I am a PhD candidate at CERGE-EI in Prague. I will join Economic and Social Research Institute, Dublin, as a postdoctoral research fellow later this year .
I am an applied economic theorist specializing in information economics.
Research interests: information design, costly information acquisition, dynamic incentive problems.
Jan Zápal (CERGE-EI, Chair),
Ole Jann (CERGE-EI),
Inés Moreno de Barreda (Oxford),
Filip Matějka (CERGE-EI)
Job market paper
Setting Interim Deadlines to Persuade (Slides)
A principal funds a multistage project and retains the right to cut the funding if it stagnates at some point. An agent wants to convince the principal to fund the project as long as possible, and can design the flow of information about the progress of the project in order to persuade the principal. If the project is sufficiently promising ex ante, then the agent commits to providing only the good news that the project is accomplished. If the project is not promising enough ex ante, the agent persuades the principal to start the funding by committing to provide not only good news but also the bad news that a project milestone has not been reached by an interim deadline. I demonstrate that the outlined structure of optimal information disclosure holds irrespective of the agent’s profit share, benefit from the flow of funding, and the common discount rate.
NEW! Optimally Biased Expertise (with Andrei Matveenko, Pavel Ilinov, and Egor Starkov)
This paper shows that a biased principal can strictly benefit from delegating to a misaligned agent. We consider a “delegated expertise” problem in which the agent has a learning advantage relative to the principal. We show that it is optimal for a principal who is ex ante biased towards one action to select an agent who is less biased. Such an agent is more uncertain ex ante about what the best course of action is and would acquire more information. The benefit to the principal from a more informed decision always outweighs the cost of a small misalignment.
Form of Preference Misalignment Linked to State-Pooling Structure in Bayesian Persuasion (with Rastislav Rehak) (Slides)
We study a Bayesian persuasion model in which the state space is finite, the sender and the receiver have state-dependent quadratic loss functions, and their disagreement regarding the preferred action is of arbitrary form. This framework enables us to focus on the understudied sender's trade-off between the informativeness of the signal and the concealment of the state-dependent disagreement about the preferred action. In particular, we study which states are pooled together in the supports of posteriors of the optimal signal. We provide an illustrative graph procedure that takes the form of preference misalignment and outputs potential representations of the state-pooling structure. Our model provides insights into situations in which the sender and the receiver care about two different but connected issues, for example, the interaction of a political advisor who cares about the state of the economy with a politician who cares about the political situation.
Persuading a Receiver With a Simplistic Worldview
In a persuasion model, we show that the receiver's ignorance regarding the correlation between the dimensions of the state of the world can benefit her. The receiver chooses a binary action and the preferences of the sender and receiver regarding that choice depend on different dimensions of the two-dimensional state of the world. The receiver has a “simplistic worldview”: her prior belief is such that she perceives the two dimensions of the state of the world as independent when they are correlated. We characterize the condition on state of the world distribution that pins down if the posterior of the receiver with a simplistic worldview is either less or more optimistic than the true one. Receiver's simplistic worldview either restricts or expands what sender can do and induces a welfare redistribution either from sender to receiver or from receiver to sender, respectively.