Zhu, Ziyue

朱梓月

(朱 /ʈʂu55/)(梓 /tsɯ21˦/)(月 /ɥœ51/)

also known as Jessie Ziyue Zhu

how to pronounce 朱 梓 月


Master of Statistics and Data Science
[Master Project Repository]
Katholieke Universiteit Leuven

Master of Economics
[Master Project Presentation]
Universitat Pompeu Fabra

BSc in Economics
Wuhan University

[Click for Email] ziyue[dot]zhu[at]maastrichtuniversity[dot]nl

Hello!

I am a PhD candidate in Labor Economics at the Research Centre for Education and the Labour Market (ROA), Maastricht University.

My research interests lie in:

  • Labor Economics, Education Economics, Experimental Economics, and Social Data Science
  • Dissertation Topic: Skill supply and demand in the labor market

Public Goods Contribution:

Research

Working Paper

  • Skill Matters: Curriculum updates and Labor Market Outcomes
    with Didier Fouarge, Barbara Belfi, and Melline Somers (Draft Available Soon)
    presented at: BIBB Research Colloquium, ELMI 2024, Studi-BUCH Text-as-data workshop (2nd, 2024), Skills2Capabilities Project Meetings (EU Horizon), LEER (9th, 2024)

  • Does Gen AI Information Shape Career Preferences? Experimental Evidence
    with Yang Tianyu, Barbara Belfi, and Carla Haelermans (Draft Available Soon)
    presented at: EALE (2024), ESPE (2024), LEER (9th, 2024)

  • Accelerated Digital Transformation and Skill Mismatch: Evidence from Europe
    with Yang Tianyu (Draft Available Soon)
    presented at: BIR workshop 2025, Cedefop ESJS2 workshop

Work in Progress

  • Adult children's education and patterns of family support in China
    with Zhenxing Chang, Rufei Guo, Lin Lin

  • AI acceptance in the workplace: the impact of social factors on employees’ behavior towards AI implementations
    with Ann-Yu Happ and Barbara Belfi

  • Unfolding Human Mobility Patterns in Response to Natural Disasters
    with Roy Meijer, Timur Naushirvanov, Yueyang Yi, and Yijie Zhou

Publication

  • Fitting mixed logit random regret minimization models using maximum simulated likelihood
    with Álvaro A. Gutiérrez-Vargas, Martina Vandebroek
    the Stata Journal 24 (2) [Published Version (Open Access)]

    [Click for Abstract] This article describes the mixrandregret command, which extends the randregret command introduced in Gutiérrez-Vargas et al. (2021, The Stata Journal 21: 626-658) incorporating random coefficients for Random Regret Minimization models. The newly developed command mixrandregret allows the inclusion of random coefficients in the regret function of the classical RRM model introduced in Chorus (2010, European Journal of Transport and Infrastructure Research 10: 181-196). The command allows the user to specify a combination of fixed and random coefficients. In addition, the user can specify normal and log-normal distributions for the random coefficients using the commands' options. The models are fitted using simulated maximum likelihood using numerical integration to approximate the choice probabilities.

Conference and Talk

2025: AI and Machine Learning workshop (Maastricht, NL); IWAEE (Catanzaro, IT); BIR Workshop (Bonn, DE); EU Horizon: Skills2Capabilities Meeting 2025 (Dortmund, Germany)

2024: CEDEFOP workshop (Thessaloniki, GR); NetMob Conference (Oral Presentation & Poster, Washington, D.C.)*; ELMI (Brussels, BE)*; EALE (Bergen, NO)*; ESPE (Rotterdam, NL)*; the second Studi-BUCH Text-as-data workshop (Essen, DE); EU Horizon: Skills2Capabilities Meeting (Venice, Italy); 9th LEER Conference on Education Economics (Leuven, Belgium) [Abstract]

2022: mixrandregret Stata Conference: London, the UK* [Link]

*Presented by coauthors

Teaching

Master Thesis Supervision

Guest Lecture: Minerva (R studio) Workshop

Tutor at Maastricht University:

  • EBC1046 Data-Driven Decision Theory (undergraduate)
  • EBC2138 Job Performance and the Employment Relationship (undergraduate)
  • EBC1018 Macroeconomics (undergraduate)

Undergraduate Teaching Assistant at Wuhan University (Mar - Jun 2018):

  • Data Statistics Analysis Method (17003351)
  • Data Statistics Analysis Practice (17003955)

Collected Resources

Education/Labour Economics Materials:

  • Skill database: O*Net (US) [Website]; ESCO (EU) [Website]
  • Vocational education and training in Europe [Website]
  • Course Program for Doctoral Students in Economics of Education (UZH) [Website]

Discrete Choice Modelling:

LaTex:

  • List of LaTeX mathematical symbols [Link]
  • LaTex Table Generator Online Tool [Link]
  • Simple Econ Paper Template, by Tal Gross [Link]
  • CUHK beamer template, by yuehaowang [Link]
  • KU Leuven Faculty of Science Thesis Template, by Arthur Depicker, Niels Souverijns, Jonas Van de Walle [Link]

My Collection of Lecture Notes [EconResources]

Advice for PhD Students in Economics [EconGradAdvice]

Acknowledgement

I would like to thank Dr. Joy and Dr. Flora for their expertise in successfully waking me up in the morning and keeping me awake at night to make my research projects possible.

Dr. Joy PhD, Meowstricht University
 Dr. Flora PhD, Research Center for Kattencation and Labour Meowcat

Thanks to Vasilios Mavroudis for the template! And thanks to Ali Siahkoohi for added CSS and switch theme function!