Economics Insights @ CBS

The author proposes a topic model tailored to the study of creative documents (e.g., academic papers, movie scripts), which extends Poisson factorization in two ways. First, the creativity literature emphasizes the importance of novelty in creative industries. Accordingly, this article introduces a set of residual topics that represent the portion of each document that is not explained by a combination of common topics. Second, creative documents are typically accompanied by summaries (e.g., abstracts, synopses).

This Better Marketing for a Better World special issue of the Journal of Marketing is motivated by the gap that remains between what is studied in our field and what is possible. We believe that we still know too little about marketing’s role in improving -- or harming -- our world.

Marketing is the functional area primarily responsible for driving the organic growth of a firm. In the age of digital marketing and big data, marketers are inundated with increasingly rich data from an ever-expanding array of sources. Such data may help marketers generate insights about customers and competitors. One fundamental question remains: How can marketers wrestle massive flows of existing and nascent data resources into coherent, effective growth strategies?

We examine how choice bracketing affects expected value maximization in experience-based choice. Experience-based choices are a series of individual choices made sequentially, for which feedback follows each choice, and are thus naturally bracketed narrowly. Previous research broadly bracketed multiple experience-based choices for decision makers by aggregating the choices (such that each choice pertained to multiple individual choices) or by reducing feedback frequency.

Many research papers in household finance utilize annual snapshots of household wealth from administrative data, such as tax registries, to calculate "imputed consumption." However, trading costs, unobserved intra-year trades, or unobserved security characteristics may cause measurement error. We document how such errors vary across groups of individuals by income, portfolio characteristics, and wealth and how they are correlated with individual income and balance sheets, asset prices, and the business cycle using transaction-level retail brokerage account data.