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I’ve been active duty military for the better part of 20 years and it’s been more than 15 since I’ve taken math. I started with college algebra for a foundational refresher. I’ve returned to school with the goal of beginning a graduate program in Economics upon reaching military retirement. Not surprisingly, it took some serious studying to get back into a mathematical flow. I fumbled through some topics, but did fine overall. It’s humbling to see the level of math education on this forum. My question is, has anyone here started that low? If so, how easily were you able progress through to advanced calculus, linear algebra, real analysis and beyond? Finally, how many Econ grad students do you see in their 40s, and is age a factor for admissions? Thank you for your insights.
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Hi, I am applying to programs in fall '22, with a range of target options (a few in top 10, a few in top 50, a few in top 150). My math background is weak. I work full-time so am trying to come up with an efficient plan that maximizes my chances for admissions. Math that I have: Calc 1 - AP Honors Calc 2 - B Linear Algebra - currently taking at Georgia State (likely A) Business stats - A Stats in public policy grad school - B Econometrics in public policy grad school - A Options that I am considering: 1. Take courses locally (mostly Georgia State University) Fall '21: Multivariable Calculus Spr '22: Stats 1 (in Math Dept), Differential Equations Sum ' 22: Stats 2 (in Math Dept) Fall '22: Linear Algebra with Real Analysis I - 23A (online at Harvard Extension) 2. Take courses online via Harvard Extension Fall '21: Multivariable calculus - 21A Spr '22: Mathematics for computation and data science - 23C Sum ' 22: Linear Algebra with Real Analysis I - 23A Fall '22: Mathematical Statistics 156 AND Differential Equations 21C Would love any advice. And open to other ideas too! Thanks in advance.
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Doesn't seem like there are any Roll Call threads anymore, but I'll still use the format from the old ones. I'm a rising 3rd year, and will be graduating in 3.5 years: PROFILE: Type of Undergrad: Honours Economics, Minors Mathematics and Urban Systems at a Top 3 Canadian University Undergrad GPA: 3.5/4.0, 3.8/4.0 for Econ Type of Grad: N/A Grad GPA: N/A GRE: Yet to take Math Courses: Calc 1 and 2 (No grade, AP credit exemption), Calc 3 (D, B+, I'll explain later), Differential equations ©, Linear Algebra (B+), Algebra 1 (A), Algebra 2 (A), Mathematical Statistics (A), Analysis I (taking next fall), Analysis 2 (taking next winter) Econ Courses (grad-level): Game Theory (A-), Micro I & 2 (next fall & winter) Econ Courses (undergrad-level): Honours Micro, Macro, Stats, and Econometrics (A- in all 4), Honours open economy macroeconomics (A), Political Economy of Trade Policy (A) Other Courses: Foundations of Programming (A), Urban Field Studies (may be relevant? taking next fall), will take a few more Computer Science courses, particularly Data Structures. Letters of Recommendation: Haven't asked yet but will be my pretty well known metrics prof, my game theory and open economy prof, and a younger prof who will be supervising my undergraduate thesis. Research Experience: Research internship with a well known think tank, undergraduate thesis Teaching Experience: Going to try and find a TA position in either the MATH or ECON departments this year, have worked as a tutor for the econ students association Research Interests: Urban Economics and Game Theory SOP: Haven't thought about it yet Concerns: My grades in computational mathematics suck lol. I got a D in Calc 3 during the first semester of my second year. I took a supplemental exam (essentially counts as retaking the class in one exam) and got a B+, which is decent I suppose. Other: Sorry that a lot of this is speculative. I'm really just trying to get a feel for where I should be looking for a PhD, or if a masters first would be better. Also, just to clarify, the linear algebra I got a B+ in was the 100-level version, Algebra 1 and 2 are the 200-level majors version. Applying to: Please tell me where I should be looking. I'd prefer to stay in Canada or go to Europe, but am not against somewhere in the US.
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Hello everyone, I'm a junior majoring in Economics and Mathematics in a small state college. I was wondering is there any summer research internships available that you know. I'm applying to MIT Science research program, but that is very competitive. It'd be great if anyone suggest me some research internships that I can apply for summer 2021. Accomplished courses: Intermediate Micro and Macro, Econometrics, Development economics, Environmental Economics, Calculus 1-3, Linear Algebra 1-2, Abstract Algebra, Differential equations. GPA: 3.87 (both major), 3.90 (overall) Experience: 1 paper in EEA conference as a co-author, peer tutor and teaching assistant.
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I'm trying to take UMD's PhD-level microeconomics as a think tank RA this fall. Last time I asked they told me my math background was insufficient (due to poor grades, I'm assuming) so I retook a bunch of classes. My old/new grades are below: My old grades from a top 30 undergrad w/ quarter system: Calc I-IV (A-. B+, B-, B), Linear Algebra (D, retook for C+), Advanced Linear Algebra (C-), Real Analysis I-II (B+, A), Intro to Probability Theory (B-), Intro to Math Stats I-II (C+, Pass) My new grades: Calc IV (A), Linear Algebra (A), Intro to Probability Theory (A). Retook Calc IV and Linear Algebra at my local community college; retook Intro to Probability Theory at UC Berkeley. Is there anything I'm missing here in terms of the math background needed to do PhD-level microeconomics? Is my B+ in Real Analysis I going to be a big deal here if I got an A in Real Analysis II? I realize the instructors still might decline to let me in on the basis of older grades, but I want to make sure I've done as much as possible to help my case.
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I am a current undergrad at a top 5 (think HYPMS) university. I did not do so well in multivariate calculus and linear algebra (think B/B+), so I am thinking of taking a course at a UC this summer for remediation. Unfortunately, due to COVID, it seems everyone got the same idea, leaving it impossible to register for a course at UCLA/UCB. This leaves me with options at these schools: UCSC: Linear Algebra UCI: Multivariable UCR: Multivariable Linear Algebra I Was wondering if taking any of these courses would help remediate my ****** grade and at least show I am competent in these subjects. I do plan on taking harder courses next year at my school, and hopefully I'll do well. However, I was wondering if the quality of these schools should impact my decision in which school(s) I choose (I can choose multiple thanks to remote instruction), and which school I should choose.
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Hi, I am a Canadian undergrad at one of the top 2 Canadian universities and I am just looking for advice on whether a Canadian MA is needed if my goal is to get into a top 15 US PhD program. It seems like a common route but is it feasible to get into a top 15 straight out of undergrad? Here is my profile so far (just finished first semester of junior year) Type of Undergrad: Top 2 Canadian Undergrad GPA: 3.87/4.00 Math Courses: Calculus (A), Multivariable Calc (A-), Computational Linear Algebra (A), Proof-based Linear Algebra (A), Real Analysis (A+), Mathematical Probability/Statistics (A+), Number Theory (B+), Taking in the future: Nonlinear optimization, complex analysis, ODE, and then maybe an independent study course in functional analysis since I'm interested or if not abstract algebra. Econ Courses: Principles Micro (A-), Principles Macro (A), Intermediate Macro (A-), Intermediate Micro (A), Game Theory (mark pending), Behavioural Economics (A-), Econometrics I (A), Taking in the future: Advanced Macro, Information Economics, Market Design, IO, Econometrics II, maybe Grad Micro I, Financial Econ Research Experience: Currently RA for a professor, will write honours thesis in 4th year Research Interests: Have not decided yet, micro of any sort is something I can see myself doing Apart from doing well in future courses what can I do to improve my chances?
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Is real analysis really important for PhD admission? Is it possible to get into a top 50-70 program with only Calculus 1-3 and linear algebra? Thanks!
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Econ PhD from pure math background? / Refining goals
snickers bar posted a topic in PhD in Economics
Hi all, I'd like some thoughts on my current situation. I'm currently a senior math major, and up until a few months back, I'd been pretty much dead set on attending grad school in pure math. This past summer, however, I interned at a trading firm ended up leaving with a pretty serious interest in financial markets. I'm still looking at math grad schools, but mainly towards the more applied side (i.e. programs that'll give me the chance to take more coursework and conduct research in derivatives pricing). I also started looking into Econ PhD programs that'll give me the chance to do markets-oriented research. My main question is: will Econ programs give me serious consideration with essentially zero undergraduate economics coursework? If not, would the recommended course of action be to go for an Econ MA/MS, or work for a few years in something like a fed/similar RA or econ consulting job? Profile's below, to give a better picture of where I'm at. Type of Undergrad: BA Mathematics, USNews T10 Undergrad GPA: 3.8. Avg 3.91 across Soph+Jr years, had some issues as a freshman. Should be ~3.85 at grad. GRE: Taking this fall. Math Courses: Calc II/III, DiffEq, Linear Algebra, Intro to Proofs, Abstract Algebra (yearlong sequence), Galois Theory, Number Theory, Real Analysis (yearlong sequence), Complex Analysis, Probability Theory (yearlong sequence), Differential Geometry, Advanced Linear Algebra. Generally A/A- grades, with with a B- linear algebra from my freshman year. Econ Courses: Intermediate micro (B, from freshman year). AP credit for intro micro/macro. Haven't taken an Econ class in 2.5 years. Other Courses: Intro to CompSci, OOP, Data Structs & Algorithms, assorted physics courses. Letters of Recommendation: Two from math instructors/research supervisors, one from a physics instructor. Research Experience: Three years research, all in math and physics. Teaching Experience: Tutor for Calc I/II/III, linear algebra, physics mechanics, and electricity & magnetism through school's tutoring program. I'd appreciate any feedback to whether Econ programs are even a realistic goal at this point (and how I can improve my profile), or if I should just drill down on the applied math programs and go from there. Thanks! -
Hi, I didn’t do well in my undergraduate Linear Algebra II class and got a B- - mainly because I bombed my final exam. Anyways, I just graduated and am now working as an RA, and have the opportunity to take post-bacc classes at a local university (different form the university I attended). Should I retake Linear Algebra, or should I just leave it and take other classes like stochastic processes or the statistics version of Linear regressions? Any advice would be appreciated. Thanks! :)
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I was recently talking to a well-known professor about what kind of math is used in theory research. He said, "The entire field of economics is coordinated around real analysis, but I have no idea why - I've never used it in research at all. What you actually need to know is proof-based linear algebra and probability theory (not necessarily measure-theoretic, although that doesn't hurt)." No question here, just figured this information might be of value to someone.
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I'm currently an undergrad, and I have a quick question about taking grad linear algebra: Initially, I took a matrix theory/algebra class (which was called something like Matrix and Linear Transformations and so it covered some parts of linear transformations), and got a C initially, which I then retook and got a B. Later, I took a course that's actually called Linear Algebra (so this is the more legit linear algebra course & covers everything that was covered in matrix theory/algebra class + more linear algebra stuff & is mathematically rigorous, proof based), and got an A. I have an option to take grad linear algebra as an elective, and I was wondering what you guys think, given that even though I got an A in the Linear Algebra course, those bad grades in matrix algebra worry me. (I had some hard time with math in the beginning, but did better as I took harder courses: in fact, I got straight straight As the past three semesters in all math courses including: two sequences of Real Analysis, Topology, Stochastic Process, PDE and Fourier series, and so on.) I would like to be competitive for top schools (20 or higher), so let me know what your thoughts are, thanks for the help!
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Type of Undergrad:Top 25 LAC Undergrad GPA: 3.65 (ECON 3.67, Math 3.54) Type of Grad: n/a Grad GPA: n/a GRE: 168Q/163V Math Courses:Calc 2 - B Multi - B+ Linear Algebra Proxy (but light) - A ODE - B+ Probability - B+ Discrete - A- Abstract Algebra - A Real Analysis - A Econ Courses:Basic Econ Stats (OLS, etc) - A- Econometrics - B Mathematical Economics - B+ Macro - A- Micro - A- Other Courses: Letters of Recommendation: 1 from my major advisor who I've taken a class with, 1 hopefully from my real analysis professor, and 1 TBD Research Experience: 2 years at an economic consulting firm, focusing on energy; may try to get a letter of recommendation from here but not sure Teaching Experience: none Research Interests: energy, healthcare SOP: Will write about interest in wholesale electricity markets most likely Other: I plan on applying widely in the 20-40 range of schools. I definitely planning on applying to a few ARE programs as well. Any thoughts on my chances?
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I have a couple of choices of linear algebra courses to take. - A is standard linear algebra course, uses Strang's Intro to Linear Algebra (should give context on the material) - B is computational linear algebra, ie it has a focus on computational applications, MATLAB programming, etc. It covers the same material as course A in a sense, but probably with less focus on the theory. - C is proof-based, abstract linear algebra, uses Linear Algebra Done Right as a textbook (for context on the material). Known to be the hardest of the three. B seems more helpful towards possible research work, as it provides experience with computational methods that could be useful in doing RA work (and also in applying to pre-doctoral RA positions, which I'm considering). C seems the most helpful for signalling, but I don't know how valuable linear algebra is as a signal compared to other math courses (I've heard it's not) and the potential grade hit/opportunity cost may not be worth it. A is probably the least work and maximizes probability of a good grade while giving me time to focus on other math courses. Which should I take?
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hi all, I'd like to get evaluations on my math grades as to how they are for applying for RA positions (positions on nber, siepr, etc.), and advice as to which electives to take. So far: Calculus I (A), Calculus II (A), Calculus III (A), Multivariate Analysis (A), Matrix Algebra (C, B), Linear Algebra (A), Abstract Algebra (A) ,Introductory Proof course ©, Discrete Math (B), Differential Equations (B), Linear Programming (W,A), Real Analysis I (A), Real Analysis II (A), Advanced Probability (A), Statistical Inference (A) Topology (A) How does this look? I was struggling a lot but I managed to pull my grades up in more advanced courses (got As the past two semesters). I was told by others at my school that I have solid research/programming experience, but will add onto here if needed. But for now, I'm just wondering if my math grades will give me a trouble in applying for the RA positions (my GPA is around 3.65 I believe). Also any advice as to which electives to take? (in need of 1 or 2 more) Thanks! -
PROFILE: Type of Undergrad: US T40 public school Undergrad GPA: 3.72 GRE: Haven’t taken Math Courses: Calc 1/2 (AP), Calc 3 (B+), Linear Algebra (A), Proofs (A-), Prob/Stats (computational) (A-), ODE (A-), Analysis (C+), Probability (A), Mathematical Statistics (B+), Algebra (A-), Stochastic Optimization (B), plan to take advanced linear algebra and intermediate analysis Econ Courses: Intro micro/macro (A/A-), Intermediate micro/macro (A/A), Econometrics (A), Game Theory (A), Advanced Macro (A), IO (A), plan to take two more econometrics classes Other Courses: assorted social science, some physics Letters of Recommendation: 1) Professor I worked for as an RA for a year, who is advising my thesis. Should be good. 2/3) Unsure. There are a few professors whose classes I have done well in, but I’m not sure if their letters would be informative enough for admissions, since they haven’t observed me in a research setting. Research Experience: One year of RA experience. Will spend this summer working as an RA (for letter writer #1) and starting my senior thesis, which I expect to be a decent empirical piece but nothing amazing (although it’s very early to say). Teaching Experience: NA Research Interests: Most likely applied micro (labor), although I am interested in political economy, macro, and development as well Other: I worry that some of my less-than-stellar math grades and lack of strong letter writers (for 2/3) would prevent me from being accepted into a decent program, so hopefully I can secure an RA position and work hard to improve my profile in those two years. I’m wondering what my chances are in applying for NBER/Fed positions. Any other advice is more than welcome.
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I've done bad in some of the intro courses, but got A's in the advanced courses: Calculus I - III (As), intro to proof ©, basic matrix algebra ©, advanced matrix algebra (A), discrete math (B), linear algebra (A), Real Analysis I (A), Real Analysis II (A), algebraic structures (A), differential equations (A), Stochastic Methods (A), operations research (A). Will this hurt my chances (the C's and a B)? I'm from a top 20 private research university in the states. Also, feel free to give me any advice. I'd like to go on a top econ phd in the future :/
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I'm planning on applying for some RA positions at top institutions, and I have some concerns, primarily GPA and grades. (my school is known to be hard with some grade deflation). I was wondering what my chances are for getting into such RA position. And just advice in general will be very helpful :) (which math/econ courses to take, etc) PROFILE: Type of Undergrad: Top 20-25 Private Research University Undergrad GPA: 3.5 GRE: N/A TOEFL: N/A Math Courses: Calculus I-III (A,A,A), Intro to Proof ©, Intro to Matrix Algebra ©, Advanced Matrix Algebra (A), Discrete Math (B), Differential Equations (A), Algebraic Structures (A), Operations Research (A), Stochastic Methods (A), Linear Algebra (A), Real Analysis I & II (A,A) Econ Courses: Intermediate Micro, Macro (A, A), Microeconomics I (Grad level; A) Econometrics (B, B), Econometrics I (Grad level; A) Letters of Recommendation: N/A Research Experience: RA for my macro professor for more than a year, an independent study under him, plan on working with a well-known professor/author for a standard economics textbook Software Skills: Proficient - STATA, R, SAS, EXCEL, python Concerns: GPA, grades Thank you very much.
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Calc I-III (A's), Intro to Proof ©, Intro to Matrix Algebra ©, Advanced Matrix Algebra (A), Discrete Math (A), Real Analysis I and II (A's), Algebraic Structures (A), Differential Equations (A), Stochastic Process for Applied Mathematics (A), Operations Research (A), Linear Algebra (A) How does this math profile sound like? The two C's there concern me, but I was able to overcome my weakness in math and perform better in more advanced courses. Also, any suggestion as to which more math's to take? (Or advice in general). Thanks. (I'm from top 20-25 private research university in the US, double majoring in econ and math)
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Age: 22 Gre: 168q 163v 4.5w Gpa: 3.75 at top 50 ug, top 20 utd ranking Math courses: Calc 1, 2, 3 (As), Linear algebra 1 (A), ODE (A), PDE(A), Mathematical modeling (A), Probability (A-, A), Intro stat theory (A), Honors Analysis (A-, A-, A), Linear Algebra 2 (A), Nonparametric Stats (A-), Topology (A) Econ Courses: Inter micro (A) Inter macro (A), Adv macro (A) Adv Micro (B+), Econometrics 1 (A), Econometrics 2 (A) Grad micro in progress Reaearch Experience: Honors thesis Teaching Experience: None Work Experience: None Concentration: Org Behavior Not sure what else to add. Can anyone tell me the relative difficulty of getting in as an org applicant versus other applicanta?
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Hi I will apply phd next year and need some advice for my course selection. Basically, I am facing two paths, 1. Take econ elective course which require me to write a master thesis. I expect to be able to build good relationship with the professor and get a good LOR from him. 2. Take stochasic process and machine learning course. FYI, I majored math in undergrad and courses I have are cal1, 2, 3, linear algebra, differential equation, analysis, real analysis, probability, intro stats, theoretical stats, non linear dynamics, abstact algebra, numerial analysis. (Mostly A/A- but B+ in diffequ and B in cal I) Under this circumstances, should I need to take machine and stochastic analysis? I am aiming TOP 5-10.
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Hi everyone! I am an Australian undergraduate student majoring in Economics and Mathematics. At the end of my degree I am hoping to do an Economics PhD at a highly-ranked American or British university. Next semester I have to choose one of the following two maths units, and I was wondering which you would recommend: ' MATH2968 - Algebra (advanced) MATH2065 - Introduction to Partial Differential Equations ' The PDEs course is aimed primarily at engineering students and I have gotten the impression that PDEs are fairly unimportant outside of finance. The content of the algebra course is even less relevant to economics, but the course looks really interesting and would give me some practice writing proofs, so I am leaning towards algebra The websites of various American universities state that differential equations is recommended for students considering a PhD. I am already familiar with the basics of ODEs from a first year course called "Integral Calculus and Modelling" and I can teach myself the relevant content in the holidays, so I am not worried about my understanding. I am however worried that not having a differential equations course on my transcript may reduce my chances of getting accepted into a top program. Will adcoms look down on my application if I have not taken differential equations? Which course would you recommend taking? Thanks!
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Three types of pencils, J, K and L, cost $0.05, $0.10, and $0.25 each, respectively. If a box of 32 of these pencils costs a total of $3.40 and if there are twice as many K pencils as L pencils in the box, how many J pencils are in the box? A. 6 B. 12 C. 14 D. 18 E. 20
