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1. What is the academic mission of the QuarRCS lab?
Exploit the integration of econometrics, data science and machine learning methods to understand and inform the process of economic development of countries, regions, industries, and firms.
2. What are the current lines of research of the QuarRCS lab?
- Quantitative geography of poverty and inequality
- Regional growth and convergence
- Regional labor markets and macroeconomic shocks
- Structural change and economic growth
- Firm productivity dynamics
3. What research methods are commonly used to conduct research in the QuarRCS lab?
- Panel data econometrics
- Spatial econometrics
- Nonparametric econometrics
- Bayesian econometrics
- Machine learning
- Geocomputational methods
4. How could I join the QuarRCS lab?
Official admission follows the procedures and programs described in the Admission Policy of the Graduate School of International Development at Nagoya University. Please, carefully revise the following websites.
- Admission policy of the Graduate School of Internation Development (GSID)
- Application for admission and requirements
Among all the application requirements, we strongly recommend you write a clear and concise research proposal. Your chances of acceptance largely depend on this proposal. Since the number of applications to this research lab have been increasing, the selection process has become very competitive. Thus, to increase your chances of acceptance, you could prepare a proposal that is consistent with our previously described lines of research and research methods. To have a more concrete reference, you could review our research outcomes, projects, presentations, and tutorials.
5. What is the profile of those who successfully join the QuarRCS lab as master students?
- Research proposal is consistent with the research lines, methods, and projects of the QuarRCS lab
- Undergraduate-level knowledge of economics and statistics
- Ability to use statistical and mathematical software: Stata, R, Python, GeoDA, or Matlab. (at least ONE)
- High motivation to learn and use data science, spatial econometrics, and machine learning methods to conduct research.
If you believe your current background does not match this profile, but still want to join us, your could first apply as a Research Student for six months (or one year). During this time, you can develop your academic skills with us, brush up your research proposal, and prepare for the entrance examination of the master program.
6. What is the profile of those who successfully join the QuarRCS lab as doctoral students?
- Research proposal is highly consistent with the research lines, methods, and projects of the QuarRCS lab
- Advanced knowledge of economics, econometrics, or statistics.
- Ability to use and write programs in Stata, R, Python, GeoDA, or Matlab Python. (at least TWO)
- Plan to use data science, spatial econometrics, and machine learning methods to conduct research.
If you believe your current background does not match this profile, but still want to join us, your could first apply as a Research Student for six months (or one year). During this time, you can develop your research skills with us, brush up your research proposal, and prepare for the entrance examination of the doctoral program.
7. What research projects are currently being developed by the members of the QuarRCS-lab ?
The research interests, topics, and projects of lab’s members are listed HERE.
8. How should I write my research proposal?
Your research proposal should clearly state the following:
- (1) Brief background of your research topic:
- What do you know about this topic? Why should we care about this topic?
- What specific research publications have you read about this topic?
- (2) Research objectives and questions:
- What specific research question do you plan to answer?
- How do you plan to contribute to the previous literature on this topic?
- (3) Research methods:
- How do you plan to answer your research questions?
- What quantitative/econometric methodology do you plan to use?
- (4) Data:
- What kind of data do you plan to use? What variables do you plan to study?
- What is the unit of analysis of your data? National-level? Regional-level? Industry-level? Firm-level? Individual level?
- What is the time-horizon of your data? Is your data available for multiple years? Is it a balanced panel dataset?
- Can you access to the data? Is this dataset publicly available?
- (5) Implementation plan:
- What steps will you follow to implement your research project?
9. What papers can I read to write my research proposal and develop an understanding of the research lines of the QuaRCS lab?
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