Two research ideas
Published:
Research Idea A: Who achieves “American Dream” through graduate education
Research Question: Given that immigration opportunity represents a significant potential return on graduate education investment, what factors determine international students’ success in entering the labor market of a developed country and economic prosperity in the United States?
Research Objectives: The study aims to analyze both extensive and intensive margins of success for international graduate students in the United States.
Key Dependent Variables of Interest:
- For Extensive Margin :
Stay/Leave Outcome
For Intensive Margin (Success Metrics): > Income trajectory post-graduation
Occupational advancement
Immigration status progression
- Key Independent Variables of Interest:
Academic background (undergraduate institution location, GPA)
Graduate program characteristics (field of study, institution ranking)
> Labor market conditions at graduation
- Methodology Considerations: The research would benefit from a longitudinal dataset tracking international graduate students from admission through several years post-graduation. This could be complemented by LinkedIn Data to create a comprehensive picture of career trajectories.
Research Proposal B: Predictive Validity of Standardized Tests in Graduate Admission
Research Question: What is the predictive power of standardized tests (particularly the GRE) for various outcomes in graduate education, especially for international students?
Research Objectives: To evaluate the effectiveness of standardized testing in predicting:
Methodological Framework: The study would analyze the relationship between GRE scores and:
For Master’s Programs:
Visa status transitions
Employment outcomes
Geographic mobility
For Doctoral Programs:
Publication output and quality
Citation Impact
Research collaboration networks
Patent applications
Startup formation
Data Requirements: This research would require combining data from: Academic publication databases Patent offices Immigration records LinkedIn Data