Roujing Wu 吴柔婧

PhD Candidate in Economics

University of Bologna · Collegio Superiore

Welcome! I am a PhD candidate in the Department of Economics and the International PhD College, Collegio Superiore, at the University of Bologna.

I work in applied microeconomics.

Primary fields
Economics of Education · Behavioural Economics · AI & Economics
Secondary fields
Experimental · Environmental · Labour Economics
Methods & data
LLMs · Unstructured data · Administrative data

I am on the 2026–2027 economics job market.

Roujing Wu, photographed beside a portico in Bologna

LATEST

News & Upcoming

27 Nov 2026

Presenting at the BeNA Winter Workshop, Freie Universität Berlin.

10–11 Dec 2026

Presenting at the Inaugural IZA@LISER Conference in Labour Economics, Luxembourg.

14–18 Dec 2026

Presenting at the Guangzhou Workshop for Early-Career Applied Economist, Jinan University.

01 / RESEARCH

Research

Education, behaviour, AI,
climate change and economic opportunity.

JOB MARKET PAPER · 2026–2027

Blindsided at the Start: Small Early Shocks and High-Stakes Selection

with Yi Chen, Sikun Dou and Hongbin Li

A tiny ink drop at the first exam question sends ripples toward a university admission threshold, symbolizing how small early shocks may propagate through high-stakes selection.

How do small, unexpected early shocks propagate through high-stakes selection? Using administrative records for 13.6 million Gaokao candidates and LLM-based measures of question difficulty, we study the consequences of an adverse start. Estimated score losses exceed the first question’s own scoring weight and differ across school backgrounds, showing how limited formal stakes can translate into larger and unequal performance losses.

Estimated 13-point mathematics score loss for an extreme opening question above the 90th percentile versus an easy opening below the 50th percentile, with a 95 percent confidence interval from 6.7 to 19.3 points and three asterisks indicating p below 0.01. A dashed line marks the first question’s maximum five points.
An unexpectedly hard opening is associated with an estimated 13-point loss in total mathematics scores, relative to an easy opening. The first question itself is worth at most 5 points, suggesting effects beyond its direct scoring contribution.Extreme: above the 90th percentile of opening difficulty; easy: below the 50th. Error bars show the 95% confidence interval; *** p < 0.01 for the extreme-versus-easy comparison. Source: November 2026 job market talk and paper, Table 14.
Abstract

A central question in institutional design is how formal rules translate into realized economic outcomes. We examine this question in high-stakes selection, distinguishing the first question’s formal scoring contribution from its wider influence on performance.

Combining administrative records for 13.6 million candidates in China’s National College Entrance Examination with GPT-4o-based difficulty measures for 484 mathematics questions from 22 examination sets, we exploit variation in opening difficulty across administratively assigned papers, conditional on measured aggregate difficulty, province and year fixed effects, and individual characteristics.

A one-standard-deviation increase in opening difficulty is associated with a 6.4-point decline in mathematics scores. This point estimate exceeds the item’s maximum five-point value, suggesting effects beyond its direct scoring contribution. Students from high schools with stronger first-tier university admission records incur smaller losses.

When applications are submitted before the examination, this differential extends to relative rank, with suggestive evidence that the STEM university placement gap among admitted students widens by 1.4 percentage points in their favor. Patterns across examination contexts and task content are consistent with expectation-based salience against a familiar easy-start convention, potentially operating through cognitive interference.

The findings suggest that individual responses can give a component with limited formal scoring stakes wider influence over high-stakes selection.

Selected presentations

Labour Reading Group, University of Cambridge · Empirical Brown Bag and Micro Brown Bag, LMU Munich

Scheduled: Inaugural IZA@LISER Conference in Labour Economics · Guangzhou Workshop for Early-Career Applied Economist, Jinan University · BeNA Labor Economics Workshop, Freie Universität Berlin

WORK IN PROGRESS

Playing it Safe: How Conservatism Shapes the Gender Gap in High-Stakes Decisions

with Yi Chen, Sikun Dou and Hongbin Li

Two applicants consider a clear path to a nearby college and a less certain route to a more selective university, illustrating the tradeoff between admission security and opportunity.

We study gender differences in university choices in China’s Gaokao, examining the costs and benefits of conservative choices and how reduced uncertainty changes these gaps.

Abstract

A large body of laboratory experiments has confirmed that women are more risk-averse than men. However, less is known about the real-world costs and benefits of being cautious. We explore this question by examining gender differences in school choices during the Chinese College Entrance Examination (Gaokao) in the early 2000s. During our study period, China employed a sequential admission mechanism, making the choice of a first-batch first-preference school particularly risky.

If a student narrowly missed the cutoff for that school, they faced a high likelihood of being placed in a significantly less desirable school. We find consistent evidence that female students were more likely to avoid this risk by selecting a more conservative option as their first-preference choice. This strategy involves both costs and benefits. On the benefit side, given their test scores, female students were less likely to fail their target schools compared to male students.

On the cost side, however, they were more often admitted to lower-quality schools and less desirable majors. These gender differences remain robust across a range of checks, including controls for preferences toward specific majors and types of schools. To further validate that these patterns are driven by differences in risk aversion, we exploit policy shifts in the timing of preference submissions—from before to after exam results were known—which reduced uncertainty. We find that reduced uncertainty narrows the gender gap across various outcomes.

Presented at: 8th China Center for Economic Research Summer Institute (2024); EEA–ESEM, Rotterdam (2024); International SITES–GLO Conference (2024); AIEL–DSE Workshop (2025, poster session).

Seeing Climate Change: Emotional Visuals, Attention, and Pro-environmental Behaviour

with Alice Guerra, Jiajia Li, Alessandro Tavoni and Jian Zhang

A viewer considers positive and negative emotional climate images while holding a coin near an environmental donation box.

Presented at the Micro Summer Retreat, LMU Munich.

02 / EDUCATION

Education & visits.

Full CV

2022–2027 (EXPECTED)

PhD in Economics · University of Bologna

International PhD College, Collegio Superiore

PhD supervisors: Vincenzo Scrutinio and Alessandro Tavoni

Collegio Superiore mentor: Maria Luisa Dindo

JAN–APR 2026

University of Cambridge

Academic visit · Host: Benjamin Arold

APR–JUL 2026

LMU Munich

Academic visit · Host: Davide Domenico Pace

2018–2021

MSc in Economics · University of Bonn

Supervisor: Sebastian Kube

Master’s thesis: The impact of artificial intelligence on gender equality in the labour market in China

03 / REFERENCES

References

04 / TEACHING

Teaching

University of Bologna

Nov–Dec 2025

Teaching Assistant · Elisabetta De Cao

  • Fundamental of EconometricsMaster Programme in Health Economics and Management
  • EconometricsMaster Programmes in Health Economics and Management / Economics and Public Policy; PhD Programme in Management

Johns Hopkins University, SAIS Europe

Sep–Dec 2024

Teaching Assistant · Erika Meucci

  • Statistics of Data AnalysisM.A. Programme

05 / BEYOND ECONOMICS

Public dissemination

I enjoy finding different ways to share research, through conversation, storytelling and images.

Away from research, I enjoy piano and guqin, dancing, photography, poetry, art exhibitions and table tennis.

Terracotta rooftops and towers of Bologna in winter light beneath a lavender-blue sky, photographed by Roujing Wu
Bologna, in winter light.A photograph by Roujing Wu · January 2026

GET IN TOUCH

Let’s connect.

roujing.wu2@unibo.it

RoujingWu@outlook.com

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