PhD Public Policy - the math!

[ferd]

Hi all,

 

I was admitted to the PhD Public Policy (Econ focus) at Duke, which has a similar setup as any program in PP with a disciplinary focus. This was unexpected and exciting! But I'm a bit concerned about my math preparation. I took the calculus sequence through Calc III long ago (like 8 years ago) as part of my undergraduate econ degree, and have not had to do any real demanding math for a long time. For those at Duke or any similar program, how important was your math preparation? How much of it was delivered by the program via either a summer course or regular courses? I feel like my big gaps would be a review of calc 3 topics and my total lack of linear algebra. 

 

I've contacted the program as well with similar questions, but wanted to get answers from folks with first-hand experience. Thank you!

 

 

[hailmary]

Congratulations! 

 

UNC has a couple of books listed that are supposed to be good refreshers for their program: 

 

I need to brush up on my calculus and intermediate microeconomic theory. What books do you recommend that I review?

Even students with considerable background in calculus and microeconomic theory may benefit from reviewing these topics prior to their matriculation. We recommend that students purchase and review the following two books:

 

1. Chiang, A. and Wainwright, K. (2005). Fundamental Methods of Mathematical Economics, 4th Edition.
2. Nicholson, W. (2005) Microeconomic Theory: Basic Principles and Extensions, 9th Edition.

All matriculating PhD students will be required to take our Math Review Class during the two weeks prior to the initiation of Fall semester classes. For many applicants who have had Algebra II and Calculus some time ago, this course will be a sufficient review to prepare you for the program.

(http://publicpolicy.unc.edu/academics/graduate-program/faq/) 

 

Maybe take a look at those? 

[ferd]

Thanks! Per the program, for the econ focus, students are expected to have linear algebra and multivariate calculus. Differential equations and real analysis are encouraged.