2026–2027 Job Market Candidate

Zhaomin Li

Ph.D. Candidate in Political Science · University of Washington

I study authoritarian politics and historical political economy using formal theory, causal inference, and computational text analysis.

Portrait of Zhaomin Li at the University of Washington
Comparative PoliticsHistorical Political EconomyFormal TheoryCausal InferenceComputational Text Analysis

Research

  1. Job Market Paper

    Standardizing Culture before Mass Schooling: The Examination State and Regulated Verse in Tang China

    • Historical Political Economy
    • Comparative Politics
    • Computational Text Analysis
  2. Publication

    Meritocracy and Autocratic Power-Sharing: A Historical Perspective

    With Clair Yang and Yasheng Huang · The Journal of Politics · 2026

    • Historical Political Economy
    • Comparative Politics
    • Formal Theory
    Abstract

    This paper proposes meritocracy as a power-sharing institution in authoritarian regimes, particularly in weakly institutionalized environments. Contrary to what Enlightenment scholars believed, our evidence shows that meritocratic institutions were not uncommon in historical states and were often associated with absolute rulers. Using a formal model, we demonstrate that meritocracy benefits rulers by enabling them to co-opt high-ability agents, and it can remain credible even without third-party enforcement mechanisms. Unlike other power-sharing institutions, such as parliaments, which function more effectively under weaker rulers, meritocracy is more likely to emerge endogenously under strong rulers and remains self-reinforcing over time. We test these theoretical predictions using historical case studies and empirical analysis of a panel of 291 historical polities. The results confirm a positive association between meritocracy and autocracy. We believe that meritocracy can fill the gap in the literature to explain power-sharing in many historical absolute regimes.

  3. Publication

    Informed Inattention: How Political Connections Undermine Judicial Responsiveness in China

    With Zhaowen Guo and Tao Lin · Chinese Political Science Review · 2025

    • Comparative Politics
    • Computational Text Analysis
    • Causal Inference
    Abstract

    The integration of information and communication technology (ICT) has significantly transformed the interaction between governments and citizens. While past studies have focused on how citizen appeals affect responses from public servants, less attention has been paid to the role of officials' attributes in shaping government responsiveness. This paper explores how political connections influence responsiveness within the Chinese court system. Using a formalized principal-agent model, we argue that connected local judges, who have better information about central authority's task priorities, tend to allocate less effort to routine tasks of lower importance. To test this hypothesis, we constructed a novel database containing biographical information of provincial chief judges in China and their online interactions with citizens from 2014 to 2020. Our empirical analysis shows that politically connected judges are less responsive in routine tasks of responding to citizens. This study offers new insights into how internal political dynamics impact the responsiveness of government institutions.

  4. Work in progress

    The Ruler’s Flattery Game: Screening, Conformity, and Informational Collapse

    With Tongtian Xiao

    • Comparative Politics
    • Formal Theory
  5. Work in progress

    Extractive vs. Reciprocal States: Evidence from Bronze-Iron Transition in Antiquity

    With Clair Yang

    • Historical Political Economy
    • Causal Inference
  6. Work in progress

    A Theory of Delegation and Informal Governance

    With Jidong Chen

    • Comparative Politics
    • Formal Theory

Teaching

Graduate · TA & lab instructor

Advanced Political Research Design and Analysis

Winter 2026 Winter 2025

Course focus

Second course in the department’s required PhD methodology sequence. Led weekly R labs accompanying training in probability, statistical inference, OLS, interaction effects, model diagnostics, and fixed-effects panel models, with an emphasis on reproducible research workflows.

Graduate · TA & lab instructor

Advanced Quantitative Political Methodology

Spring 2026 Spring 2025

Course focus

Third course in the department’s required PhD methodology sequence. Led weekly labs on causal inference, covering difference-in-differences, synthetic controls, matching, instrumental variables, and regression discontinuity designs, with an emphasis on recent methodological developments.

Undergraduate · TA

Introduction to Political Economy

Fall 2024

Course focus

Led undergraduate discussion sections that applied rational choice theory to markets, government, property rights, and collective action. Throughout the quarter, students completed a “design a society” exercise to connect political economy theory with real-world choices.

Contact

zmli7@uw.edu

UW Political ScienceGoogle Scholar