periods are unimportant, but several methodology variables help explain the dispersion of estimates. In models that correct for selection bias and heterogeneity, the average beer price elasticity is about −0.20, which is less elastic by 50% compared to values commonly used in alcohol tax policy simulations.

Suggested Citation

  • Nelson, Jon P., 2014. "Estimating the price elasticity of beer: Meta-analysis of data with heterogeneity, dependence, and publication bias," Journal of Health Economics, Elsevier, vol. 33(C), pages 180-187.
  • Handle: RePEc:eee:jhecon:v:33:y:2014:i:c:p:180-187
    DOI: 10.1016/j.jhealeco.2013.11.009
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    1. Karel Janda & Zuzana Lajksnerová & Jakub Mikolášek, 2019. "A General Equilibrium Model of Optimal Alcohol Taxation in the Czech Republic," Prague Economic Papers, Prague University of Economics and Business, vol. 2019(5), pages 589-611.
    2. Nemati, Mehdi & Penn, Jerrod, 2020. "The impact of information-based interventions on conservation behavior: A meta-analysis," Resource and Energy Economics, Elsevier, vol. 62(C).
    3. Calcott, Paul, 2019. "Minimum unit prices for alcohol," Journal of Health Economics, Elsevier, vol. 66(C), pages 18-26.
    4. Kenneth W. Clements & Yihui Lan & Haiyan Liu, 2020. "Understanding alcohol consumption across countries," Applied Economics, Taylor & Francis Journals, vol. 52(40), pages 4421-4439, August.
    5. Christopher Snyder & Ran Zhuo, 2018. "Sniff Tests as a Screen in the Publication Process: Throwing out the Wheat with the Chaff," NBER Working Papers 25058, National Bureau of Economic Research, Inc.
    6. Jarle Møen & Helge Sandvig Thorsen, 2017. "Publication Bias in the Returns to R&D Literature," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 8(3), pages 987-1013, September.
    7. Trey Malone & Jayson L. Lusk, 2019. "Releasing The Trap: A Method To Reduce Inattention Bias In Survey Data With Application To U.S. Beer Taxes," Economic Inquiry, Western Economic Association International, vol. 57(1), pages 584-599, January.
    8. Reed, W. Robert, 2015. "A Monte Carlo analysis of alternative meta-analysis estimators in the presence of publication bias," Economics - The Open-Access, Open-Assessment E-Journal, Kiel Institute for the World Economy (IfW), vol. 9, pages 1-40.
    9. repec:wly:econjl:v::y:2017:i:605:p:f236-f265 is not listed on IDEAS
    10. Abolhasani, L. & Tajabadi, M. & Shahnoushi Forushahi, N., 2018. "Price elasticity of residential water demand: a Meta analysis of studies on water demand, (case study: Iran)," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 275890, International Association of Agricultural Economists.
    11. Penn, Jerrod & Hu, Wuyang, 2019. "Cheap talk efficacy under potential and actual Hypothetical Bias: A meta-analysis," Journal of Environmental Economics and Management, Elsevier, vol. 96(C), pages 22-35.
    12. Trey Malone & Jayson L. Lusk, 2016. "Brewing up entrepreneurship: government intervention in beer," Journal of Entrepreneurship and Public Policy, Emerald Group Publishing, vol. 5(3), pages 325-342, November.
    13. John P. A. Ioannidis & T. D. Stanley & Hristos Doucouliagos, 2017. "The Power of Bias in Economics Research," Economic Journal, Royal Economic Society, vol. 127(605), pages 236-265, October.
    14. Vinish Shrestha, 2015. "Estimating the Price Elasticity of Demand for Different Levels of Alcohol Consumption among Young Adults," American Journal of Health Economics, MIT Press, vol. 1(2), pages 224-254, Spring.
    15. Jon P. Nelson & Amy D. McNall, 2017. "What happens to drinking when alcohol policy changes? A review of five natural experiments for alcohol taxes, prices, and availability," The European Journal of Health Economics, Springer;Deutsche Gesellschaft für Gesundheitsökonomie (DGGÖ), vol. 18(4), pages 417-434, May.
    16. Adrian R. Fleissig, 2020. "Impact of Casino Gambling and Lotteries on Demand for Other ‘Sin’ Goods," Atlantic Economic Journal, Springer;International Atlantic Economic Society, vol. 48(3), pages 327-338, September.
    17. James Fogarty & Giri Parameswaran, 2017. "Alcohol Sin Taxes," Working Papers 257211, University of Western Australia, School of Agricultural and Resource Economics.

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    More about this item

    Keywords

    Alcohol; Prices; Taxes; Elasticity; Meta-analysis;
    All these keywords.

    JEL classification:

    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I10 - Health, Education, and Welfare - - Health - - - General
    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C59 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Other

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    1. Meta-Analysis in Economics

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