Zhide Wang

I received a Ph.D. at the Department of Industrial and Systems Engineering, Texas A&M University in August 2024. I am actively looking for tenure track faculty positions in the areas of marketing, operations management, and industrial engineering.

Research Interests

Structural Estimation; Partially Observable Markov Decision Processes; Partially Observable Stochastic Games; Retail Investment; Learning Models; Cognitive Fatigue.

Job Market Paper

Wang, Z., Chang, Y., Yang, N., & Garcia, A. (2024). Retail Investment under Aggregate Fluctuations. Available at SSRN. (Link)

Publications

• Wang, Z., Chang, Y., Schmeichel, B. J., & Garcia, A. A. (2022). The Effects of Mental Fatigue on Effort Allocation: Modeling and Estimation. Psychological Review, 129(6), 1457–1485. (Link)

• Chang, Y., Garcia, A., Wang, Z., & Sun, L. (2022). Structural Estimation of Partially Observable Markov Decision Processes. IEEE Transactions on Automatic Control. (Link)

Work in Progress

• Zhide Wang, Nathan Yang. Counterfactual (Non)Identification when Individuals Face Uncertainty. Available at SSRN. (Link)
• Zhide Wang, Nathan Yang. Identification of Structural Learning Models. Available at SSRN. (Link)
• Zhide Wang, Nathan Yang, Yiran Liu. A Sensitivity Analysis of Retail Sectors to Aggregate Fluctuations.
• Lekhapriya Dheeraj Kashyap, Zhide Wang, Yanling Chang, Alfredo Garcia. Attention Allocation is Adapted to Context: Evidence from a Naturalistic Discrimination Task.