Working Papers

The marginal cost of electricity fluctuates hour-by-hour, yet retail customers typically face flat prices. Using data from all seven US wholesale markets and a new method to evaluate alternative rates set in advance that accounts for equilibrium price effects, we estimate efficiency gains from time-varying price schedules that better align price with cost. We have ...Read More

We show that financial reporting spurs consumer behavior. Using granular GPS data, we show that foot-traffic to firms’ commerce locations significantly increases in the days following their earnings announcements. Read More

Healthcare organizations have increasingly adopted video visits as an alternative care channel that offers higher convenience and holds promise for improving patients’ access to care. Despite the growing use, the impact of a new digital channel on care demand within existing physical channels has not been thoroughly investigated, especially in the primary care context of ...Read More

Mack Institute Research Assistant Lennart Meincke and Wharton Associate Professor of Management Andrew Carton have released a new working paper in our series of working papers on ChatGPT spearheaded by Mack Faculty Director Christian Terwiesch. The new paper, entitled “Beyond Multiple Choice: The Role of Large Language Models in Educational Simulations,” compares feedback on student ...Read More

Mack Institute Research Assistant Lennart Meincke, Wharton Professor Ethan Mollick and Mack Institute Co-Director and Wharton Professor Christian Terwiesch have published the next in Terwiesch’s series of working papers on ChatGPT. The new paper evaluates how LLMs can be used for idea generation and explores methods to increase the novelty, quality and dispersion of AI-generated ...Read More

I study investors’ trade-off between ETFs and open-ended mutual funds in the presence of idiosyncratic liquidity risk and aggregate uncertainty. Based on a portfolio choice model, I show that ETFs and mutual funds provide liquidity at different maturities. Mutual funds (ETFs) are preferred by investors facing high (low) idiosyncratic liquidity risk and shorter (longer) investment ...Read More

In this paper, we develop and test a theoretical framework that considers how established firms forming partnerships with startups may be subject to spatial and temporal myopia and how these tendencies are moderated by the established firms’ histories of experiencing essential failures and successes in solving R&D problems. Read More

How does the stock market react to competitive actions by firms and their rivals? In this study we empirically explore capability-seeking investments by firms from different strategic groups within an industry and examine their impact on rival firms in the competitive context of global software services. Read More

This project adapts online learning techniques to unstructured data, focusing on neural networks. We posit a non-parametric multi-armed bandit algorithm with context that uses a neural network for its underlying function approximation. We theoretically analyze and prove guarantees on the regret under this algorithm Read More

This paper develops a theoretical model to study the economic incentives for a social media platform to moderate user-generated content. We show that a self-interested platform can use content moderation as an effective marketing tool to expand its installed user base, to increase the utility of its users, and to achieve its positioning as a ...Read More