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 Github]
KU Leuven

Master of Economics
[Master Project Presentation]
Universitat Pompeu Fabra

BSc in Economics
Wuhan University

[Show/hide 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, Behavioral Economics, and Applied Machine Learning implemented in Econometrics
  • Topics: Skill supply and demand in the labor market

Public Goods Contribution:

  • Mixed Random Regret Minimization Model in Stata, mixrandregret[Repository]
  • Unofficial LaTex beamer theme for Maastricht University, [Repository]

Research

Working Paper

  • Impact of Generative AI Information on Vocational College Students’ Career Preferences: a Randomized Controlled Trial
    with Yang Tianyu, Barbara Belfi, and Carla Haelermans (Draft Available Upon Request)
    presented at: the 9th LEER Conference

Work in Progress

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

  • Building up Employability: Evidence from VET Curricula Updates in the Netherlands
    with Didier Fouarge, Barbara Belfi, and Melline Somers
    presented at: the second Studi-BUCH Text-as-data workshop, Skills2Capabilities Project Meeting (EU Horizon), the 9th LEER Conference

Publication

  • Fitting mixed logit random regret minimization models using maximum simulated likelihood
    with Álvaro A. Gutiérrez-Vargas, Martina Vandebroek
    Forthcoming at the Stata Journal [arXiv:2301.01091]

    [Show/hide 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

the second Studi-BUCH Text-as-data workshop (Essen, Germany)

EU Horizon: Skills2Capabilities Meeting 2024 (Venice, Italy)

9th LEER Conference on Education Economics 2024 (Leuven, Belgium) [Abstract]

mixrandregret Stata Conference 2022: London, the UK (presented by coauthor) [Link]

Research Assistant

  • Part-time Research Assistant at Stockholm School of Economics (Jul 2022 - Aug 2023)
  • Full-time Research Assistant at Big Data Decision Analytics Research Centre, CUHK (Jul 2022 - Jul 2023)
  • Part-time Research Assistant at Wuhan University (Jul 2019 - Dec 2021)

Teaching

Master Thesis Supervision

Guest Lecture: Minerva (R studio) Workshop

Tutor at Maastricht University (Feb - Mar 2024):

  • 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!