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Hgjasbt

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  1. Thanks for the reminder. I might take one or two classes initially and see if I can juggle the time for both effectively. If not, I'll definitely prioritize the pre-doc.
  2. Thanks. I could take courses during my RA at a heavily discounted rate and so I thought I might as well take advantage of that option. As for PhD Micro, at my school Micro II is the proof-based one, while Micro I focuses on the economic intuition. What's your opinion on machine learning? Some people say it's a fad but some say it could be a big component of economics soon.
  3. PROFILE:Type of Undergrad: B.S. Math, B.A. Econ with honors, T10 Undergrad GPA: 3.45 (econ: 3.93, math: 3.87). First year GPA was extremely low with several Ds/Fs. Type of Grad: N/A Grad GPA :N/A GRE: Q170, V165, AW5.5 Econ Courses: Honors Intermediate Micro (A), Honors Intermediate Macro (A), Honors Econometrics (A), Auction Theory (A), Dynamical Economic Modeling (A), Industrial Organization (A), Experimental Economics (A), Econometric & Data Science Methods (A), MA Game Theory (A), PhD Micro II (A), Honors Thesis (A). Math Courses: Honors Calc I-II (C, C-), Calc III (A), Intro to Proofs (A), Abstract Linear Algebra (A), Real Analysis I-III (accelerated/regular) (A-/A), Topology (A), Algebra I (A-), Honors Probability (A-), Measure Theory (A-), ODEs (A-), MA Mathematical Statistics (A-). LOR's: I had one strong letter from my thesis advisor when applying to a masters program, not sure about PhD programs later on. Will hopefully have 2 strong letters from RA position at a top predoc program. All are senior faculty. Research Experience: 2-year RA, Honors Thesis and 3 individual research term papers (50+ pages each). Awards: Outstanding thesis prize Research Interests: Not sure yet Applying to: Not sure yet --------------------------- I would like to get some advice for what courses to take based on my profile in the coming two years during my RA. Currently I'm trying to choose between: Functional Analysis Dynamical Systems PhD Metrics I-III PhD Micro III PhD Macro I-III Machine Learning Algorithms Measure-theoretic probability MA Big Data and Economics MA microeconometrics I'm leaning towards PhD metrics in my first year and time-permitting, functional analysis. Then, machine learning and algorithms in my second year and perhaps PhD macro. I'm also unsure which is better: An A- in a class like PhD metrics or functional analysis or an A in a class that is slightly easier, like MA metrics. I'm also unsure if it's necessary to build a profile with an obvious field of interest by taking classes that are relevant to the field. I am taking a maximum of 6 classes per year. Thanks for any suggestions, especially if they are classes I have not considered or listed.
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