Chaonuo Dai, PhD in Economics


Release date:2024/08/18
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Chaonuo Dai,  PhD in Economics

 Assistant Professor

 

Contact Details

Tel: 85902321

Email: cndai@cityu.edu.mo 

 

Academic Qualifications

PhD in Economics, Australian National University, 2019-2024 MA in Applied Economics, Australian National University, 2017-2018
BA in Economics, University of Macau, 2012-2016
 

Research Area

 Applied Microeconomics, Development Economics, Education Economics, Household Economics 
 
Working Papers
  1. Education Transmission, Peers, and Children' s Development: Evidence from Secondary School Students in China.
  2. Children' s Peers and Parents' Efforts in Intergenerational Education Transmission: Evidence from China.
  3. The Production of Cognitive Ability in Chinese Children: Home inputs and Test Score Gaps
  4. Rank, Peer Achievement, and Shadow Education: Evidence from Secondary Students in China (with Yuzhi Zhou)

 

Presentations

 Conferences:

  1. 2023 Asian Meeting of the Econometric Society in East and Southeast Asia;
  2. The 37th PhD Conference in Economics and Business;
  3. 2024 Meeting of the Society of Economics of the Household Seminars and workshops: RSE PhD Workshop, ANU (2019);
  4. RSE Applied Microeconomics seminar series, ANU (2019, 2022, 2023)

 

Teaching experience

 Econometrics, City University of Macau, Instructor, S1 2024 

 Health Economics, ANU, Teaching assistant for, S2 2023 

 Econometrics I: Econometric Methods, ANU, Teaching assistant, S1 2023; S1 2022 

 Econometric Methods and Modelling, ANU, Teaching assistant, S2 2022 

 Applied Macro and Financial Econometrics, ANU, Teaching assistant, S2 2022 

 Resource and Environmental Economics, ANU, Teaching assistant, S2 2019 

 

Grants and Awards

 HDR Fee Remission Merit Scholarship, Australian National University, 2019- present

Postgraduate Research Scholarship, Australian National University, 2019- 2022

Bank of ChinaAcademicPrize, University of Macau, 2016

Henry FokFoundation Scholarship, University of Macau, 2013

 

Skills and Additional Information

Programming Languages:  Python, R, LaTeX

 Language:  Mandarin (Native), English (Fluent), Japanese (Basic)



 
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Course schedule
Timetable