I'm doing a little post-mortem on this semesters first-year graduate macro class. I'm thinking about what I should be teaching in this course. The big meta-question is what is the right kind of material to be teaching? I see two perspectives here:
Maybe I should just trust that PhD programs have evolved towards the right solution, and focus on techniques. The cost of having someone incapable of using techniques is so high later on that it must be avoided at all costs. But there is a part of me that feels like techniques are always something that can be learned by force of effort later on. Screening out people who can't think without being given a specific math problem to do might be more useful.
Of course, if one does want to teach "big questions" to first-years, what are they?
For people who've done PhD's, or are doing them now. What do you *wish* you had learned in first-year macro. What would have been useful?
I am far too lazy to try and think of this all by myself, so I'm posting it here in the hopes that smart people will offer up some suggestions either way. Any ideas are appreciated, will be stolen without shame, and will probably sit unused for years as a scribbled note to myself under a pile of other things on my desk.