Heterogeneity in choice models is typically assumed to have a normal distribution in both Bayesian and classical setups. In this paper, we propose a semiparametric Bayesian framework for the analysis of random coefficients discrete choice models that can be applied to both individual as well as...

In some product categories, generic advertising is used to increase market demand of the category and at the same time brand advertising is used to entice consumers to choose the advertised brand over competing brands. This paper empirically investigates the optimal levels of brand and generic...

Heterogeneity in choice models is typically assumed to have a normal distribution in both Bayesian and classical setups. In this paper, we propose a semiparametric Bayesian framework for the analysis of random coefficients discrete choice models that can be applied to both individual as well as...

Parametric Stochastic Frontier Models are widely used in productivity analysis and are commonly estimated using FRONTIER, STATA or LIMDEP packages, which only provide point estimates for firm-specific technical efficiency. Confidence intervals for technical efficiencies with superior coverage...

In some product categories, generic advertising is used to increase market demand of the category and at the same time brand advertising is used to entice consumers to choose the advertised brand over competing brands. This paper empirically investigates the optimal levels of brand and generic...

Parametric Stochastic Frontier Models are widely used in productivity analysis and are commonly estimated using FRONTIER, STATA or LIMDEP packages, which only provide point estimates for firm-specific technical efficiency. Confidence intervals for technical efficiencies with superior coverage...

In some product categories, generic advertising is used to increase market demand of the category and at the same time brand advertising is used to entice consumers to choose the advertised brand over competing brands. This paper empirically investigates the optimal levels of brand and generic...

Discrete longitudinal data are common in various disciplines and are often used to assess the change over time of one or several outcomes, and/or what covariates might be associated with the outcomes. Existing parametric and nonparametric/semiparametric models typically attribute the...

This dissertation consists of three essays on topics in empirical industrial organization. The first essay proposes and estimates a fully dynamic model of generic and brand advertising in a differentiated product oligopoly. It first specifies a nested logit demand system incorporating brand and...

We consider a combination of heavily trimmed sums and sample quantiles which arises when examining properties of clustering criteria and prove limit theorems. The object of interest, which we call the Empirical Cross-over Function, is an L-statistic whose weights do not comply with the requisite...