Hello, everyone:
Although time does not permit, you can read the following, if any of you
are interested in studying in the graduate school of the field of economics
or related disciplines. Those courses are aimed for drilling your techniques.
Basics (helpful for your studying in MA):
1. Programming ability like C++
A familiarity of a computer program helps you master Stata, SAS or Matlab,
for it provides you an understanding of the language of a computer. An
ability to communicate with your PC nowaday becomes indispensable when you
have to do either empirical or theoretical research (e.g., calibration in
macro.) in any field.
2. Linear algebra/ Ordinary differential equation and partial differential
equation (ODE & PDE).
The quickest way to learn mathematics may be to learn them from the college
of science, the college of engineering, or the college of electronic
engineering and information. For example, a sequence of engineering
mathematics divided by three semesters includes: linear algebra for one, ODE
and PDE for another, and complex function theory for the other. Though
mathematics wont come as handy as programming, I recommand those for they are
so much fundamental disciplines that you should take them as your general
education like the role played by calculus. BTW, linear algebra should
go first.
3. Econometrics and advanced statistics.
Give mathematical statistics by S.S. Chen a try!
Go back to learn econometrics (Statistics II) by M.C. Luoh this semester.
The former provides tools for econometrics, the latter teaches you
what under-graduate econometrics is and how to conduct an empirical
study in half year.
TA of econometrics by J.T. Liu
http://r96323008ntu.blogspot.com/
Ref:
http://gregmankiw.blogspot.com/2006/05/which-math-courses.html
※ 編輯: justplay 來自: 140.112.200.22 (01/19 21:55)