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Estimation of own and cross price elasticities of alcohol demand in the UK—A pseudo-panel approach using the Living Costs and Food Survey 2001–2009

Author

Listed:
  • Meng, Yang
  • Brennan, Alan
  • Purshouse, Robin
  • Hill-McManus, Daniel
  • Angus, Colin
  • Holmes, John
  • Meier, Petra Sylvia

Abstract

The estimation of price elasticities of alcohol demand is valuable for the appraisal of price-based policy interventions such as minimum unit pricing and taxation. This study applies a pseudo-panel approach to the cross-sectional Living Cost and Food Survey 2001/2–2009 to estimate the own- and cross-price elasticities of off- and on-trade beer, cider, wine, spirits and ready-to-drinks in the UK. A pseudo-panel with 72 subgroups defined by birth year, gender and socioeconomic status is constructed. Estimated own-price elasticities from the base case fixed effect models are all negative and mostly statically significant (p<0.05). Off-trade cider and beer are most elastic (−1.27 and −0.98) and off-trade spirits and on-trade ready-to-drinks are least elastic (−0.08 and −0.19). Estimated cross-price elasticities are smaller in magnitude with a mix of positive and negative signs. The results appear plausible and robust and could be used for appraising the estimated impact of price-based interventions in the UK.

Suggested Citation

  • Meng, Yang & Brennan, Alan & Purshouse, Robin & Hill-McManus, Daniel & Angus, Colin & Holmes, John & Meier, Petra Sylvia, 2014. "Estimation of own and cross price elasticities of alcohol demand in the UK—A pseudo-panel approach using the Living Costs and Food Survey 2001–2009," Journal of Health Economics, Elsevier, vol. 34(C), pages 96-103.
  • Handle: RePEc:eee:jhecon:v:34:y:2014:i:c:p:96-103
    DOI: 10.1016/j.jhealeco.2013.12.006
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    References listed on IDEAS

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    1. Verbeek, Marno & Vella, Francis, 2005. "Estimating dynamic models from repeated cross-sections," Journal of Econometrics, Elsevier, vol. 127(1), pages 83-102, July.
    2. Tomson Ogwang & Danny Cho, 2009. "Economic determinants of the consumption of alcoholic beverages in Canada: a panel data analysis," Empirical Economics, Springer, vol. 37(3), pages 599-613, December.
    3. Moffitt, Robert, 1993. "Identification and estimation of dynamic models with a time series of repeated cross-sections," Journal of Econometrics, Elsevier, vol. 59(1-2), pages 99-123, September.
    4. James Fogarty, 2010. "The Demand For Beer, Wine And Spirits: A Survey Of The Literature," Journal of Economic Surveys, Wiley Blackwell, vol. 24(3), pages 428-478, July.
    5. Deaton, Angus, 1985. "Panel data from time series of cross-sections," Journal of Econometrics, Elsevier, vol. 30(1-2), pages 109-126.
    6. Ruhm, Christopher J. & Jones, Alison Snow & McGeary, Kerry Anne & Kerr, William C. & Terza, Joseph V. & Greenfield, Thomas K. & Pandian, Ravi S., 2012. "What U.S. data should be used to measure the price elasticity of demand for alcohol?," Journal of Health Economics, Elsevier, vol. 31(6), pages 851-862.
    7. Craig A. Gallet, 2007. "The demand for alcohol: a meta-analysis of elasticities," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 51(2), pages 121-135, June.
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    Citations

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    Cited by:

    1. Eugenio J. Miravete & Katja Seim & Jeff Thurk, 2017. "One Markup to Rule Them All: Taxation by Liquor Pricing Regulation," NBER Working Papers 24124, National Bureau of Economic Research, Inc.
    2. repec:wly:emetrp:v:86:y:2018:i:5:p:1651-1687 is not listed on IDEAS
    3. Nigel Kragten & Jesper Rözer, 2017. "The Income Inequality Hypothesis Revisited: Assessing the Hypothesis Using Four Methodological Approaches," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(3), pages 1015-1033, April.
    4. Eugenio J. Miravete & Katja Seim & Jeff Thurk, 2018. "Market Power and the Laffer Curve," Econometrica, Econometric Society, vol. 86(5), pages 1651-1687, September.
    5. Benjamin Bittschi & Ines Fortin & Sebastian Koch & Richard Sellner & Simon Loretz & Gregor Zwirn, 2019. "Price Elasticities and Implied Tax Revenue for Alcoholic Beverages. Evidence from Poland, France and Spain," WIFO Working Papers 579, WIFO.
    6. repec:kap:jbioec:v:19:y:2017:i:3:d:10.1007_s10818-017-9252-0 is not listed on IDEAS
    7. Santosh Kumar, 2016. "Price Elasticity of Alcohol Demand in India," Working Papers 1610, Sam Houston State University, Department of Economics and International Business.
    8. Karel Janda & Zuzana Lajksnerova & Jakub Mikolasek, 2018. "A General Equilibrium Model of Optimal Alcohol Taxation in the Czech Republic," Working Papers IES 2018/08, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Mar 2018.
    9. repec:spr:soinre:v:133:y:2017:i:3:d:10.1007_s11205-016-1409-z is not listed on IDEAS
    10. repec:kap:jincot:v:17:y:2017:i:4:d:10.1007_s10842-017-0244-5 is not listed on IDEAS
    11. Rumman Khan, 2018. "Assessing cohort aggregation to minimise bias in pseudo-panels," Discussion Papers 2018-01, University of Nottingham, CREDIT.

    More about this item

    Keywords

    Alcohol demand; Elasticities; Cross price elasticities; Pseudo-panel;

    JEL classification:

    • C10 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - General
    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • I12 - Health, Education, and Welfare - - Health - - - Health Behavior
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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