Economics · Academic job market
PhD Candidate in Economics at Utrecht University
I study working time, nominal wage dynamics, and incentive design, with a particular focus on China.
01 · Research
My work combines empirical labor economics with theoretical research on incentives and organizations.
Using China Household Finance Survey panel data from 2011 to 2019, this paper studies working days per week and working hours per day as distinct labor-input margins. The findings point to moderate complementarity and suggest that extended schedules are more consistent with employer-side scheduling needs.
This paper documents weak downward nominal wage rigidity and frequent nominal wage cuts among job stayers in China. Wage cuts are much less persistent for individuals than in the aggregate, while exposure varies across worker and job characteristics, most clearly by education.
A principal-agent model characterizes incentive design when agents' efforts affect multiple performance signals in different directions. Collective evaluation is optimal with positive spillovers, relative evaluation with negative spillovers, and the optimal effort profile depends on spillover intensity, signal noise, and revenue interactions.
02 · About
I am a PhD candidate at Utrecht University School of Economics. My research asks how labor-market outcomes emerge from the choices of workers, firms, and institutions.
My empirical work uses longitudinal household data to study how working schedules and nominal wages adjust in China. My theoretical work examines how organizations should design contracts when employees' efforts affect one another's performance signals.
PhD Candidate in Economics
Utrecht UniversityResearch Master in Multidisciplinary Economics
Utrecht UniversityBSc in Applied Statistics
Zhejiang Gongshang University03 · Teaching
I use structured tutorials and applied exercises to make quantitative and theoretical material accessible.
Teaching Assistant · Utrecht University
Tutorials on strategic-form, extensive-form, and repeated games, with structured feedback on assignments and examinations.
Teaching Assistant · Utrecht University
Hands-on tutorials in data visualization, data wrangling, and introductory machine-learning workflows in R.
04 · Contact