Links
Statistical:
Statistical:
 Statistical Computing Resources at UCLA  Help for various computing packages (R, Stata, StatTransfer etc.), code redoing the examples of many popular textbooks, plenty of examples etc.
 Nathaniel Beck's homepage (NYU)  Quantitative Methods II has some good class notes, particularly on longitudinal data and maximum likelihood estimation
 Gary King's homepage (Harvard)  Plenty of useful stuff, including some STATA and R add ons; particularly interesting for missing data, causal inference, and anchoring vignettes

Jan BoxSteffensmeier (OSU)  The person not to miss on duration analysis. Also has a great book (with Bradford Jones) on the subject. The web site for their book, including some lecture notes, data sets, and STATA code can be found
here.
 Charles Franklin (Marquette)  Maximum Likelihood Estimation; good set of lecture notes [but sadly currently cannot find the website after his move to Marquette]
 Jeff Gill (Wash U)  Some good stuff on Bayesian statistics
 Simon Jackman (Stanford) Various lecture notes, nice section on Bayesian statistics
 Chris Zorn (Emory)  amazing lecture notes, can't locate his web site right now (after his move from Emory)
 Matt Golder (Penn State)  great MLE course modeled after Beck's (see above); provides links to various other lectures notes; quick overview for those looking for an overview of models beyond simple OLS
 William Greene (NYU)  Lecture notes from his grad course on panel data
 Paul Johnson (Kansas)  writeups for methods lecture notes, all available in pdf and lyx (with Sweave)
 Kieran Healy  Great resources for how to set up your workflow, which software to use etc. Wish I knew these things at the beginning of grad school.
 John Fox  Great resources for R (and Stata). Checkout the CAR package. Also, graphing interactions in R with the effects package.
 Development Economics  This is a great web site to gain an overview of the field of development economics; run by has short summaries of many papers; site maintained by LSE student Masayuki Kudamatsu
 Economics Lecture Notes  Great link page to lecture notes on Micro, Macro, Econometrics, Math for Econ, and some common software. May save you the occasional textbook.
 New Institutional Economics  Intro to an interesting field with a links to useful data sets, a reading list for newbies, as well as other resources