IrrationalActor

I did this for most of the year, as did probably about 25% of my classmates. It really does not take any more effort than taking notes with a simply pencil and paper, and uploading is very easy. The interface is not great and it is difficult to transfer across computers, but I thought it was a very good resource for going through during the semester to fill in some of the steps the professor skipped during class and to clarify things. They were not much help in studying for prelims though. They also aren't that expensive, you should be able to find the 1GB model for under $100, that is all you need, there is no point in getting a larger one. The notebooks and pen refills are also inexpensive.

I have his Macroeconomic Theory notes from 2002, but there are several sections that are unfinished. Is there an updated version?

It should be a useful class; I don't know if I would take it over econometrics, but honestly, 3/4 of each will probably be overlap; the regression class will spend time on ANOVA/model selection while econometrics will spend time on limited dependent models. SAS will be nice to know for grad school, especially if you want to get a job as an RA. It is great for large data sets.

I would recommend the math-stat class. I took both regression and econometrics as an undergrad and there was a lot of overlap. What book did you use for your regression class and what statistical package did you use? I think the main benefit from your econometrics class would be exposure to STATA or whatever software your prof decides to use.

Our first semester of metrics at Wisc was mathematical statistics (basically out of Casella Berger). If you are comfortable with probability density functions in integral form and certain things like maximum likelihood estimation, I think you should be fine. It's the same sort of dichotomy as higher level mathematics and micro/macro, it is nice to know, but not essential, and sometimes, it doesn't really help. I took 2 years of mathematical statistics in undergrad and still did relatively poorly in metrics. In math-stat, you will spend time doing things like deriving the various distributions (T,F,Chi-Square,etc), playing around with Gamma distributions, constructing kernels and the like. In metrics, you are more results driven-focusing on hypothesis testing and the like.

I'm just looking for any solutions in the GE/Game theory/Information Economics/Auctions area, so I guess chapters 5-9. I am practicing for prelims and prefer working these to MWG problems. Do you know of any open-access webpages that have a lot of the solutions?

Does anyone know if there is a solutions manual to jehle/reny? I have found various solutions across the internet, but nothing aggregated. (I am assuming it is not copyrighted since nothing is published, so I do not think asking this violates site rules) Reny's website links to this Welcome to the Jehle/Reny Plone — the Jehle/Reny Plone, and I applied for access a few weeks ago, but still haven't received a reply.

Sargent/Lundquist is not a good book for learning dynamic programming; unfortunately Stokey Lucas is really the only game in town for that. The DP stuff in Sargent is very computationally based Stokey-Lucas does a better job with the theory. Here is my TAs advice for studying from Sargent:

Hi everyone. I think it would be a good idea to compile a list of professors' (open access) websites that have valuable information. I'll start with Wisconsin. The two professors that have the most available are John Kennan (Micro) http://www.ssc.wisc.edu/~jkennan/teaching/teaching.htm There are a lot of old exams and under teaching (711) there is a long list of micro problems. Bruce Hansen (Metrics) http://www.ssc.wisc.edu/~bhansen/ also has a lot of old exams as well as a draft of his econometrics textbook. Outside of Wisconsin, I have found that John Cochrane has a lot of good information-especially his books on Asset Pricing and Time Series (if you can wade through the political commentary) http://faculty.chicagobooth.edu/john.cochrane/ Chris Sims also has a lot of macroeconometric type stuff and computer programs http://www.princeton.edu/~sims/

Thanks for the ideas everyone. I think I will take a look through Bewley, and then look at the rest. Black's book sounds interesting, but a little bit beyond the scope of preparing for prelims. I might check it out when I finish.

Best: Real Analysis-mainly because of the professor. I still use notes from his class to this day. It was in this class that I truly began to understand mathematical proofs. Worst: Calc III, mainly because it was a summer class at a community college and it was for some reason directed toward engineering students. We spent a lot of time talking about flux (I still have no idea what it is). To the above poster, this was the book I used in my analysis class Amazon.com: Elementary Real Analysis: Second Edition (2008) (9781434843678): Brian S. Thomson, Judith B. Bruckner, Andrew M. Bruckner: Books It is available online for $1. I think that it lends itself well to self study, but it does not have a solutions manual.

Does anyone know of a good reference text for Partial/General Equilibrium theory from a micro perspective (Edgeworth Boxes, Welfare Theorems, Arrow-Debreu, etc.)? I'm looking for something a bit more compact and clear than MWG.

I feel like the only person in the world who actually likes Hogg and Craig.:blush: Though, I did go through a year-long stats sequence in which we went through almost every example in the book. I found it more than adequate for any of the statistical inference I have done thus far and much easier to read than Casella-Berger.

You will most likely be teaching econ 101, so your appointment will be slightly higher because the class falls into some sort of special category (I don't remember exactly why). Your appointment will then either be 37.5% if you teach 3 sections or 44% if you teach 4 sections. It seemed like they just randomly chose who got what percentage appointment; the difference in pay is not much, but we all got more than the minimum.

There is a pretty active labor group with John Kennan, Chris Taber, Rasmus Lentz. I think that Ananth Seshadri does some work with growth. Most development work is done through the ag school and I don't know too much about it.