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What U.S. data should be used to measure the price elasticity of demand for alcohol?

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Author Info

  • Ruhm, Christopher J.
  • Jones, Alison Snow
  • McGeary, Kerry Anne
  • Kerr, William C.
  • Terza, Joseph V.
  • Greenfield, Thomas K.
  • Pandian, Ravi S.

Abstract

This paper examines how estimates of the price elasticity of demand for beer vary with the choice of alcohol price series examined. Our most important finding is that the commonly used ACCRA price data are unlikely to reliably indicate alcohol demand elasticities—estimates obtained from this source vary drastically and unpredictably. As an alternative, researchers often use beer taxes to proxy for alcohol prices. While the estimated beer taxes elasticities are more stable, there are several problems with using taxes, including difficulties in accounting for cross-price effects. We believe that the most useful estimates reported in this paper are obtained using annual Uniform Product Code (UPC) “barcode” scanner data on grocery store alcohol prices. These estimates suggest relatively low demand elasticity, probably around −0.3, with evidence that the elasticities are considerably overstated in models that control for beer but not wine or spirits prices.

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Bibliographic Info

Article provided by Elsevier in its journal Journal of Health Economics.

Volume (Year): 31 (2012)
Issue (Month): 6 ()
Pages: 851-862

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Handle: RePEc:eee:jhecon:v:31:y:2012:i:6:p:851-862

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Web page: http://www.elsevier.com/locate/inca/505560

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Keywords: Alcohol; Beer drinking; Price elasticities; Scanner data;

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Cited by:
  1. 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.
  2. 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.

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