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Profile Evaluation Canadian applicant


hughie

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PROFILE:

Type of Undergrad: Top 2 Canadian University

Undergrad GPA: 3.88/4.0

Type of Grad:

Grad GPA:

GRE: waiting on results, should come soon

 

Math Courses: Calculus (A), Multivariate Calc (A-), Linear Algebra I & II (A), Differential Equations (A+), Topics in Abstract Math (B+), Probability and Statistics (A+), Real Analysis (A+), Topology (In Progress), Nonlinear Optimization (winter semester), Group theory (Winter Semester)

 

Econ Courses: Intro Micro and Macro (A-,A), Intermediate Micro and Macro (A,A-), Game Theory (A-), Information Economics (A+), Market Design (B+), Econometrics (A+), Behavioral Econ (A), Causal Inference (A), Advanced Macro (A), Financial Econ (In Progress), PhD Micro I (In Progress), IO (winter), International Trade (winter)

Other Courses:

Letters of Recommendation: 1.Prof who taught me Game theory, Information econ, and PhD Micro

2.AP who I RA'ed for, for a year

3. Professor who supervises the thesis course

Research Experience: RA for a year, writing thesis, wrote a small theory paper about reputation in Information Econ class not sure if it counts

Teaching Experience: N/A

Research Interests: Micro theory or IO

Other:

 

Where should I be aiming for? One of my letter writers told me he's not sure if his letter would be good enough for top 10, how bad of a sign is this? Do I have a chance at top 15?

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Where should I be aiming for? One of my letter writers told me he's not sure if his letter would be good enough for top 10, how bad of a sign is this? Do I have a chance at top 15?

I would make an extensive list of programs and then have your profs narrow it down.

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  • 2 weeks later...
My guess is your at U Toronto. I would talk to the faculty there and ask them. The one piece of advice, I will give you is pick the right letter writers. Someone who will write a strong letter and specific things about it. I've seen profiles like yours get rejected from every single top 10 school and I have sen profiles like yours get accepted at Harvard and Stanford. There is a lot of randomness profile.
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