Yunus C. Aybas
Assistant Professor of Economics
Department of Economics, Texas A&M University.
My research interests are in economic theory and political economy.
I focus on strategic communication, social learning and networks.
Please feel free to contact me via aybas@tamu.edu.
My CV is available here.
Strategic Communication
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Abstract. Decision making in practice is often difficult, with many actions to choose from and much that is unknown. Experts play a particularly important role in such complex environments. We study the strategic provision of expert advice in a variation of the classic sender-receiver game in which the environment is complex, so knowledge of the sender’s preferred action may not reveal the receiver’s preferred action. We identify an equilibrium in which the action is exactly what the sender would choose if she held full decision making authority. This contrasts with the inefficient equilibria of the canonical model of Crawford and Sobel (1982) in which the decision making environment is simpler. Thus, strategic communication is not only more favorable to the expert when the environment is complex, it is also more effective. We explore the implications of this result on the size and structure of the choice set, the decision making mechanism, and how these vary in the complexity of the decision making problem.
Paper (Revised on June 2026)
Slides (Guest Lecture at UC Davis)
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Abstract. In many expert–decision maker settings, information is richer than the language used to convey it. We study how limits on communication capacity constrain persuasion, develop a geometric representation of the expert’s payoff, and establish a tight bound. We then analyze games where the receiver chooses among risky actions and a costless default—for example, a buyer deciding whether to purchase among several products offered by a seller or not to buy at all. Our results characterize the optimal information structure, demonstrate diminishing returns to additional messages, and provide comparative statics on prior concentration and the difficulty of persuasion.
Publisher (Open Access)
Working Paper (Revised on June 2026)
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Abstract. This paper studies how expert advice and experiential learning interact in decision making under uncertainty. We develop a two-period model in which a decision maker can both consult an informed expert and learn from the outcomes of his own actions. The two learning channels are strategically linked: the expert’s advice shapes how the decision maker experiments, and anticipating this, the expert distorts her message to influence experimentation. Our main result is that the ability to learn from experience undermines the quality of expert advice in equilibrium, so much so that both players can be worse off. Driving this result is a novel channel of deception. By misreporting her information, the expert can cause the decision maker to learn the wrong lesson from his experience. If advice is too precise, the expert can benefit by turning the decision maker's own experience against him, undermining equilibrium.
Slides (SAET)
draft coming soon
Political Economy
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Abstract. District-based elections must reconcile two objectives: representing each district’s electorate and matching the statewide delegation to overall political support. We study the design of seat allocation rules when these objectives conflict. The optimal rule is characterized by an endogenous cutoff that compares the district-level and statewide representational effects of awarding a party an additional seat. In a linear benchmark, the optimal rules form a family ranging from first-past-the-post to proportional representation as the weight on statewide representation increases. Along this path, it becomes increasingly difficult for an already overrepresented party to gain further seats through gerrymandering. The characterization yields a measure of first-past-the-post robustness to statewide representation concerns and provides a unified framework for comparing it with established electoral diagnostics. Applying these measures to U.S. House elections from 2002 to 2024, we find that maps drawn by single-party legislatures generally perform worse across our measures than those produced by other institutions, and Republican-legislature maps fare worse on average than Democratic-legislature maps. The efficiency gap, a widely used wasted-vote measure of partisan gerrymandering, is more strongly associated with struck or litigated maps than the other measures, yet it considerably amplifies the Republican--Democratic asymmetry.
Paper (Updated July 2026)
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Social Learning and Networks
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Abstract. We introduce a model in which homophily in social networks affects both the quality and diversity of the information to which people have access. Homophily provides higher-quality information about the actions that a group takes, since observing the payoffs of another person is more informative the more similar that person is to the decision maker. However, homophily can lead to observations about fewer actions if people similar to the decision maker choose a limited set of actions. This can lead to inefficiencies as well as inequalities across groups. We characterize conditions under which homophily hurts rather than helps social learning. Homophily lowers efficiency and increases inequality in sparse networks, but enhances efficiency and decreases inequality in dense enough networks. We also show that optimal (learning-maximizing) networks exhibit assortativity in payoff-determining characteristics, which results in incidental homophily on other innate characteristics, providing an explanation for some empirical patterns.
Paper (Revised on June 2026)
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Abstract. Emotional well-being has a known relationship with a person's direct social ties, including friendships; but do ambient social and emotional features of the local community also play a role? This work takes advantage of university students' assignment to different local networks-or "social microclimates"-to probe this question. Using Least Absolute Shrinkage and Selection Operator (LASSO) regression, we quantify the collective impact of individual, social network, and microclimate factors on the emotional well-being of a cohort of first-year college students. Results indicate that well-being tracks individual factors but also myriad social and microclimate factors, reflecting one's peers and social surroundings. Students who belonged to emotionally stable and tight-knit microclimates (i.e., had emotionally stable friends or resided in densely connected residence halls) reported lower levels of psychological distress and higher levels of life satisfaction, even when controlling for factors such as personality and social network size. Although rarely discussed or acknowledged in the policies that create them, social microclimates are consequential to well-being, especially during life transitions. The effects of microclimate factors are small relative to some individual factors; however, they explain unique variance in well-being that is not directly captured by emotional stability or other individual factors. These findings are novel, but preliminary, and should be replicated in new samples and contexts. (PsycInfo Database Record (c) 2024 APA, all rights reserved).
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Abstract. We study a model of trade with repeated interaction between a single buyer and many sellers. The buyer is initially uninformed about her valuation for the various goods and sellers are uninformed about the buyer’s demand. We model this interaction as a multi-armed bandit problem with strategic arms and seek to understand the welfare consequences of various models of buyer behavior. Similarly to Braverman et al. (2019), we show that a buyer using a no-regret (contextual) learning algorithm may be exploited by colluding sellers in an approximate Nash equilibrium for the sellers. We then show that a buyer with commitment power may extract almost all the gains from trade from the sellers in an approximate dominant strategy equilibrium for the sellers.
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Discussion
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Slides (Texas Monetary Conference)