On Monday, March 31st, 2025, the Economics Department held this semester’s Graduate Assistant (GA) Training Workshop, led by Professor Tianxu Chen, with Professor Ling Huang and Professor Kai Zhao also joining the discussion. The session provided a valuable opportunity for GAs to ask questions and receive guidance on a range of teaching-related topics, including student engagement, effective instruction strategies, and classroom management.
This semester’s workshop was structured as an open office hour, allowing all GAs—whether new or experienced—to bring up challenges they have encountered in their teaching roles. Professors Chen, Huang, and Zhao shared their insights and advice, helping students navigate common concerns such as fostering student participation, balancing grading responsibilities, and communicating effectively with undergraduate students.
This GA training workshop continues to play a crucial role in strengthening the quality of Economics education at UConn, while also reinforcing the Department’s commitment to supporting GAs in their teaching and career development.
Huari’s research interests are in asset pricing, financial econometrics, macro finance, and machine learning. At Sewanee, she teaches the courses, Investment Finance, Derivatives and Fixed Income Securities, Financial Modeling, and Financial Engineering.
Current UConn PhD students, do reach out to Huari and Tao for advice on building a successful academic career at a liberal arts college.
Anastassiya Karaban presented her paper, “The role of gender comparisons in determining reference wage and labor supply.” She finds that when people make different wages, we choose to compare our wage to others of the same gender. Women work harder when making more than other women (but not when making more than other men). Men work less hard if they are making less than another man (but not if they are making less than a woman).
Victor Volkman presented his paper, “Race and experimental design: How respondents may read context into a neutrally framed scenario.” Traditionally, economics experiments have participants engage in “context free” simulated economic transactions. Victor examines whether such absence of context can affect individuals differently based on their racial backgrounds. He finds evidence that different racial groups interpret context-free scenarios differently, and thus their actions are not directly comparable.