So far, if one wished to analyse economic markets in all their complexity - i.e. by incorporating all information regarding firm and consumer behavior available from the fields of economics, marketing, consumer research, competitive strategy, and business analysis - she had to use formulas with...

Companies are increasingly adopting Artificial Intelligence (AI) today. Recently however debates started over the risk of human cognitive biases being replicated (and scaled) by AI. Research on biases in AI predicting consumer choice is incipient and focuses on observable biases. We provide a...

Companies now regularly use data to infer all kinds of information about people. These inferences have real consequences for peoples’ lives, yet data privacy law lacks a principled viewpoint to distinguish and discuss the different characteristics and risks of various types of predictions....

In an environment that features second-degree price discrimination, this paper fully characterizes the set of surplus divisions that can arise from all possible information consumers have about their valuation. By extending the techniques developed in a companion paper (Yang, 2019a), I show that...

Marketing expenditures in the form of pricing, product development, promotion and channel development are made to maximize return on investment. A challenge in evaluating the effectiveness of these expenditures is that decisions such as whether to lower prices or run promotions are made based on...

This paper details efforts at developing and estimating a Vector Autoregressive (VAR) econometric model representative of the financial statements of a firm. Although the model can be generalized to represent the financial statements of any firm, this work was carried out as a case study, where...