GymShorts

There will be enough faculty to work with. Pitt made 3 hires this year, and they plan to make at least a couple next year as well.

It is my understanding that they did this so that they could offer more graduate level classes (for students in years 2-3) and so the school of A&S would let them hire more faculty. The chair said that they will not try to force anybody out, and that the 16 number will be the new target for years to come. They plan to take in 16, and hopefully graduate 16. I think they still plan to fund all 2nd years who don't have external funding.

This year Pittsburgh decided that it is now going to target 16 students a year instead of 10-12. Because of this, Pitt made more offers than normal. It appears they made more offers than necessary to get the 16. Since they have never had this problem in the past, I suspect that they did not prepare for this event. As a graduate student, I think the department has treated me very well and normally done a good job communicating with students. I am sorry to hear that that is not what happened in this case.

Look into classes at CUA. It has a metro stop on campus and is cheaper than Georgetown and GWU. The class sizes are small and the faculty is solid.

40,000 is a huge underestimate for GWU. It will probably be closer to 70,000.

I'm currently at Pitt. John Duffy is very available and accessible to graduate students. In fact, he encourages first years to come talk to him about research. If you wanted to work with Duffy, you could.

Go to Michigan State.

Pitt funds most but not all first year students. I know they made some last minute funding offers last year, so you still have a shot.

Pitt is probably the only school out of the three where you could seriously do experimental work. I believe Pitt is the only one with an experimental lab.

If UVA funds all second year students, I would pay your way through first year.

I think the biggest difference is the teaching load. At some lower ranked schools, you're expected to teach 5 classes a year; at some higher ranked schools, you only have to teach two. This obviously leaves a lot more time for other activities.

At my school: >3.5 = cum laude >3.7 = magna >3.9 = summa I graduated with several honors, but it probably won't matter for me since my admission cycle is over. Perhaps if I'm trying to get an RA position over the summer it will help.

I took nine econ classes and four finance classes that could have been labeled as economics.

I, on the other hand, got into every school where I mentioned a prof by name.

I think untitled's analysis deserves it's own subsection on Econospace. Or at the very least, a link.

Brag: A in Game Theory, Differential Equations, and International Finance. Beat: A- in Religion and Ecology :yuck:

Didn't she recently argue for the abolishment of Larry Summers? From public life, of course; not the planet.

If you read the literature in your career (you most likely will unless you work in the private sector, which case you still might), you'll find a lot of partial derivatives, which is Calc III at most schools. Most schools also only require up to calculus III if each course is 4 credits.

Georgetown, York U (MA), U Toronto (MA).

Am I the only one confused by YoungEconomist and young_economist?

Pitt at 39. Not too shabby.

Real analysis is a prerequisite to Measure and Integration Theory and Functional Analysis. I did not mention it because I already have it, and this was the sequence I was planning to do if I did attend.

I doubt all of them would give the same answer. Especially when many statistics programs allow you to take math classes. I was considering a statistics program and one possible sequence include the following classes: Mathematical statistics I Mathematics statistics II Measure and Integration Theory Functional Analysis Econometrics I (PhD) Econometrics II (PhD) Advanced Macro (PhD) Advanced Micro (PhD) Stochastic Processes I Stochastic Processes III don't think a single faculty member would call this coursework inferior preparation to a standard math MS. Another reason I prefer the stat is that many math MS programs require two semesters of abstract algebra, which won't help you at all.

Great post Jeeves. It does raise the obvious question though: What if I want to reapply in a year or two? What should I do then? If I were to do a masters before entering a PhD (I didn't), I think a Statistics MS would be best. I have two main reasons: A stat masters will make the econometrics sequences much easier. Not only will you do better in econometrics, but you'll probably be able to put more time into macro and micro, so you might do better in those classes. If you leave a PhD program with only an economics MA, hitting the private sector with a statistics MS and a economics MA is a great combination.Reason 2 is why I would prefer a statistics MS over a solid economics MA. Of course, funding could tip the scale in the other direction. Another great option is a RA position. Which is best, of course, depends on your situation.

Has anyone else not heard from Georgetown yet? It's April 17. Send me my rejection already.