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📄CV  •  📄Research Statement

Welcome to my website!

I am an Assistant Professor of Economics at Texas Tech University. My research applies economic theory to study dynamic political economy questions. My recent projects are on inequality, power dynamics, misspecified learning, disinformation, strategic communication, and the design of robust voting mechanisms.

I received a Ph.D. in Economics from UC San Diego in June 2023, where Renee Bowen was my advisor. I also hold a Master's in Applied Mathematics from the University of Southern California. 

Collusion and Supergames 🔗 

with Michael Noel

Elgar Encyclopedia on the Economics of Competition and Regulation, 2024

Strategically Controlling Worldviews 📄PDF  (NEW!)

with Cuimin Ba, Danil Dmitriev, and Victoria Hang 

How can disinformation work on a sophisticated listener?

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Abstract: This paper studies persuasion when the sender can both control the information the receiver observes and the model through which it is interpreted. Even when the receiver begins with a correctly specified model and understands the sender's strategic incentives, the sender can manipulate him and often secure her preferred action with probability one. The key mechanism highlights strong complementarity between selective information and tailored narratives. Whenever this complementarity is operative, the sender strictly outperforms what she could achieve even with commitment power. We fully characterize the sender-optimal equilibrium for a broad class of information technologies. While softer information weakens credibility, it also expands the scope for manipulative interpretation, sometimes permitting full manipulation when harder information does not. The results offer a plausible explanation for the widespread success of disinformation.

The Economics of Power Consolidation 📄PDF    (Submitted)

Why are nations growing more unequal in ways that no longer feel temporary? 

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Abstract: Power and resources have been concentrating within major nations around the world, echoing a century-old prediction in political economy that remains a longstanding empirical puzzle with renewed urgency. I develop an economic model of how a society's distribution of power and resources evolves over time. Multiple lineages of players compete by accumulating power, which is modeled as an asset that increases one's probability of winning conflicts over resources. This model provides sharp equilibrium predictions for how a society’s distribution of power evolves and whether it approaches equality, oligarchy, or dictatorship in the long run. My main result shows that power and resources generically fall into the hands of a few when political competition is left unchecked in large societies, suggesting that today’s trends are no anomaly and will not self-correct.

Troll-Proof Mechanism Design 📄PDF    (R&R at Social Choice and Welfare)

with Danil Dmitriev

How does one keep a voting mechanism from being hijacked?

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Online voting mechanisms (e.g. polls) are a potentially powerful, cost-effective means of collecting large amounts of data about preferences, but such large-scale data collection has proven to be vulnerable to sabotage (e.g. by internet trolls) if proper precautions are not taken. To this end, we consider the problem of designing a voting mechanism that is robust to derailment by external groups. We show that plurality voting and other standard mechanisms are often not robust to sabotage; in fact it is sometimes preferable to not run any poll at all. The optimal voting mechanism is found to make saboteurs indifferent between each alternative they can vote for, since this undermines their ability to adversely affect the designer's predictions of other voters' preferences.    

Misspecified Fear or Model Choice? Evidence from Financial Markets 📄PDF (Submitted)

with Ayush Jha and Zari Rachev

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We develop and estimate a dynamic model of financial-market learning in which traders can endogenously switch between correct and misspecified models. Unlike frameworks that impose behavioral biases exogenously, our traders rationally choose to deviate from the correct model when short-term gains outweigh informational accuracy - a mechanism we term greed-driven model choice. This switching behavior generates persistent wedges between subjective and objective beliefs, producing volatility smiles, return predictability, and pricing-kernel distortions as equilibrium outcomes. Using option-price data and a structurally estimated binomial tree model with path dependence and informed traders, we identify belief-switching thresholds that quantify how greed and fear jointly shape learning and risk premia. We document economically significant welfare and performance costs of misspecification, expressed in certainty-equivalent losses and Sharpe-ratio reductions. Our results reveal how heterogeneous information processing and learning frictions jointly shape equilibrium pricing kernels, offering new empirical evidence on misspecified learning in dynamic models and the behavioral foundations of rational asset pricing.

Learning Nothing From Everything 📄PDF  (R&R at Theory & Decision)

How does uncertain relevance affect evidence disclosure?

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I study how a sender can use verifiable binary evidence to influence a receiver about a binary state when the relevance of information is ex ante uncertain and asymmetrically known by the sender. The sender has access to two pieces of evidence: one they know to be perfectly informative of the state and one that is completely uninformative. Although full disclosure of evidence is possible in equilibrium, the receiver generically cannot fully unravel which piece of evidence is relevant. Consequently, the Receiver may gain little to no information about the state even when all evidence is disclosed.

Communication Inflation

with Christoph Schlom


Strategic Questioning and Answering

with Victoria Hang


Trade Policy and Power Politics

with Philip Economedes and Carlos Góes


The Strategic Interaction Between NGOs and Governments

with Riccardo Di Cato and Vedant Vohra


The Intertwined Dynamics of Power and Wealth 


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