Artificial intelligence (AI) is a popular topic in the media these days, and ChatGPT is, perhaps, the most well-known AI tool. I recently tweeted that I had written a Stata command called chatgpt for myself that runs ChatGPT. I promised to explain how I did it, so here is the explanation. Read more…
Stata Press is pleased to announce the release of Environmental Econometrics Using Stata by Christopher F. Baum and Stan Hurn. Read more…
Data management and data cleaning are critically important steps in any data analysis. Many of us learned this lesson the hard way. Have you ever fit a model that includes age as a covariate and forgotten to convert the missing value codes of -99 to missing values? I have. Or maybe you overlooked a data entry error that resulted in an age of 354 that should have been 54. I’ve done that too. Careful data management and cleaning can help us avoid these kinds of embarrassing mistakes.
I recently recorded a series of data management videos for the Stata Youtube Channel. You can click on the links below to watch the videos. I included topics that I think are important, but the list is far from exhaustive. If you would like to see videos on additional topics, please leave your suggestion in the comments below.
You can learn more about these topics and many others in the Data Management Reference Manual.