Econometric investigation of random coefficient logit models of demand and its extension to multi-period demand estimation

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Estimating demand for differentiated goods is essential in evaluating brand equity and pricing, two of the most important areas in marketing. It is often the case that purchasing history of a group of households is not available, but instead only the market share and characteristics of products under study are available. Through the research funded by this grant, we proposed method to estimate models of great importance, random-coefficients discrete choice models of demand and supply via frequentist and Bayesian perspectives and made preparations to expand the model to choice problems over multiple periods.