for my thesis I'm slightly confused. So there are so many things I can add but I'm not sure if I should stick to one analysis or more than one. So originally if I'm using one instrument (the one I prefer) following a paper, can I use other instruments separately that were used by some other authors?

Also, I have datasets from different organisations that include the same info. Should I use the other dataset to check the robustness of my results? What about using some previous years data?

Thank you very much!

Got a B+ in my analysis class because I bombed an exam. I dont want to overreact but I feel very disheartened because I know its important for my future in grad apps for T10/T5 programs.

Would it rectify the subpar signal if I got an A in my next analysis class and phd micro?

Hello, I am currently planning on applying to a PHD in the fall. I come from a background in Finance and Risk management from what some on this platform would call a "shit" school. Initial plan was to be an actuary, math has always come relatively easy. Right out of undergrad I was studying for exams and met a economist. Two years later I am still working as there full time pre-doc/ RA/ TA. I think my work experience will speak worlds on an application plus Acquired 3 LOR from highly published economists from  top 10, however after looking at this forum over the summer I realized there are definitely some math deficiencies on my application. This Fall I finally got Calc 2 on the transcript and also took a graduate econometrics course. Received a A in both. Would it be more beneficial to my application to take the subsequent econometrics course with calc 3 or should I focus my efforts on other courses? Still working full time so I may only be able to squeeze in one more course before I apply next fall!

All feedback is greatly appreciated!

Hi, just like the title- I got into TSE for their M1 Econ program. I'm keen on research in Game Theory, IO, Public Econ and Theory.

TSE and PSE are my top schools and I would prefer Toulouse as a city over Paris, but PSE is also quite highly ranked. I'm a little confused and would love some advice! Thank you :)

Hi, I just wanted to ask something. I’m currently in my final year as an economics undergrad and I want to pursue a career in business analysis. Would transitioning to a master’s in data science after graduation be a good choice for me?

Currently in my third out of 4 years (3+ 1 year study abroad) at a T25 school. I will have to take a gap year since my second year grades were not a first cuz I slacked off for 90% of the year. I basically gave up on wanting to go into academia in the middle but found timeseries econometric theory to be very interesting. I am going to be self studying a adv. real analysis, metric spaces, and 2 graduate level econometrics course so I can take measure theory and functional analysis and maybe do an econometric theory undergrad thesis in my final year. So won’t be slacking off now and want to know what I can do in the one year in between to improve my chances. I might just live in Himachal Pradesh and do nothing for a year if I burnout.

Hi, I'm doing a project for school and I was wondering if you could fill out this questionnaire. Thanks a lot!

thema is about: "Solving inflationary problems from a marketing perspective"

link: https://www.survio.com/survey/d/E2Q9U1R8T6N8Z2R3L

Hello!

I recently started a Bachelor's degree in Economics and I really enjoy my Principles of Economics class but not so much Calculus and Statistics. I have very little interest in Math because of a previous Maths teacher in high school who discouraged students greatly. I understand that I I need those grades to pass my degree but I have no motivation to study those Maths questions I fear. I am so desperate to be good at school and Maths to be honest. I would really appreciate any tips anyone might have to get through the Maths and get good grades.

Thank you!

3rd year at the University of Warwick, I got a 2:1 (67%) overall in my second year and a 2:2 in one of my mathematical economics modules and am doing a study abroad at UPF so my degree is for 4 years. I just got a 6.6/10 in my stochastic processes module that I took from the engineering department here (I missed the first midterm which was incredibly easy or else I would’ve got a 7.9/10). I am thinking of taking a year off after graduating and lock in for 4th year since I can no longer apply to lse for a masters with a 2:1. I have taken linear algebra and real analysis in first year and got a first in both. I plan on taking linear algebra again in 3rd year just for funsies. I am taking a machine learning and a programming in python module as well this year. I wanted to know which universities I realistically have a shot of getting into for a masters and then for my phd. I am currently interested in metrics and micro theory. I just find it difficult to stick to a schedule so I end up missing like most of my lectures and seminars and just studying right before exams.

Hello, so I completed my undergraduate in Business Administration and Management and am now planning on Masters in Applied Economics, in this case will I have a good chance of getting into an Applied Economics PhD program without doing the usual mathematics courses that a usual PhD in Economics requires.

The thing is I was doing undergraduate in Economics but then I got a government scholarship to study in Hungary unfortunately there were no economics undergraduate majors in English which is why I opted for the business management degree. But then realized that Economics was kind of my true calling kinda shit.

Hello, so I’m applying to predocs, and I’ve never heard of a “sample writing” before. From what I’ve read, it’s a summary of a topic to demonstrate how you organize and express your thoughts.

What am I supposed to write?

I saw another job posting where it asked for some “sample” code, so maybe “sample” is the keyword here.

I’ve written an independent economics research outside of academics. It’s not perfect, but should I use that as a sample writing?”

Hi, I am writing a paragraph on the black Scholes model for school and wanted to post it here so it can be proofread and fact checked.

"To further develop my knowledge of modelling, I looked into the black Scholes model. I found it difficult to understand at first, particularly due to its reliance on stochastic processes, which I was unfamiliar with. This led me to study the basis of the model, geometric Brownian motion, learning that it allows for the change in stock prices to be modelled as a continuous time series with random fluctuations. I also investigated the model's assumptions, such as constant volatility, and was struck by a key limitation: it fails to account for sudden price movements, or "jumps". This became clear to me when analysing the 1987 Black Monday crash, where extreme market volatility and rapid price drops exposed the model's shortcomings. Recognising this made me appreciate the need for more realistic models, such as those incorporating jump diffusion or stochastic volatility."

I want to include something about Ito calculus around the second sentence. Any criticisms on content, vocabulary, flow etc are appreciated!

So I plan on doing masters in applied economics, I would be really grateful if I could get a list of the maths courses that I must do in order to be eligible to get into atleast a T100 Econ PhD program in the US or the UK. My bachelors was in Business Administration and Management

Hi all, I have always been very intrigued about finance and economics and have thought of getting a phd in economics since I was in undergraduate college. I decided to major in computer science in undergrad since I would gain more analytical skills and probably set myself apart from others. My goal was to always work in economics. Being an international student, I played it safe and now I am getting a masters in finance, set to graduate next year. I have no research experience but my grades are good, I have prior work experience in consulting after undergrad and I have professors and managers who are ready to write me LORs. Do I stand a chance or did I play it too safe and overthought my long term career when I was 18?

I moved to the US when I was 18, so all my higher education is stateside. I would target T50 schools in the US and I know which field of economics I would like to be in, have thought of a few research interests, have a university in mind and faculty I would like to work with.

Thank you for your advice!

Undergrad and GPA: math-econ double major at a T10 LAC (US), 3.95/4.00. I'm an international student if that makes any difference (Indian).

Coursework completed(all A's otherwise noted): multivariable calculus, linear algebra, ODE, econometrics, applied time series analysis, intermediate micro and macro, regression analysis, design of experiments (A-), Bayesian analysis and modeling, financial economics seminar, numerical analysis, real analysis, abstract algebra (A-), probability theory, mathematical statistics

Coursework planned: PhD micro and metrics (will get an A hopefully)

Research: RA for a not well-known professor at my home institution, T5 summer RA, full time predoc for two years at T2 (PI is T40 RePec)

Research interests: broadly interested in applied micro, looking at development/IO/health mostly.

The predoc trend nowadays is driving me crazy since I see so many accomplished applicants (publications and top predocs, on top of masters sometimes) don't get into T5.

So I just completed my undergraduate in Business Administration and Management and now I want to pursue a PhD in Economics, in this case if I do Masters in Applied Economics with a concentration in Econometrics, do I stand the chance of being accepted into a good Econ PhD program in the USA or even the UK.

I want ai for solving economics questions. Answers requires making curves and diagrams. Any suggestions

I’m a senior economics major from a developing country who want to pursue an Economics Master’s in the UK or Canada with a focus on econometrics. I plan to use it as a stepping stone to a good PhD. While I’ve taken all the math courses available to me at my university, my math background is not sufficient for a competitive program.

Here’s a quick rundown of my coursework:

• One "Advanced” Mathematics course, which covered basic calculus, some multivariable calculus, and linear algebra (briefly an all in one Math course).
• One introductory course in Probability & Statistics.
• One introductory course in Econometrics.
• One introductory course in Machine Learning.

Additionally, I have some brief research experience, where I mainly worked on modeling and data analysis under a professor.

My goal is applying to a rigorous master's program and I know I need to strengthen my math foundation. I’ve seen some comments here suggesting that taking courses through extension schools (like Harvard’s) could help, but some have mentioned that PhD admissions might not take such courses seriously. Does this also apply to master's programs? If so, what are the best ways for me to strengthen my math background before applying? If my thesis can demonstrate my econometrics skills, can it help?

I would appreciate any advice and insight. Thank you.

Essentially what the title says. My professors are having me write my LORs myself, and I was wondering if anyone here had any drafts or pointers or bullets for the content. I’m taking one from my undergrad thesis advisor, one from my econometrics professor, and another from my adv micro and institutions prof. What do I do! How do I go about writing these!

https://preview.redd.it/scr32r2cho6e1.png?width=786&format=png&auto=webp&s=424746f846544dcecbc807a495a9955597589abc

this is for advanced macroeconomics and its real business cycle theory

Throwaway to not identify myself. I'm making this post to gauge if I should just give up on a PhD because I won't get into anywhere decent or should I keep on going... the apps are so expensive and I fear I won't be competitive...

Okay so I love love love economics. I love research and have had my eyes set on a PhD in econ since the beginning of undergrad because it deeply aligns with what I want to contribute to the world. The idea of contributing to human knowledge through a PhD and academia, especially in the field I want to do research in (sort of policy-oriented too), excites me more than anything. In my area of research, I've had a lot of different experiences (policy, hands-on work with affected population, my thesis, industry, etc.) so I have a very clear "narrative" for my personal statement on why the PhD.

Throughout undergrad, I was an RA/research fellow on some projects here and there. I wrote a senior thesis in econ that won awards in my college. I went to a large "public ivy" university, T25 for econ. The fall semester of my senior year we had just come back from all online COVID classes and I made a B+ in Econometrics (awful, I know). I didn't do well in my other classes that semester (made Bs), otherwise all of my semesters are straight As (like in econ stats, micro theory, etc) and I graduated with ~3.85 GPA. I also have personal reasons for why I didn't do too well that semester--I started on a new medication that severely affected my performance in classes and I struggled a lot personally that semester. I also dropped Calc II at my university in a different semester and took it at a community college (made an A but still a bad look).

The B+ in metrics and dropping calc II are probably the worst things on my resume. After graduating, I worked in industry for a couple years (doing software dev/data analysis stuff) and am now a predoc at a T5 ivy league university. I have an opportunity in my role to get co-authorship with a very senior prof, and my other PI is a very senior/esteemed prof who has had phenomenal placements for his previous predocs. So my rec letters are as good as I can get them.

Finally, I didn't take Calc III, linear alg, or real analysis in undergrad. I am taking these courses at the university I currently work at and am probably going to make As in all of the classes. They are very challenging but I understand to "make up" for what's lacking on my transcript I need to make As, especially at such a great ivy school.

Academic economists my question to you is: is my education background too weak here? Assuming I have a stellar writing sample, rec letters, As in these upper level math courses, and awards for my research, does the B+ in metrics hurt my chances as bad as I'm fearing it will? Do I have any chance in T10, or should my sights be more on T30? I'll be applying next year for econ programs, and will likely also apply to some econ-focused public policy programs.

I have an upcoming interview for a research assistant position where the project focuses on analyzing the relationship between environmental health and economic activity. The work involves econometric modeling, working with data on production, stock prices, and regional surveys, as well as some risk analysis.

The interviewer seems interested in gauging my understanding of modeling methods, software proficiency, and experience with risk assessments. What kind of technical or conceptual questions should I expect? I’m trying to prepare for both specific modeling questions and broader ones about my approach to research. Any tips or suggestions would be appreciated!

Hello. Any papers that model the racial discrimination in the labour market from the perspective of incomplete information/self-fulfilling prophecies etc. Thank you

Do you think it is better to be a research assistant for one professor for a longer period or to many professors for shorter periods during undergrad to maximize learning?

I see a lot of posts from students in the us who have taken several econonimetric and maths courses and I’m getting nervous about my courses. My bachelor is only three years so of course that makes a difference, but I’ve only had one math course and one econometrics course and I have not had the option to take more.

I study in Sweden, at Lund, and our program is pretty much decided for us, besides one free semester, when most people go abroad, and three electives. But none of the electives are math or econometrics.

So I’m wondering, how long are the courses for American undergrads? We usually study four courses per semester, so my econometrics course for example is equal to five weeks of full time study. Anyone know how admission for MA or PhD programs in the US translate that into the different courses abroad?

Adding that I’m not planning to apply to a PhD directly. I’ll do at least a master first but even then, if I stay in Lund, I have 12 courses in total during the program so I will not have several math courses per year

I understand this may be against the ethos of this sub and am happy for the mods to take this post down.

I'm doing my postgrad in economics and am faced with a tough challenge. I am to be submitting a paper analyzing a policy using regression discontinuity in 10 days. Due to certain health related factors, I find my ability to find a satisfactory policy (and subsequently a good dataset) quite impaired.

I'd love to get some help from folk in this sub to settle on a decent enough thesis statement so that I can finally get started. It doesn't have to be seminal or groundbreaking. As long as it's not a direct replication or unnecessary extension of literature, I'm happy to work with it.

I'd like to stress that this paper is for a university course submission, and not for publication.

Looking forward to any and all ideas. Thanks.

I have an undergrad degree but in finance from one of the better non-ivy business schools. I graduated 2 years ago and have yet to start my career due to health issues I’ve unexpectedly had to deal with. Grateful to say that I’m healthy again and on the job hunt for some sort of investment analyst position. One thing I’ve learned about myself the past two years is how much I love to learn. The current innovations happening with AI, software, and tech really excitements me and I enjoy staying up to date and reading about these topics. That coupled with not doing nearly as well as I could’ve in my undergrad has led me to want to pursue my masters. Would it make sense (given my circumstances and what I’ve mentioned above) to pursue a dual ms in data science and economics? If so what are good programs that offer a dual degree (that I could realistically get accepted into)? How should I go about doing so? Any feedback would be helpful.

Hi, does anyone know what is the difference between those 2 programmes? One can apply to them separately but they have the same coursework. Moreover, since one needs to re-apply for M2 it seems as if it wouldn't matter which one you get into. Does going into M1 Applied economics restrict your options in some way?