JSTOR is a not-for-profit service that helps scholars, researchers, and students discover, use, and build upon a wide range of content in a trusted digital archive. We use information technology and tools to increase productivity and facilitate new forms of scholarship. For more information about JSTOR, please contact support@jstor.org. This study utilizes a brand-level dataset that captures a uniq experiment, a 100% increase in the excise tax, to evaluate d pricing models in the U.S. beer industry. To assess the plaus different models, the increase in marginal cost resulting fro increase is exploited: observed prices in the post-increase p compared to the prices that should be observed under variou models. Three types of models are analyzed: Bertrand-Nash, l and collusion. Results indicate that extreme cases of collusi confidently ruled out while several models may explain th prices equally well.
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