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FailedSocialPlanner

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  1. PROFILE: Type of Undergrad: T20 US Private Undergrad GPA: 3.96 Type of Grad: N/A Grad GPA: N/A GRE: 161V, 170Q Math Courses: 10 senior level courses (All A), 2 PhD level courses (All A), includes analysis, statistics, topology, and probability classes. Econ Courses: 5 PhD level courses (All A, including graduate Micro I+II), 5 senior level courses (All A), a lot of micro theory. Other Courses: 5 CS classes (All A), including machine learning and data structures and algorithms. Letters of Recommendation: Did independent research with 2 professors (also my PhD micro profs), RA'd for the other one. All well-known in the theory world. Research Experience: Honors thesis on repeated games, RA on macro work, both part time in undergrad. Teaching Experience: 2 years of TA experience, not very relevant. Research Interests: Micro theory SOP: It's ok Other: N/A RESULTS: Acceptances: Yale, Princeton, Columbia, Northwestern, UMich, JHU, BU Waitlists: MIT, Penn, NYU, UCLA, Duke, Brown, UCSD Rejections: Stanford, Harvard, HBS, Berkeley, UChicago Attending: One of Y/P/N Comments: Huge results for a undergrad applying with not much research experience! My advice to American undergrads is that a B.A. is absolutely enough to at least try and apply directly to PhD programs especially if you're not interested in applied stuff and you're satisfied with your resume and transcript, international applicants should still go through the T10 masters/predoc route since that's what adcoms prefer. Take a lot of hard math/econ classes and do well in them. Try to have a decent writing sample before you apply and absolutely try to build good relationships with profs.
  2. Hi, thank you all for reading this and I would greatly appreciate any help you guys can give. I'm kind of stressed about admissions for the next academic year, I just want to adjust my expectations accordingly. I would like to know what schools should I apply to and also my chances for each of them. PROFILE: Type of Undergrad: US undergrad (ranked 10-20) Undergrad GPA: 3.96 Type of Grad: N/A Grad GPA: N/A GRE: 161V/170Q Math Courses: PhD: Theory of Statistics (A) , Measure Theory and Functional Analysis (A); Undergrad (all senior-level): Topology I + II (A/A-), Real analysis I+II (A+/A+). Probability (A+), Mathematical Statistics (A+), Time Series Analysis (A+), Topics in Financial Mathematics (A+) Econ Courses: PhD: Microeconomics I (A), Microeconomics II (A), Macroeconomics I (A), Topics in Microeconomic Theory (A); Undergrad (all senior-level): 4 advanced undergrad econ classes including metrics and finance classes (all A) Other Courses: 6 (junior-senior level) courses for a CS minor (all A) Letters of Recommendation: 3 from full professors, all well-respected within the theory circle. I have done research for two of them, and the other one specifically selected me to receive a department-awarded grant. Research Experience: This is where I'm most concerned about, I have only one summer's worth of research and one soon-to-be completed senior thesis (though I hope my research interests somewhat mitigate this since I'm primarily interested in theory). Teaching Experience: TA for a few math and econ classes. Research Interests: Microeconomic theory, finance. and applied micro fields (IR or Labor)
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