The Impact of Omitting Promotion Variables on Simulation Experiments

David Weiskopf ()

International Journal of the Economics of Business, 2000, vol. 7, issue 2, 159-166

Abstract: Using store-level scanner data, elasticity matrices are estimated using a twotiered demand system. Two basic models are estimated, one with promotion variables and one without. Differences between the estimates across the two models are statistically significant. However, when the elasticities are used as 'inputs' into several simulation exercises, there are only small differences in merger effects and patent damage estimates.The results suggest that the differences are not 'economically' significant.

Keywords: Antitrust; Aids Demand; Merger Simulation; Patent Damage Simulation; Scanner Data; Omitted Variables Bias (search for similar items in EconPapers)
Date: 2000
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Citations: View citations in EconPapers (2)

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DOI: 10.1080/13571510050084505

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