bigbros, I will gtfo immediately after requesting some advice on how much math I really need to get into a top 20 program. Assuming top 50 ug, and A's in math, how many math stats classes should you take on to be competitive?
How much math should you actually take?

Most economists today are regmonkeys (especially the young) so I would not worry to much about math unless you want to do theory/macro/i.o.
I always felt more at ease even as a reader of theory/macro/io after taking real analysis, like the reply from ages ago said.

It depends on what you want to do.
 If your at a true top 50, the path to top 20 is pretty clear.
1. Get Good Grades
2. Get Good GRE
3. Take class with Senior Professors in your school and impress them. Make sure you are the best student in the class. Let them no what your goals are, but don't be overbearing. They'll pay attention to you if you do well and they know if you're doing Ph.D.4. Math only ones that matter is multi calculus, Matrix Algebra and basic real analysis. Everything else is extra, but is useful depending on field. The idea is that you have a foundation to pick up more math, not that you know everything there is to know. Purely for admissions doing WELL in a grad level economics course at a top 50 school would count more than taking functional analysis.
Classes in order of usefulness : 1. Probability/ Math Stats/ stochastic processes 2. Numerical Methods 3. Differential Equations (macro/i.o.) 4. Further study of analysis (theory)
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