"O Data, Data! Wherefore Art Thou Missing?"

Here is a nice summary of all of the ways to address the missing data problem. All is great if it turns out that all of these techniques suggest that the missing data is missing at random. But which specification should you use as your baseline: The missing dummy trick or just drop missing observations? I usually just drop missing observations because it's simpler, Regardless of what you choose, it is important to discuss your results from the techniques discussed in the article (even if they suggest that the missings are not missing at random).

Stata Command for Using RD

I don't have a single RD paper, but hopefully in the future, I will. And when that time comes, I want to be prepared with the appropriate funky Stata commands. Here it is.

Something to Ponder...

Interpreting Coefficients in Models With Logs, Dichotomous Dependent Variables, etc.

I know, I know. It can get confusing. This is helpful. (HT: Bill Evans)

Let me know if the link ever stops working. 

Something to Read Every Now and Then

Favorite piece of advice: Don’t tie up too much of your self-esteem in someone else’s evaluation of your work. See more here. 

Standard Errors with Population Data

I can't say that I've ever used data on an entire population, but I thought this provided a really nice explanation of what we're doing with empirical work.

Is Rainfall the Perfect Instrument? Nope.

See here.