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Undergraduate - Top 5 Australian econ school Field : Major in Economics and Finance Undergraduate G.P.A - 6.97/7, university medal Economics courses (Undergrad) : Intro, Intermediate and Honours Level Micro and Macro - all 7s. Micro Policy (7), Macro Policy (7), Intro Metrics (7), Intermediate Metrics (7), Mathematical Economics (6) Maths courses (Undergrad): Advanced Calculus and Linear Algebra 1, Advanced Multivariate Calculus and Ord Differential Equations, Mathematical Analysis and Advanced Topics, Calc and Linear Algebra 2, Mathematical Probability, Applied Mathematical Analysis, Statistical Modelling - All 7s GRE: 169 Q LORS : 2 from thesis supervisors and 1 from summer RA at ANU. Advisors should be strong. Applying to : US top 20, Oxbridge and LSE. Top ARE programs Research/Teaching : Corporate Finance TA during uni. Honours thesis awarded undergraduate thesis prize. Concerns : Not too much guidance online regarding Australian applicants. How much would the 6 in math econ hurt me? Looking for : Looking to apply in the cycle at the end of 2022, is there any benefit to additional maths courses? Curious to gain some perspective on the range I should target and competitiveness for ARE programs as well. Any help would be much appreciated.

Undergraduate - Top 85 US in Economics & Finance Field : Major in Economics with Minor in Mathematics Undergraduate G.P.A - 3.91/4.00; Econ G.P.A. (4.00/4.00); Math G.P.A - (3.85/4.00) Economics courses (Undergrad) : Principles of Micro (A+), Principles of Macro (A+), Intermediate Micro (A+), Intermediate Macro (A), Public sector Economics(A), Environmental Econ (A+), Mathematical Economics (A+), Econometrics (A), Game Theory (A+), Mathematical Economics (A), International Trade (A), Industrial Organization (A+), International Finance (A+). Mathematics Courses (Undergrad): Calculus-I(A-), Calculus- II(A), Multivariable Calculus (A), Linear Algebra (A+), Theoretical Concepts of Calculus (A), Abstract Algebra(A), Differential Equations (B+), Probability (A), Mathematical Statistics (A-), Complex Variables (A) Graduate(completed this Fall-2021) - Phd-stream M.A.in Econ at Top-4 Canadian School (3.90/4.00 gpa) Graduate Courses (all Phd-level courses) : Mathematical Economics (84/100), Econometrics-I (94/100), Macro-theory-I (86/10), Micro-theory-I (90/100), Econometrics-II (85/100), Micro-theory-II (84/100), Advanced Research (90/100), Macro-theory-II (83/100) GRE: 168 Q 165 V 4.0 AWA ( will retake if necessary) LORS : Profs from graduate metrics class (Penn-state), graduate micro (Brown) and grad research course (Virginia)They know me well from their courses. Applying to : US TOP (25-50), Canada - Top 3 Phd and some back up ( McMaster, Mcgill, York) Research/Teaching : I have been teaching (mathematics and statistics to business students) in my home country since undergraduate.Worked on data analysis with a research institute..Was TA for Undergrad Micro and Macro at my MA institution. Concerns : There was a considerable gap between my Undergrad and MA (about 7 years).The work I did back home didn't entail much of research experience.Also, don't have perfect gpa at phd level courses. Looking for : Absolutely hardcore honest opinion where I have a chance, given the tough adcom cycles and my choppy profile and lack of research. Thanks so much to all of you:eager:

Type of Undergrad: BS in Math, BA in Economics from T50 state school (colorado) GPA: 3.99 GRE: 170Q/164V/6AW Math Courses: Calculus III, Linear Algebra, Real Analysis (2 semesters), Topology, Differential Equations, Probability, Mathematical Statistics, Abstract Algebra, Advanced Linear Algebra (all As) UG Econ Courses: Intermediate Micro, Intermediate Macro, Econometrics, Forecasting, International Trade, Game Theory, Industrial Organization (all As) Grad Econ Courses: Math for Econ (A-), Micro I (A), Econometrics I (A), Macro I (A) Letters of Recommendation: 1) Micro 1 teacher and research thesis advisor, 2) professor I research under, I did well in his advanced class, 3) tbd, but a teacher I have taken a more advanced class from Research Experience: Will have had 2.5 years of RAing under two professors + undergraduate thesis when all is done. Would appreciate advice on where you think I ought to aim my apps.

Hi all, I'm just trying to see how I should aim with my applications. Type of Undergrad: B.A. in Economics, B.A. in Math from Unranked Public State University (USA) Undergrad GPA: 4.0 Grad GPA/Concentration: N/A GRE: Q169 / V165 / AWA 6 Undergrad Econ Courses: Intermediate Micro, Intermediate Macro, Econometrics, Mathematical Economics, Game Theory Math Courses: Accelerated Multivariable Calc (A), Introduction to Proofs & Advanced Math (A), Mathematical Probability (A), Mathematical Statistics (A), Advanced Linear Algebra (A), Partial Differential Equations I (A), Real Analysis (A), Complex Analysis (A), Numerical Analysis (A) Graduate Econ Courses: Econometrics I (A), Micro Theory I (A), Mathematics for Economists (A) Programming: Proficient in R, Python, Stata. LORs: 1 from graduate chair whom I took a graduate class from, 1 from professor who I RA'ed for for 2 years and took another graduate class from, 1 from professor who serves as thesis advisor. Research Experience: 2.5 years RA experience under two professors; undergraduate empirical thesis (3 semesters). Questions: 1. Where should I aim? 2. How should I bolster my math side of things? 3. Weaknesses in application? 4. How can I remedy that I attend an unranked state school?

Hi guys, I'm aiming towards applying to Ph.D. program in economics in the U.S. (think top 20). Type of Undergrad: BS in Economics (Best Economics department in Bangladesh) Undergrad GPA: 3.85+ / 4.0 Math Courses: Mathematical Statistics (A) Mathematical Programming (A) Mathematical Economics (A) Engineering Mathematics (A) Engineering Statistics (A) Applied Mathematics for Economists I (A) Applied Mathematics for Economists II (A) Linear Algebra (A-) Calculus III (A) Calculus II (B+) Calculus I (A) Econ courses: Microeconomics I (B+), Microeconomics II (A), Macroeconomics I (A-), Macroeconomics II (A), Econometrics (A-), Labor Economics (B+), Urban Economics (A-), Industrial Organization (A), Environmental Economics (A), Game Theory (A) GRE: V 165+ / Q 170 / W 5 IELTS: 8.5 (minimum band score) Research Experience: Final year research in electricity market, published in top 20 IDEAS RePEc Teaching Experience: A levels Mathematics SOP: Confident Letters of Recommendation: Confident; my final year thesis supervisor, one pretty recognized professor I did most my higher level courses with, a math professor pretty well known to the engineering community Research Interests: Microeconomic Theory, Mathematical Economics, Econometrics I especially want the following programs/schools: UChicago, Duke, Yale, UPenn, NYU, Austin, Cornell, Brown Duke's MS in Economics and Computation (2018-19) NYU's MS in Computational Science (2018-19) Austin's MA in Economics (2018-19)

I am now deciding between which 2 of the following 3 courses to take 1) Optimisation Theory: Unconstrained and equality optimization models, constrained problems, optimality conditions for constrained extrema, convex sets and functions, duality in nonlinear convex programming, descent methods, conjugate direction methods and quasi-Newton methods. Textbook: "S. Boyd and L. Vandenberghe, Convex Optimization, Cambridge University Press, 2004." 2) Real Analysis: This is an introductory course on the Lebesgue integration theory on real line. Topics include: measurable sets, measurable functions, Lebesgue integral, Fatou's lemma, monotone convergence theorem, Lebesgue dominated convergence theorem and differentiation. Textbook: Real Analysis by H.L. Royden 3) Mathematical Economics (offered by Econ Department, and the grading is more lenient): This course discusses basic tools in mathematical analysis and their applications to mathematical economics. Mathematical topics include sets, functions, sequences, continuity, open sets, closed sets, compact sets, maximum existence theorem, separating hyperplanes, and fixed points. Economic topics include preference, utility, demand, competitive equilibrium, and Pareto optimality Textbook: Lecture notes by professor I have taken Calculus I to III, Linear Algebra, ODE, Probability, Basic Real Analysis, Stochastic Processes, Stochastic Calculus. I am interested in doing macro/finance stuffs (probably theory). I am quite interested in (2) as I quite enjoy Basic Real Analysis and Measure seems necessary for theory. (3) is in fact a good choice since it covers lots of topics including optimisation and fixed points, but it may seem less sophisticated. That's why I am struggling between these courses, particularly (1) and (3). Does anybody have some thoughts on this. Thanks a lot!!!!!!

Profile (International) Undergraduate - Top 80 US in Economics & Finance Field : Major in Economics with Minor in Mathematics Undergraduate G.P.A - 3.91/4.00; Econ G.P.A. (4.00/4.00); Math G.P.A - (3.85/4.00) Economics courses (Undergrad) : Principles of Micro (A+), Principles of Macro (A+), Intermediate Micro (A+), Intermediate Macro (A), Public sector Economics(A), Environmental Econ (A+), Mathematical Economics (A+), Econometrics (A), Game Theory (A+), Mathematical Economics (A), International Trade (A), Industrial Organization (A+), International Finance (A+). Mathematics Courses (Undergrad): Calculus-I(A-), Calculus- II(A), Multivariable Calculus (A), Linear Algebra (A+), Intro to Real Analysis (A), Abstract Algebra(A), Differential Equations (B+), Probability (A), Mathematical Statistics (A-), Complex Variables (A) Graduate - M.A. at Top-1 Canadian School (M.A. starting this Fall) Graduate Courses taking this Fall : Mathematical Economics, Econometrics, Macro-theory, Micro-theory Expected Grades : A+/A - will give my best shot :) GRE: 167 Q 162 V 4.0 AWA ( will retake if necessary) LORS : Expecting to get them from professors after 1st term at the M.A. program. Two from M.I.T and one from Yale. Applying to : US TOP-15, Canada - Top 4 Phd next cycle (2019). Research/Teaching : I have been teaching (mathematics and statistics to business students) in my home country since undergraduate.Worked on data analysis with some firms. Concerns : I have been out of school for a long time since my undergraduate. My LOR'S were very weak when I applied to the M.A. program because my professors barely remembered me in my undergrad institution since it had been so long.Planning to make that right during the M.A. program. Also rank of my undergraduate institution at Economics is not that great.Also not so strong GRE scores and lack of research experience. Advice Seeking : Is Top-15 US too much of a stretch? Do I have a chance if I do well in my M.A. program ? Hopefully LORS will be great this time. Also, do I need to retake the GRE to be competitive? Any advice or suggestions will be highly regarded and appreciated.

I have looked course lists and got questions on mathematical stats 1 course. It seems quite hard one as it uses Shao’s book. How did you find this course in terms of difficulty. I was thinking of studying Simon&Blume Math for economists, De La Fuente math book and intro to mathematical stats by Hogg only. Should I go for more math and stats textbooks to follow the course without any problems?