We conduct Monte Carlo experiments to investigate the biases of assuming a misspecified demand model. We study continuous models (linear, log-linear and AIDS), and discrete choice models (logit) in the context of differentiated products and aggregate data. Estimating demand with the 'wrong'...

This study utilizes a brand-level dataset that captures a unique natural experiment, a 100% increase in the excise tax, to evaluate different pricing models in the U.S. beer industry. To assess the plausibility of different models, the increase in marginal cost resulting from the tax increase is...