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Found 12 results

  1. 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.
  2. Hey there, looking for some advice if I should revise my list of PhD programs I'm planning to apply to. Want to know if I'm shooting too high/low or if there's some other schools I need to consider within my range. I completed undergrad in May, have been working full time to pay off student loans, delayed applying to grad schools to se if I'd be interested in the corporate world first. Decided I do want to pursue academia. Majors: Economics & Statistics (Large public, T100 Econ) GPA: 3.27 GRE:168Q, 160V, 4.5A Math: Calc I-III(A,A,C+), Linear Algebra(A), Differential Equations(A), Adv. Calc (Intro analysis, proofs)(B+), Prob theory & Stats theory (both A-), various other stats classes Econ: Intermediate micro/macro, environmental, Industrial Org, Econometrics I & II, Ag Econ, Economic Geography (mix A's and B's) Programming: R, STATA, Matlab, C++(one class) Research Experience: None LOR: 2 strong (1 from econ prof took a couple advanced courses with and did well, 1 from stats prof took mathematical stats sequence with; both have good relationships) 1 more generic deciding either dep chair, an econ prof, or math prof (neither super in depth or personal) Research Interests: Environmental/Resource Econ, Development, Labor, IO, Metrics Programs: UC Santa Cruz, CU Boulder, University of Tennessee, University of Kentucky, Georgia State, Emory, University of Arizona, University of Wyoming, NC State, University of Nevada - Reno, Colorado State, UC Davis ARE, University of Oregon I don't think any program is a safety, hoping to get into just one. I know my deficiencies are GPA and lack of research. Any of these that are moonshots and not worth the app fee? Any programs I should consider? My main criteria is being able to get funding and decent research interests match. Thanks!
  3. Hi! I'm thinking about pursuing an economics PhD! I'm from a public state school, graduated with a double major in Economics and Applied Math & Stats. I know I'm missing some math courses, but I was wondering how much of a deal-breaker that was. Type of Undergrad: Public State School (top 100 overall) Undergrad GPA: 4.0, didn't list grades assume A unless otherwise noted Type of Grad: n/a Grad GPA: n/a GRE: Haven't taken yet Math Courses (Undergrad):Calculus I/II (AP placement), Calculus III, Applied Linear Algebra, Probability Theory, Finite Mathematical Structures, Data Analysis, Operations Research: Determinist Models, Operations Research: Stochastic Models (P, during COVID), Mathematical Statistics (P, during COVID) *all classes are from applied math dept., not pure Math Courses (Grad) : n/a Econ Courses: Intro Micro/Macro, Intermediate Micro, Intermediate Micro, Econometrics, Industrial Organization, Money and Banking, Corporate Finance, International Economics, International Finance, Game Theory, Economic Development Other Courses: Computer Assisted Mathematical Problem Solving (pure math dept.) Letters of Recommendation: I'm assuming I can get three. One from prof's whose class I attended/TA'd for, one from thesis advisor whose many classes I was in, one from prof who I TA'd for and worked with closely during ECs Research Experience: undergrad thesis Teaching Experience: TA for Intermediate Micro, TA for Intermediate Macro Research Interests: Economic Development and related SOP: n/a What programs should I target? Should I even apply? Thanks!
  4. Test Scores (GMAT/GRE): Haven't taken yet, aiming for 165+ quant and verbal Undegrad GPA: 3.85 at an ivy in political science, minor in psychology Graduate GPA: N/A Research Experience: ~10 months of RA work with 3 professors at a top 5 business school. No relevant publications (only 1 in philosophy) Teaching Experience: 1 semester for a community service-based class Work Experience: summer internships at random schools, not really relevant Concentration Applying to: consumer behavior/behavioral marketing Number of programs planned to apply to: ~15 or so Dream Schools: Wharton (Penn), Stanford, Kellogg (Northwestern), Fuqua (Duke) Other Questions: What made you want to pursue a PhD? Love academia and interested in advancing general theories of human/consumer behavior. Hoping to frame my background in political science and TA experience for community service class as my motivation for possibly researching prosocial behavior Questions or concerns you have about your profile? Only formal stats experiences is a B in intro stats. Taking a PhD level marketing class in research methods next semester and have 3 computer science classes and 1 data science class under my belt (all A's), so hoping that can offset my lack of formal stats classes. Also concerned about not having any publications or co-authored papers in progress. I'm contributing significantly to the professors that I currently research with (e.g., helping formulate hypotheses, research methods, etc. in addition to lit reviews/data entry) so hopefully that should offset things via good LOR's? Any additional specific questions you may have:~
  5. Background: Apps are out, so I want to focus on preparing myself for the the first year of Econ programs, rather than stressing about which one I may or may not get into. For reference, I have been out of school for a couple of years working an industry job, and haven't had the opportunity to do much actual math since leaving undergrad. I'm worried that I will be behind at the start of programs if I don't refresh my math knowledge over the coming 7-8 months, even with a pre-program "boot camp". Let's assume for exposition that I have forgotten essentially everything Math and Statistics-related, including even some topics from single-variable Calculus. Some topics require only quick review, others more extensive (e.g. I spent 30 minutes today remembering how to do implicit differentiation and getting myself back to "exam ready" for that topic, but probably would want a few weeks to go back through my Real Analysis course). My current plan is to spend a small amount of time reviewing basic (single- and multi-variable) calculus, then moving on to a fuller review of more complex topics (bounded optimization, Rudin, ODE, etc.). Questions for the forum: What Math and Stat topics should I focus most on to prepare myself for the first year of Econ PhD? How would you go about self-studying to "get back up to speed" on the topics from 1? What are your favorite textbooks? Post textbooks or online resources to check out (e.g. Khan Academy), study strategies, etc. For Prob/Stats specifically, what is most important to review? I've been "reg monkeying" for 2+ years, so I'm confident on a lot of Metrics stuff, but have forgotten/grown rusty with more basic topics (I'm sure I would not do well on a "Combinations and Permutations" test, for example). Please also feel free to riff off of these questions however you wish. Any advice is highly appreciated! Thanks for any and all help, and best wishes for a stress-free application season! - Tenuki
  6. Hello, I will be applying for Masters and PhD programs in Economics. I am an Econ major and Math minor who has limited experience in truly theoretical math courses (I have taken real analysis and a course in probability theory). My question is whether I should take the second course in probability theory (with real analysis prerequisite) and complete the pairing, or a more applied upper-level course in time series analysis. For economics and econometrics graduate programs, I know theoretical courses are generally preferred but the time series course happens to be very pertinent to economics/econometrics so I am wondering which one would be looked upon better. The probability theory course is a 300 level (3rd year) while the time series course is a 400 level (4th year). I can get the same mark in both. Any thoughts are appreciated. Thank you very much.
  7. Hi all, I'm wondering what types of schools I should apply to for my Phd in Economics. A little bit about me: (note: I have not finished school yet and intend to take quite a few more math and econ classes) Double major in math and econ at a top 30 public school High GPA (3.95) Math coursework: Calc I, Calc II, Vector Calc, Differential Equations, Discrete Math, Number Theory, Stochastic Processes, Topology I and II, Analysis I and II, Math Stats, Graduate Probability, Applied Number Theory Econ coursework: Intro Micro, Intro Macro, Econ Stats, Micro Theory, Macro Theory, Game Theory, Econometrics I and II Will complete an honors thesis in economics. Research on an econ topic with guidance from a math faculty member TA for Econ Stats GRE: Verbal 167, Quant 162, Writing 5.0 (note: I intend to study and raise my quant score but I struggle with this test a lot) Some programming experience I want to study econometrics in graduate school. I hope to go to a top 30 school, but I understand my GRE scores are limiting. Please help me consider my options for graduate school applications. I also appreciate any feedback on how to strengthen my profile.
  8. I dont have any Advanced Econ courses in my pocket right now, and I probably won't have any before I go after PhD anyways. I know that there are a few Econ MA programs in the U.S. that offer some financial aid, which kinda helps me with my situation. If I apply for PhD for entry in Fall 2020 as an applicant with an Econ MA and Stats MA, does that signal well towards the adcom as I am adequately prepared?
  9. Hi Everyone, I got admitted to a PhD Program in OB(micro) for the Fall 2018 intake. I was wondering what advice people have in terms of preparing for the program? Is there anything you would have done before you started the program now that you are in the program? I have heard that its important to brush up on statistics and get familiar with structured equation modelling and multi-level. Can someone suggest good resources for brushing up on stats especially within the micro OB context? I was also told that its important to get familiar with a statistical software. I have used STATA before but my hunch is that most OB people don't use STATA. Is it worthwhile spending time to get comfortable with R or is it better to stick to SPSS? I was told by my program coordinator that the more ready I am in terms of stats and current issues in OB-research, the earlier I can get started on projects with faculty members. Thanks!
  10. 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?
  11. Hi my TM friends So I am a junior and I am taking an intro level probability and statistics course this semester. It is calculus&proof based, but still pretty easy.I felt like there are still many things need to learn, yet there is no other course to take at my tiny school. So my question is, what next? Given the long term goal that I want to be a good economist, and the short term goal that I want to get either good grad school admission or some RA job. Which part of statistics knowledge&skills will be most useful? Should I try to find textbook in Stochastic process or Time Series and teach myself, or should get my hands on practice programming skills, or study some econometric textbook on my own(econometric is not available to me neither )? I appreciate any help and suggestions I can get. :)
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