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Which one, Numerical Analysis or Complex Analysis, would be more useful for Econ PhD admissions? I don't really understand the applications to Economics of either one... can someone fill me in?

Hi there, Profile: International student Undergraduate: Commerce - Not well known outside home country Percentage - 75% - this is a decent score. Cleared a very difficult famous accounting charter exam in India alongside my bachelors- only 11% of test takers clear in the 1st attempt - will this help prove academic ability in any way? Masters - Economics - Top 5 Economics depts UK Percentage - Distinction - Top 5% of the class. Diploma in maths - Distinction - Top 5% of class .......................................................................................................................................................................................................... Courses from MSc in economics and diploma in maths - courses from undergrad not very relevant to economics. Economics topics - Intermediate micro (82), Intermediate Macro (72), Econometrics (65), Money and banking (64), MSc Macro (78), MSc Micro (82), MSc Metrics (78), Game Theory (79), Public Finance (78), Asset pricing (80). The MSc modules are somewhere between intermediate courses and graduates courses in terms of rigorousness. Math topics covered - Partial Differential Equations (75), Real analysis I (74), Real analysis II (72), Complex Analysis (75), Ordinary Differential Equations (78), Stochastic Processes (70), Linear Algebra (80), Optimisation (73). ......................................................................................................................................................................................................... Research Experience - none Potential References - One from the head of the department who taught me undergrad level metrics - he knows me well, did his PhD from top in Australia. Another from math professor where I did my Math diploma - knows me very well and have discussed a lot of stuff with him with regard to mathematical applications in economics. Another from my dissertation supervisor, an associate professor who did his phd from an ok uni in the UK but I managed to really impress him with my MSc dissertation. He gave me very good marks on my dissertation. GRE - Q/V/AWA - 166/154/4.5 Research Interests: Macroeconomics, Time series My goal is to apply to the top 20 Economics PhD programmes. I fee like I should either do a course that strengthens my math profile or my economics profile. Its really hard to get a full time RA opportunity in the UK so i thought i should decide to focus on coursework and grades. i am hoping that my dissertation supervisor's reference would be sufficient proof of research potential. In the same university where i did my MSc in economics there is a course MSc in applied math that students in that past have taken and were placed in top 20 phd in economics in the US. This course allows you to take advanced math courses and phd level economics modules from the econ department. This will also help me build better relations with some of my potential referees and perhaps obtain a stronger reference from one of the profs teaching phd students. As part of a dissertation i will again get to reach out to some profs who are well known and write a dissertation under them. I could choose modules such as: Measure Theory Stochastic Analysis Advanced Macroeconomic Analysis Functional Analysis I Advanced Econometric Theory Introduction to Topology Advanced Real Analysis Another choice I have is to go for the LSE EME course where the coursework is perfect preparation for phd in the US but may not help me get a good reference as it is a short 9 month course without any dissertation element. I am worried if my lack of RA experience is going to count against me. Students from my program (Msc in economics) before me have gotten into Stanford, NYU, UofT, UBC, UCLA, Minnesota. Which course should i choose to maximise my chances of top 20 phd? Is there something else i can do to improve my chances of getting into the top 20 US Econ programmes? Please guide me.... :eager: Thanks a lot in advance.....

Hi I am doing a degree in economics and applied maths and took a total of 14 maths and stats courses. Out of those all except for 4 are As (As in many proof based courses like functional analysis, ODEs, Complex Analysis, Real Analysis). I have Cs in PDEs, Bayesian Inference, Stochastic Processes and Stochastic Simulation. Three of those were because of poor health during prep and exams and I missed the deadline to apply for a resit. I m definitely going to retake PDEs and stochastic processes wherever I do my pre-doc/just any uni close to me that offers the course because I know that those courses are important. Do I need to retake the bayesian and stochastic simulation courses as well? I honestly can't be bothered to do it. Also what do you think about my overall profile in terms of maths prep? I have strong As in all my Econ courses. Thank you

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.

Hello everyone. I am an international student from Korea. I majored in econ and math as undergrad and I am doing masters in econ in Korea and I am going to apply next year. I've already taken several math graduate courses( eg) Graduate real analysis, algebraic topology, financial mathematics, etc) and got good enough gpa in math( 4.32/4.5 and 4.0/4.0 in 4.0 scale). Is taking more math just for fun a waste of time? I want to take functional analysis 1,2, convex optimization, harmonic analysis and some probability theory courses. I have my GRE, Toefl scores ready and and I am also doing my research. What are your thoughts?

Hi everyone, I took real analysis this past semester and unfortunately got an A-. I heard that nowadays for your application to be considered competitive, getting an A in real analysis is almost a 'must'. I am aiming for T30 programs, and I wonder how much of a negative impact this A- in real analysis will have on my application. A bit more information on my math background (I'm an undergrad double majoring in Econ and Math at the U of Michigan): Calc I-III (As) Linear algebra (A-) Intro to Probability (A) ODE (A) Abstract Algebra (A-) GRE quant (170) Also, I wonder what I could do to offset the negative impact of this A- in real analysis. I am a rising senior and will be applying this fall, so I only have this spring/summer semester and the upcoming fall semester. I have thought about: Retake real analysis in the spring and get an A+ (but after second thought I feel like the marginal utility of this strategy is pretty low, considering that taking courses in the spring is expensive and time-consuming, and might affect other work I have over the summer, namely thesis and RA work) Take a more advanced analysis class and get a good grade. However, the second course in analysis is not offered in the upcoming spring/summer/fall. Would taking it online be an option? If so, where can I take it? Take grad-level micro theory. However, I couldn't get permission to enroll from the instructor due to the fact that I haven't taken game theory ( the policy to enroll in grad-level econ course here is a bit stricter) What other things can I do to demonstrate that I am mathematically prepared for grad-level coursework? Any comment/help/advice will be greatly appreciated! Many thanks in advance :)

Hello All, I recently received offers from three MA Econ programs in the US, which are UT Austin, Tufts, and Vanderbilt. They have offered me 35%, 85%, and 100% tuition scholarship, respectively. My top choice is Vanderbilt as I wouldn't have to pay tuition, just the living costs. However, my aim of doing an MA is moving on to a good PhD program, possibly Top 30 in the US. Following is my undergrad math/stats/econ background: 1) Intermediate Macro / Micro: A- / A 2) Econometrics: A+ 3) Calculus 1-3: A 4) Vector Analysis: A (Predicted) 5) Linear Algebra: B 6) Ordinary Differential Equations: B+ 7) Discrete Structures: A+ 8) Mathematical Statistics: A+ 9) Probability Theory: A+ 10) Advanced Calculus I (Analysis I): A (Predicted) 11) Statistical Inference: A (Predicted) 12) Senior Level Regression Analysis: A 13) Senior Level Analysis of Variance and Experimental Design: A (Predicted) GRE: 162V/ 170Q/ 4.5AWA I face two choices. One is to accept the offer from Vanderbilt and do the master's. However, this would not leave much room to take math courses and improve my math background. The best I can do is perform well in my master's level economics courses and do some research. Second option is to defer my offers and instead of minoring in math, which I am currently doing, major in math by extending my bachelors and graduating in May 2022 instead of 2021. The offer from Vanderbilt is very attractive financially, and I would certainly like to take it. However, I am not sure if my math background is strong enough to eventually land me a spot in a Top 30 PhD program in the US. I would like to know the strength of my profile for PhD admissions. Thank You!

I'm a highly motivated third year History student at a top European university, where because of the nature and content of my course, cannot take official math courses. However, a.) having self-taught advanced calc/prob theory/lin algebra/real analysis, b.) RA under macro economics proff, c.) having been published in 2 economics journals, and d.) taking certain optional econometric and economic theory courses, I have tried to make my profile very economics centric. I was able to land an analyst internship at a well funded think tank for this coming summer, and at European Central Bank for the next month. However, as you're aware, these have virtually no academic standing for PhD admissions. I have found certain online programmes, which include assignments and exams that are graded and are of expected standards, which can possibly attest to my mathematical capabilities. This includes paid courses at MIT OCW (Advanced mathematical modelling, advanced statistics, prob theory) and Harvard Extension School (calc II, multivariable calc, linear algebra, real analysis I & II, and real analysis - convexity and optimisation). I hope to complete all of these in the next 2.5 years and would have had greater exposure to economic research by then. What else can I do? I am willing to work extremely hard and give my very best. And before you say it - Yes, I know it's crazy/impractical/possibly useless/weird and Yes, my chances are really low and I'm possibly not going to cut it. EDIT 1: GRE: 170(Q)- 167 and GPA ~ 3.9. Extracurriculars - starting a software product company with 6 digit annual turnover/ consultancy internships/ volunteering EDIT: Do you suggest any master's programmes? Are there master's programmes in economics which have placements in top 10 for econ PhD? other aspects ~ 3.9 GPA, with a letter from my college's vice-chancellor and econ proff.

So after over a decade, I am back to this forum. Very surprised that my profile still remains and my password works. I initially found this place and joined back in 2005 (yes you read that right), when I was a junior investment banker, and a year later I started the life changing adventure of getting my Econ PhD. For what it's worth, I want to share the courses I took as an undergrad and also rank (with the advantage of hindsight) how helpful each course was to my PhD pursuit. Perhaps this would help some with their course selection. In a separate and tangentially related note, the PhD has given me what I wanted out of it and more, but if you managed to read through a lot of my old posts, you would have guessed correctly that what I wanted out of my PhD was quite different from the norm in the first place, but that's a different conversation. I still publish academically for fun, but am not a full time academic. Good luck to all and good to be back. So below are the courses I have taken as an undergrad, and the numbers next to the course names are my assessment of how useful they were for PhD courses. 5-Must have 4-Good to have 3-If the instructor is influential enough in the field 2-Not that helpful 1-Not useful but had to take it for graduation First year fall quarter: Elements of Econ Analysis 1 (intermediate micro I), 4 Philosophical perspectives 1, 1 Calculus-3, 4 Stat Meth and Applications, 5 First year winter quarter: Elements of Econ Analysis 2 (intermediate micro II), 4 Elements of Econ Analysis 3 (intermediate macro I), 4 Philosophical Perspectives 2, 1 Analysis in Real Numbers 1, 5 First year spring quarter: Elements of Econ Analysis 4 (intermediate macro II), 4 Econometrics A, 5 Philosophical Perspectives 3, 1 Analysis in Real Numbers 2, 5 Second year fall quarter: Introductory game theory, 3 Analysis on real numbers 3, 5 Basic Algebra 1 (honors), 2 Power, Identity, Resistance 1, 1 Second year winter quarter: Colonization/servitude/slavery, 1 International Trade/Economic Growth, 3 Basic Algebra 2 (honors), 2 Power, Identity, Resistance 1, 1 Second year spring quarter: Introduction to Finance, 3 Basic Complex Variables, 2 Intro to math probability, 5 Power, identity, resistance 3, 1 Third year fall quarter: Art of China, 1 Theory of Income (PhD level macro), 3 America in Western Civ 1, 1 Third year winter quarter: America in Western Civ 2, 1 Point Set Topology, 2 Ordinary Differential Equations, 4

Hi, everyone. It's been such a tough cycle. As someone who is going to apply this fall, I would love to know how you guys think my chances are for T20. Thank you everyone for your comments. Type of Undergrad: Small private undergrad USNEWS T20 (T50 grad econ department tho) Undergrad GPA: 3.78 Type of Grad: NA Grad GPA: NA GRE: 165v+170q+4.5aw Math Courses: Analysis I and II (both As), Econ Stats(A), Intro to Proofs (A), Linear Algebra(A-), Cal I-III (As), Regression Analysis (A), Grad level Real Analysis (plan for next semester) Econ Courses: Intermediate Micro and Macro (both As), Econometrics (A), Labor(A), International Trade(A-), International Finance(A-), Game Theory(A-), Independent Research Course(A), Senior Thesis(A), PhD level Micro and Metrics (plan for next semester) Other Courses: many government/political economy courses Letters of Recommendation: 1 math department chair prof (took analysis courses for 3 semesters), 1 IMF economist I ra for, 1 labor econ prof Research Experience: 2 independent research (1 from independent research course, 1 for senior thesis), RA for IMF International Economist, 2 non-econ social sciences ra Teaching Experience: 1.5 years of language TA Research Interests: Labor Econ/ International Econ/ Political Econ Coming from a school that specializes in political econ, I am worried about the math background, so I feel like I should ask my math prof to write one rec letter. I would also love to hear how you guys think. Besides, do you guys think a 2 year predoc is worth it if aiming for T10? Thank you everyone for your comments!

I’ve taken the PhD sequence in Micro and Metrics at my unranked university and received A’s. Textbooks were Greene and Wooldridge for Metrics and MWG for Micro. As for math, I’ve taken multivariate calculus, Linear Alg I-II, Diff Eq, Probability, Math Stats, Real Analysis I-II, Set Theory, Topology, and grad lebesgue theory. (A’s in all classes). For research, I've RA'ed for a few years with two professors and did a senior thesis on an empirical topic. I'm graduating with a B.S. in Mathematics and Economics. During my pre-doc RA stint at a Fed bank, I have the opportunity to take some courses at a T40 program. If you could pick two courses from below, what would you advise? My interests are in Micro and Metrics. Grad topology Grad functional analysis Grad complex analysis Measure theoretic probability Abstract Algebra PhD Micro I (again, but this time at a better institution) Other (something else)

PROFILE: Type of Undergrad: B.B.A. in accounting from large state university Undergrad GPA: 2.32 Undergrad GPA last 60 hrs: 3.93 Type of Grad: M.S. in accounting from same state university Grad GPA: 3.90 Type of 2nd Grad: M.P.P. from top-ranked public university Grad GPA: 3.84 currently - exp graduation 05/21 GMAT: 44V 47Q - approx equiv to GRE: 168V 165Q, plan to take next summer Math Courses: calculus 1-3 (A), linear algebra (A), business statistics (B), applied stats & optimization (A), business calculus (B) Undergrad Econ Courses: intermediate micro/macro (A), business economics (B), international economics (A), quantitative analysis (A) Grad Econ Courses: history of economic thought (B+), micro (A-), macro (A+), quant analysis (A-), international development economics (A+), econometrics I (A+), econometrics II (A) Letters of Recommendation: two relatively strong letters from respected econ professors at current program who can speak to research I've done in their classes, one very strong letter from previous boss who is partner at CPA firm Teaching Experience: n/a Professional License: CPA - 3 yrs private sector employment at regional firm Research Experience: no RA experience. several graduate research projects and papers, extensive use of STATA and econometric analysis Research Interests: Public Policy, Labor, Monetary Policy My undergrad GPA is cringeworthy, I know. I had a serious injury my junior year that left me in a wheelchair and changed my priorities a bit. Theres a clear shift in my grades post-injury, so anyone looking at my transcript would easily notice the medical withdrawal, gap years, then mostly all As after. But Im worried that the cumulative GPA will be an automatic rejection in the first round of sorting/cutoffs at most schools. I'm applying for RA positions in the DMV area now, hoping to get some experience at the FRB or a think tank in the area to add to my application. I'm also taking math classes online through IU's CITL program, planning on having real analysis, differential equations, and a proof class or two done before applying. Maybe some statistics as well. Questions: 1) What type of schools should I target? 2) How irredeemable is the undergrad GPA? I've got some mitigating factors like the grades trending up post-injury, private sector work experience and professional license, and the graduate degrees but I'm not sure how much weight these carry. 3) Mostly, though: what can I do to improve my application? Is taking any extra math classes worth it? Or are grad econ classes more important?

PROFILE: Type of Undergrad: BS Math and Economics at USNews Top-70 Private undergrad and Econ Department Cumulative GPA: 3.87 out of 4.0 GRE: 167 Q/164 V/5.0 AWA Math Courses: Calculus 1-3 (AP, A, A), Linear Algebra (A), Intro to Proofs (B+), Real Analysis (A), Complex Analysis (A), ODE (A-), PDE (B+), Numerical Analysis (A), Math Modeling (A), Math Logic (A), Upper-level Elective (A-), Intro Stats (A) Econ Courses: Intro Micro/Macro (A, A), Intermediate Micro/Macro (mathematical track) (A-, A-), Mathematical Economics (A), Econometrics (A), International Economic Theory (A), Game Theory (A), Econ Development (A-), Financial Economics (A), Upper-level Elective (A), Thesis (A) Letters of Recommendation: 1) Undergraduate Thesis Advisor, top-5 Econ, should be strong 2) Economist I RA'ed for at FRB, top-5 Econ, strongest of the 3, potential co-authorship (in progress) 3) Another Economist I RA'ed for at FRB, top 15-ish(?) non-US Econ PhD, should also be strong Research Experience: UG Thesis, 2 years at FRB Teaching Experience: None Work Experience: Worked for a year doing software development type stuff and now at the FRB Programming skills: R, Matlab, Stata, Python Questions: ​ I'd preferably like to apply widely in the 5-30 range, targeting Cornell/Duke. Does this seem reasonable given my current profile? One area of improvement is my GRE Q score, but from browsing this forum a 167 might be sufficient/not a cause for concern. I didn't study very much, so I think that a 168+ is very reasonable. Additionally, would grad-level Econ courses (specifically Econometrics)/additional math be beneficial?

Hi, I'm a transfer student from an unknown university in Asia and have been at a U.S. public university for two years. Could you please help me do a profile evaluation? Thanks in advance! PROFILE: Type of Undergrad: Top 20 Econ Department, Econ double Math with Stat minor. Econ major at the unknown university in Asia. Cumulative GPA: 4.0/4.0 Cumulative GPA at previous university: 3.5/5 GRE: Haven't taken yet. Probably get 168+Q and 155+ V. Math Courses: Linear Algebra (A), Multivariable calculus (A), Probability I/II (A), Intro to proof (A), Mathematical analysis (Baby Rudin) (IP) Econ Courses: Intermediate Microeconomics & Macroeconomics (A), Trade (A), Cost-Benefit Analysis (A), Econometrics(IP), Micro Analysis I/II (IP), Development (IP) Other Courses: C++(A), Regression analysis (A) All courses above are taken in the U.S. Letters of Recommendation: 1) Chairman of the department. Have taken classes and RAed for 2 semesters. 2) Instructor of the Micro Analysis. Full Professor. 3) New Assistant Professor at an overall top 40 university (unranked in Econ). She graduated from our department and I am doing research with her at present. Research Experience: One year of RA experience in the department. Teaching Experience: TAed 3 semesters for the Intermediate Macro. Programming skills: Python, C++, R, Latex, Stata Other: Awarded a scholarship from the Econ Department. I wish to receive an offer from a top 20 or top 30 graduate schools. Do you think it is reasonable? Thanks again for your advice!

Type of Undergrad: Unknown East Asia university with honors in Econ and Math Undergrad GPA: 4.09(overall) 4.5(Econ) 4.3(Math) Type of Graduate: Top2 university in my country Graduate GPA: 4.1(overall) TOEFL: 24 22 20 21 :( GRE: 146/161/3.0 :( Math Courses: Calculus1, 2(A+, A+), Linear algebra1, 2(A+, A), Analysis1, 2 (A, A+), Basic Statistics (A+), Probability & Mathematical statistics (A+), Topology1 (A), Complex analysis (A+), Ordinary differential equations (A+), Discrete mathematics (A), Insurance mathematics (A+), and Number theory (A+), and so on. Econ Courses Undergrad: (All A+) Principles of economics 1,2, Micro, Macro, Economic statistics, Mathematics for economics, Econometrics, Growth, International trade, Public, and so on. Econ Courses MA: Microeconomics1 (A+), Macroeconomics1 (A), Econometrics1 (A), Time series analysis (A), Microeconometrics(A), Advanced microeconometrics(A+), Panel data analysis (A+), and so on. Other courses: Advanced computing with MATLAB (A+), Two R programming certificates (coursera) Research Experience: Thesis and another research paper Programming: R, MATLAB, Stata, and Latex. Teaching Experience: Undergrad mathematical statistics, undergrad econometrics. Weaknesses: Horrible GRE and TOEFL score.

Beginning Math camp in a few weeks. I spent a few years out of school, so I'm rusty on my Calc1-3 and Linear Algebra, although I'm starting to recap it now. My fear is about Real Analysis. If I get through Calc and Linear Algebra, then I plan to self-study Analysis. What's the best way to balance everything? I've been told two different ways of proceeding: 1) Carry on with Calc and LA, and self-study relevant RA as I go through the PhD. I.e. designate 1/2 hours in the evenings during the PhD to focus on Math. Will I have enough time on top of the existing material to do this? 2) Someone said do this course now instead of refreshing Calc and LA (which I can use Math camp for). However, will this course be too much for me? Any advice would be really appreciated. Thanks!

Hi guys, I just received letter grades for this semester and it's somewhat frustrating. Judging from the previous thread, it seems that a B for Real Analysis is quite critical, and it also happened to me... What makes problems worse is that it is not the only B. Could you guys give me some advice on what to do? Would taking grad math courses help? (yes, I am the one who recently posted a thread about taking grad math courses, but this time with a more critical issue...) Below is a detailed look on my math/stat courses taken: Calculus I,II (A,A), Linear Algebra I,II (A,A+), Analysis I,II (baby rudin; A,A), Intro to Probability (A), Mathematical Statistics (A), Differential Equations (B+), Numerical Analysis (B+), Stochastic Processes (A+), Applied Math (A+), Topology I (A), Real Analysis (Lebesgue measure; B+) That B+ for Real Analysis really breaks my heart...

Hey guys I am gonna apply next year but the thing is I have like no idea where to go from now. Just wondering if you guys can give me any advice on that please? Many Thanks! Type of Undergrad: UCL BSc Mathematics with Economics, Top 5 UK and Top 3 UK for Economics, graduation June 2020 GPA: 80+, First class honours GRE: 164 V/ 168 Q/ 4.5 AW Maths Courses: Analysis 1 and 2 (Sequences, Series, Continuous Functions, Differentiation, Riemann Integrations) Complex Analysis (Analysis 3), Real Analysis (Baby Rudin, Metric and Topological Spaces, Compactness, Continuity, ODEs） Measure Theory (To be taken) Measure Theoretic Probability (To be taken) Functional Analysis (To be taken) Methods 1 (Think US calculus 1) Methods 2 (Think Calculus 2/3 + Intro to Python) Methods 3 (Vector Calculus, Fourier Series, Calculus of Variation) Computational Methods (Numerical Techniques in numerical linear algebra, and the design, implementation and analysis of relevant algorithms, based on Python). I plan to take one or two further modules in that direction. Economics Course: Economics Combined Studies 1 (Intro and Intermediate Micro/Macro) (Full Year), Economics Combined Studies 2 (Intermediate Micro/Macro with the Micro portion based on Varian's Microeconomic Analysis). Research Experience: This would be the place that I am currently working on. I plan to do a thesis in Economics next academic year (full year). I have published two blog posts and one articles in UCL economics tribune, a peer reviewed Economics journal unknown internationally. I will also work in a research placement with an internationally well-known prof in Shanghai, China, in a top Chinese school. Recs: None of yet. I plan to get a rec from econ dissertation, a rec from the prof I would work with and a rec from a maths prof i will be working with in the third year. That is all for now, I would greatly appreciate it if you guys can provide some suggestions on the ways I can improve my profile. Thanks much!

Hi Guys As a newcomer to this forum, I just wanna say hi to everyone. Well I am not exactly new, I've been reading the posts for like ages. Okay Let's not further digress, below is my profile. Type of Undergrad: UCL BSc Mathematics with Economics, Top 5 UK and Top 3 UK for Economics, graduation June 2020 GPA: 80+, First class honours GRE: 164 V/ 168 Q/ 4.5 AW Maths Courses: Analysis 1 and 2 (Sequences, Series, Continuous Functions, Differentiation, Riemann Integrations) Complex Analysis (Analysis 3), Real Analysis (Baby Rudin, Metric and Topological Spaces, Compactness, Continuity, ODEs） Measure Theory (To be taken) Measure Theoretic Probability (To be taken) Functional Analysis (To be taken) Methods 1 (Think US calculus 1) Methods 2 (Think Calculus 2/3 + Intro to Python) Methods 3 (Vector Calculus, Fourier Series, Calculus of Variation) Computational Methods (Numerical Techniques in numerical linear algebra, and the design, implementation and analysis of relevant algorithms, based on Python). I plan to take one or two further modules in that direction. Economics Course: Economics Combined Studies 1 (Intro and Intermediate Micro/Macro) (Full Year), Economics Combined Studies 2 (Intermediate Micro/Macro with the Micro portion based on Varian's Microeconomic Analysis). Research Experience: This would be the place that I am currently working on. I plan to do a thesis in Economics next academic year (full year). I have published two blog posts and one articles in UCL economics tribune, a peer reviewed Economics journal unknown internationally. I will also work in a research placement with an internationally well-known prof in Shanghai, China, in a top Chinese school. Recs: None of yet. I plan to get a rec from econ dissertation, a rec from the prof I would work with and a rec from a maths prof i will be working with in the third year. That is all for now, I would greatly appreciate it if you guys can provide some suggestions on the ways I can improve my profile. Thanks much!

received offer from UC3M Econ Analysis with stipend+TAship and ULB MRes Econ (no funding). Interested in MicroEcon/Mathematical Econ. No decision yet. ULB: has a research topic course in first year, earlier access to research; better placement and more researchers in Micro; UC3M: funding; less courses to take in first year;

I am a final year undergrad student looking forward to applying for PhD probably in 2022. I was wondering if taking grad math courses (grad Real Analysis - Hilbert space, grad Probability - measure based prob theory) would enhance my chances. I have taken most of the relevant math courses (analysis, real analysis, topology, stochastic processes, etc) and I think I would most probably get at least A's from the grad courses as well. If so, should I take them, or would it be a waste of time? Always thank you for great advice (btw, I am looking forward to studying financial economics)

Hi, I'm an Asian (non-Chinese) looking forward to applying for Finance PhD in around 2022. I have concerns regarding taking grad math courses. Would taking grad Probability (measure-based prob) and grad Real Analysis (Hilbert Space) be of any help in the application process? The concern is due to my sub-optimal grades. Please see my profile below for your reference. I'm also open to Econ PhDs. Test Scores: (GRE) 170/163/5.0 (Q/V/W) Undegrad GPA: CGPA: 4.0/4.5 (3.7/4.0 if A+,A=4.0, B+,B=3.0, etc.) from a regionally well-known Asian university, Econ major. Econ Classes (advanced): Econometrics II (time series), Empirical Analysis of Policies (DiD, Matching, etc.), Game Theory, Intermediate Metrics (IV, Probit, etc.) Math&Stats Classes: Calc I,II (II being multivariate), Lin Alg I,II, Analysis I,II, ODE, Probability, Mathematical Statistics, Stochastic Processes, Numerical Analysis; the following are being taken this semester: Topology I, Real Analysis (measure), Applied Math (deep learning). Mostly A+ or As, except for the following: Game Theory (B+), Industrial Org (B), ODE (B+), Numerical Analysis (B+) Research Experience: A few undergrad-level papers, but none significant. Work Experience: 6m intern at an Asian global IB (Research) 3m intern at a major global IB (Risk) Others: I will be enrolled in MA Econ from the same University starting next semester. I have a high chance of getting TA-ships and RA-ships, which could hopefully boost my chances. Concerns: Gauging from the above profile, would taking grad math courses help my application? (I am pretty confident I can get A's) Also, what else could I do besides writing good papers in my Masters? What would be the most probable target schools that I can aim for? Thank you in advance.

Hello, I am an undergraduate at US. i have several questions regarding my course plan in the senior year, wish you can give me some suggestions, Thank you very much. 1. if I have attended math-camp, is it recommended to still take other math courses, like real analysis? i have already finished all preparation for real analysis, topology, stochastic process sequence, elementary probability sequence, financial math sequence. probably with partial differential equations and fourier series in this summer. 2. if i cannot take all phd_level courses(very likely), which courses are mostly recommended according to the difficulty level and signal effect to the admission committee? My interest is macro and my undergraduate electives are monetary econ, trade, information econ(auction, probability with signal). Moreover, I did not take undergraduate-level honor econometrics, so should i have better to take that before graduate econometrics? Thank you very much.

Type of Undergrad: Top 50 Liberal Arts Colleges, Econ+Math (double major), Political Science + History minors Undergrad GPA: 3.92 Type of Grad:n/a Grad GPA:n/a GRE: tbd (Non-US citizen) Math Courses: Diff Calculus (A), Int Calculus (A), Multivariable Calculus (B+), Logic & Proofs (A), Linear Algebra (A), Differential Equations (A) Probability Theory (A), Real Analysis (A) Econ Courses: Intro (A), Intermediate Macro (A-), Intermediate Micro (A), Statistical Analysis (A), Econometrics (A-), Development (A), International Financial (A), Crime (A), International Pol. Econ. (A), Education (B+) Letters of Recommendation: 1. Prof who taught me for 4 courses 2. Prof who was an RA for + econometrics + senior thesis 3. I haven't decided Research Experience: Will write senior thesis, RA for a year Teaching Experience: Tutor Concerns: A- in Econometrics + B+ in Education + B+ in Mult. Calculus during the same semester, when I had multiple deaths in my family. Would that hurt my application too much? What about coming from an LAC with no grad-level classes? Questions: Where should I be aiming? What schools in this range have a particularly strong program in Development/Labor?

PROFILE: Type of Undergrad: Top 2 Canadian University Undergrad GPA: 3.87 Type of Grad:n/a Grad GPA:n/a GRE: tbd Math Courses: Calculus (A), Multivariable Calc (A-), Linear Algebra I&II (A's), Probability and Statistics (A+), Real Analysis (A+), Differential Equations (A+), Topics in Abstract Math (basically a number theory course, B+), Functional Analysis (tbd), Complex analysis (tbd), Nonlinear optimization (tbd) Econ Courses: Intro Micro/Macro (A-,A), Intermediate Micro/Macro (A,A-), Game Theory (A-), Advanced Macro (A), Information Economics (A+), Market Design (B+), Behavioural Economics (A), Econometrics I (A+), Applied Regression Analysis (A), IO (tbd), Financial Econ I&II (tbd), Grad Micro (tbd), Econometrics II (tbd) Interests: IO, applied micro theory Letters of Recommendation: 1. Prof who taught me in 2 courses, will teach in grad micro 2. AP who I RA for 3. I haven't decided Research Experience: Will write senior thesis, RA for a year Concerns: B+ in Market Design, due to the pandemic a lot of the grade's weight was shifted onto an assignment I did not so well in even though I did well on the tests, but I do have the option to just designate it as a pass/fail so it wouldn't affect my gpa and the grade wouldn't show up on my transcript, but I am worried this would look worse than a B+ Questions: Where should I be aiming in terms of application?