I am Economics Ph.D. Candidate from Northwestern University. My research focuses on healthcare economics through the lens of industrial organizations with a particular interest in information asymmetries.
I will be on the 2024-2025 Job Market.
I will be at the 2024 European Winter Meeting.
PhD in Economics, 2025 (Expected)
Northwestern University
MS in Economics, 2020
Northwestern University
BA in Economics, 2019
Lomonosov Moscow state University
This paper integrates a randomized controlled trial and structural analysis to investigate how misconceptions about drug efficacy distort consumer decisions in the over-the-counter market and how clearer information can improve consumer welfare. A key challenge is that beliefs about efficacy are unobservable, which complicates the assessment of consumers’ initial perceptions and responses to new information. To address this, I gathered pairwise product comparisons from a control group and three treatment arms to develop product-level measures of efficacy beliefs. The most effective treatment — emphasizing equivalent efficacy —increases substitution elasticities by 22% on average, saves the average consumer $1.09, and generates a welfare gain of $1.20 per consumer. It results in $6.5 million annual savings across the 50 largest markets. However, this approach also leads to second-degree price discrimination based on consumers’ preferences for symptom labels, highlighting the need for social planner to make informed policy decisions.
No one can remain neutral regarding health information about their conditions. While some focus on the worst-case scenario, others seek justifications for not visiting the doctor. The complexity and diversity of current online health information (OHI) cater to both groups. This paper explains this behavior through the modification of the information acquisition model and further examines its relationship with healthcare utilization. It introduces a rational inattention model with a modified cost function that accounts for individual heterogeneity in perceiving the absence of illness. The model demonstrates that information acquisition costs are influenced by individuals’ concerns about overlooking signs of illness, causing information sources to act as thought accelerators rather than purely educational material. Empirical analysis supports the theoretical framework. First, the data shows that OHI usage generally leads to higher healthcare utilization. Second, OHI users who are concerned about missing illness signs use healthcare services more than those less worried. Third, the statistically insignificant difference in how OHI affects healthcare usage between groups that might benefit from increased concern and those that do not suggests that patients’ overconfidence, rather than knowledgeable worry, drives higher healthcare use. These findings raise critical policy questions about managing OHI-induced overconfidence and offer recommendations for enhancing physician–patient interactions in the context of OHI.
This study investigates market failures resulting from physician-hospital integration, specifically the suboptimal use of costly new technologies due to financial conflicts of interest. According to classic theory, vertically integrated systems ( hospital + physician practices) can gain competitive advantages through management or technology, fostering innovation. However, common management policies may create conflicts of interest, reducing the use of innovative, expensive procedures. We focus on Medicare reimbursement system, hypothesizing that unequal policies lead to hospitals becoming dominant decision-makers due to their negotiating power. Using the case of Transcatheter Aortic Valve Replacement (TAVR), where Medicare initially reimbursed hospitals later than physicians, we test this hypothesis both theoretically and empirically.