1) What is the income tax rate for stipend, and what percentage of my stipend will be my net stipend? I guess that this tax rate depends on the total stipend. If this is the case, what would be my approximate net stipend in case of 26k$, 30k$, 34k$ and 38k$ stipend?

2) Some universities say that their yearly stipend is for 10 months. Does this mean that the remaining 2-months time will be holiday? If so, can I work in this 2-months period (either at the university as RA or outside) to earn some more revenue? Thank you very much in advance. ]]>

I got an offer of 30k at Harvard and 38k at Yale and I'm interested in applied micro stuff at the moment, mostly development or labor. This will likely change though.

I was able to visit Harvard which was really helpful but unfortunately I can't make Yale's visiting day so I'm feeling like I might be artificially swayed towards Harvard at the moment.

Any info comparing the two programs would be very helpful! Thanks in advance! ]]>

First, math background. There are math courses which I have taken:

Advanced Mathematics B I (A)

Advanced Mathematics B II (A-)

Linear Algebra (A)

Probability Theory and Mathematical Statistics (A)

Statistics (B+)

(A is the highest score level, we don’t have A+)

And Advanced Mathematics B I & II cover single variable differential and integral calculus, multivariable calculus, ordinary differential equation and basic knowledge of space analytic geometry. However, I know that such kind of math curriculum in US is classified into different courses, like Calculus 1, 2, 3 and Differential Equations. Therefore I am wondering how these two courses will be evaluated during application. Will they be thought of equal as Calculus courses + Differential Equation in US?

And I am to take Real Analysis next semester, but I am not sure whether I should also take the following classes:

Adv. Calculus I – Vector Calculus

Function Theory of a Complex Variable (Complex Analysis)

Honors Mathematics B (Group, Orthogonal functions and Fourier series, Riemannian geometry of a surface)

Set Theory & Topology

Would someone be kind to provide some advice?

Second, as to recommendation letters, in my current programme, I know some lecturers and professors graduating from US universities, and these universities are also in my application list. Will recommendation letters from these lecturers and professors be helpful when I apply for universities that they graduated from?

Thanks a lot! > < ]]>

Start early. Way before your going to apply. Practice and start taking tests 25 weeks before applications are due so you have time to do 5. Plan on the fact you will take it five times or until you max out quant. Keep practicing and taking exams until you hit max.

Can't stress how important it is to max it out these days. Hundreds of econ phd applicants are already doing this. Imagine if filtering by "all who maxed out quant GRE" gives you literally hundreds of files, adcoms will start with that and not even bother to read the others. Maybe dip down to 95p but its easy to rank and filter by GRE, not so easy to do that with letter of recommendation or SOP or GPA-Institution combinations.

Also if you don't max it out it signals 1) you made one or two mistakes on 8th grade math but more importantly 2) you may not have the grit to keep trying 3) your not well informed on how things work

This is especially true for applied candidates that may not have crazy math or from countries less well known. More important than ever to get those triangle areas right and not trip up on the most trivial of barriers.

So while it seems overkill, (it is) we have basically found ourselves in a prisoners dilemma, now you've been warned. ]]>

- Calc III
- Linear Algebra
- A course dealing with Diff Eqs
- Probability
- Mathematical Statistics

Courses I have NOT taken:

- A serious proofs-oriented course, which I know is important for Real Analysis

I'd like to apply to econ Ph.D programs this fall, so I'd likely take Real Analysis this summer. I'm planning to take off time from work to fully dedicate myself to the course. I'm also planning to do some proof prep in the two weeks before the class.

Still, I don't know if that would be enough preparation. What do you think? ]]>

PROFILE:

1 from my academic advisor, professor of intermediate micro/behavioral, knows me well

1 from my intermediate macro/adv. macro professor, I survived his to-be-said hardest econ class on campus although personally I did not talk to him as much as I did to the other two professors

Other

MSc LSE (London, UK)

MA Sciences Po (Paris, FR)

M1 International Track TSE (Toulouse, FR)

MA Columbia (New York, US) ]]>

Thanks! ]]>

Summer between junior and senior year in undergrad, but it was mostly data inputting kind of research (while it was for econ professor that is creating a massive dataset). Nothing much here, though it was researching under econ professor in econ department.

Currently I'm doing a lot of empirical and theoretical work in financial economics, coding in Matlab, Stata, R, and C++. Coauthored an article, though not in an academic peer-reviewed journal. I'm expecting to coauthored another paper, which may (hopefully) be published in an academic journal. Total duration in this institution will probably be 2 years.

I'll also be leaving academia for 2 years to serve in a mandatory public service in my home country. Hence the earliest program that I can apply is 2021 Fall (I still have 1+ year in this institution). I'm worried that admission might think that my skills will be rusty after so many years.

I'm thinking of US 25-50, with 3-4 top 15 universities as my dream universities. Is my expectation and concerns well-grounded? With few more years down the road, what can I do to improve my chance? ]]>

I have been waitlisted at Northwestern. Do you know how long the list is and whether they tend to accept out of the waitlist from previous years? Will people with an offer most likely reject after the visit day 3th april? ]]>

I'm interested in doing research involving more structural modelling and don't want a lack of technical competency to be a barrier to that. I've heard from other PhD economists that many students without sufficient technical training in their experience make it through the first two year's of coursework but disproportionately choose more applied fields (Americans making up most of this camp). While I double majored in math and economics at a top undergraduate program, I didn't take any graduate coursework in econ and don't want a lack of familiarity with graduate coursework to limit which fields I could pursue. Am I overthinking this? ]]>

Is the consensus that Chicago wins in case of interests in macro-finance and Northwestern for micro-theory, IO, and development?

At the risk of frustrating participants in this discussion, I won't divulge why I'm interested in this question, but I'm sure it'll benefit a broader audience. ]]>

I'm currently finishing my B.Sc. in Economics at a good university in a European country, and I'm planning to apply for PhD programs in the US for either the 2018 or 2019 intake.

I've received offers from LSE, UCL, Warwick, SSE (all MSc Econ) and Cambridge (MPhil Econ) and am now trying to decide which one would best prepare me for PhD programs in the US. My interests are in applied microeconomics.

Does anyone have insights which of those programs is considered the strongest signal by admissions committees in the US (let's say TOP30) at the moment and dhow hard it is to actually obtain good enough grades at those universities to be competitive, setting aside all other parts of the application (RAships, LORs, etc.).

Thanks in advance, any input would be greatly appreciated! ]]>