Two research ideas

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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)

> Program cost and financial aid structure
> Labor market conditions at graduation
> Ability (Measured by admission results)
  • 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