What US Data Should Be Used to Measure the Price Elasticity of Demand for Alcohol

Working Paper: NBER ID: w17578

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

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.

Keywords: price elasticity; demand for alcohol; beer prices; taxes; UPC data

JEL Codes: H21; I12; I18


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
ACCRA prices (P22)beer demand elasticity (D12)
beer taxes (H29)beer demand elasticity (D12)
UPC scanner data (Y10)beer demand elasticity (D12)
wine and spirits prices (L66)beer demand elasticity (D12)

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