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Coverage of Retail Stores and Discrete Choice Models of Demand: Estimating Price Elasticities and Welfare Effects

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  • Franco Mariuzzo

    (The Geary Institute University College Dublin)

  • Patrick Paul Walsh

    (SPIRe and The Geary Institute University College Dublin)

  • Ciara Whelan

    (Univesity College Dublin)

Abstract

Consumers’ choice set of products within stores can be limited. Ackerberg and Rysman (2005) address this problem by modeling unobserved consumer preferences over products and retail stores, leading to augmented demand specifications. Having Carbonated Soft Drink product level data, where we observe products’ store coverage, we are able to estimate their logit, nested logit and random coefficient logit specifications of demand in a structural model of equilibrium. Allowing for store coverage turns out to have a very significant impact on the estimated structural parameters and on the predictive power of the model. Taking these estimated structural parameters we perform a counterfactual whereby stores carry all products in the market. We find systematic increases in price elasticities and welfare in our new equilibrium. Competition in markets is more curtailed than normally assumed in structural models of industries.

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File URL: http://www.ucd.ie/geary/static/publications/workingpapers/gearywp200922.pdf
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Bibliographic Info

Paper provided by Geary Institute, University College Dublin in its series Working Papers with number 200922.

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Length: 56 pages
Date of creation: 21 Jul 2009
Date of revision:
Handle: RePEc:ucd:wpaper:200922

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Related research

Keywords: Carbonated Soft Drinks; differentiated products; discrete choice; store coverage; structural model; price elasticities; welfare;

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References

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Cited by:
  1. Sergei Koulayev, 2009. "Estimating demand in search markets: the case of online hotel bookings," Working Papers 09-16, Federal Reserve Bank of Boston.

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