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Blanket

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Blanket last won the day on May 12 2022

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  1. Where in the Midwest? Chicago, Iowa City, Ann Arbor, Ames? The Midwest, like any other region, is not homogeneous in terms of COL. You're in for a tough five years if you care about $$$.
  2. NYU's stipend should be 21% higher than Wharton's Applied Econ program, Manhattan's COL is way, way, way, way higher than Philadelphia's.
  3. I think the above posters are underestimating your profile. Look up Econhead's profile. He has been admitted to #42 (USNWR) Purdue. If your thesis is legit, and your letter writers go to bat for you, then I think you can get a similar result if you apply in the fall.
  4. Test scores in non-math, non-econ courses are much less important than your letters of recommendation, mathematics grades, economics grades, GRE results, research experience, courses taken, and research fit.
  5. Would you rule UBC out because their academic placements are so good, and that path seems to be dominant over there?
  6. This is a forum for those who aspire to get a Ph.D in Economics. As such, our sights are set on research-oriented positions, and you won't find much useful information on Econ MA ---> Industry prospects here. Good luck.
  7. Lack of research experience is your only big flaw. Where did you apply?
  8. If you're super interested in policy, AU is probably your best bet. My understanding of the policy job market for Econ Ph.D's is that pedigree is very important (AU and UCSC offer you 0 points in that category) and DC helps a ton. Check past placements of AU Ph.D's. You may want to wait a cycle and try your hand at Georgetown or George Washington. Good luck.
  9. Oh, I'm fiecked! Thanks yankeefan. I appreciate it!
  10. Unfortunately, I'm a rising senior pressed for time. Beginning this summer through the spring semester of next year I will be taking: Calc III, Math Stats/Probability, Diff Eq, Real Analysis, four Economics courses (one proof based), and writing an Honors Thesis. So I can only pick one of the above two. Which would you take, if you had to choose? Thanks.
  11. Statistical Inference: Dennis D. Wackerly, William Mendenhall III, and Richard L. Scheaffer. ``Mathematical Statistics with Applications" (6th ed). Statistical Inference begins an integrated first course in mathematical statistics. The first half of the course covers probability and the last half is statistics, integrated with its probabilistic foundation. Specific topics include probability spaces, discrete and continuous random variables, methods for parameter estimation, confidence intervals, and hypothesis testing. Prerequisite: Calc II or its equivalent. Probability Theory: Grinstead and Snell, Introduction to Probability This class is an introduction to basic probability theory. Topics include discreteand continuous random variables, combinatorics, distributions and densities, expectation and correlations,and limit theorems. Applications to physics, engineering and other sciences will be presented throughout,and numerical simulations will be employed as a learning tool. I will emphasize the following three learningobjectives: being able to construct probabilistic models of concrete experiments, acquiring systematicproblem solving techniques, relating probabilistic concepts to previous mathematical knowledge. I alsoexpect students to improve on their ability to properly write Mathematics. Prerequisite: Calc III or its equivalent.
  12. I am interested in applied micro and can take one of two next semester.
  13. I don't know that student, of course. But working hard is not equal to, nor as effective as working smart.
  14. Boulder is one of the best cities to live in America, in my opinion. Yes you'll be working, but if you place value on where you'll be living then UC-Boulder wins.
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