This work develops a diffusion model which incorporates word-of-mouth and advertising effects for two firms introducing competing brands of a new durable product. The competition between the two firms is formulated as a two-player, nonzero sum Markovian game. The firms are assumed to behave...

We start by assuming that a major benefit of many new durable products such as dishwashers and microwave ovens is time savings. Others, such as VCRs, also enhance the value of our leisure time. Using a household production framework we demonstrate that a utility maximizing individual will have a...

The dynamic evolvement of market share of a brand in a frequently purchased product category can be driven by two effects, purchase reinforcement, and advertising carryover. The first depends on the actual experience with the brand while the second on the retention of its producer's messages. We...

The sales-marketing mix relationships for brands of a product class are often modelled as a multiple equation system. Whenever sales are expressed as shares, such systems are sum-constrained and therefore singular. Singular systems can be calibrated by deleting one equation from the model and...

This paper examines the effects of advertising on the sales growth of new, infrequently purchased products. It is assumed that producer originated advertising serves to inform innovators of the existence and value of the new product while word-of-mouth communication by previous adopters affects...

A company's name is commonly considered to be an integral part of its image, just like the quality of its products or the quality of its technical services. Changing a company's name is a major policy decision contemplated by many firms and actually implemented by some each year. This paper...

This paper proposes a post-model selection inference procedure, called targeted undersmoothing, designed to construct uniformly valid confidence sets for functionals of sparse high-dimensional models, including dense functionals that may depend on many or all elements of the high-dimensional...

We develop methodology for estimation and inference using machine learning to enrich economic models. Our framework takes a standard economic model and recasts the parameters as fully flexible nonparametric functions, to capture the rich heterogeneity based on potentially high dimensional or...