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  1. Stata For Mac Download
  2. Stata 16 For Mac
  3. Stata 15 Mac Download Free Version

Downloading Stata

1. Go to the Stata download site.

You will be greeted with the following screen:


2. Input your username and password in the prompt. You received these in your email from Metrika.
3. On the next screen, choose your operating system.

In this example, we have chosen a Mac installation.

4. Click on Stata17.dmg to download the disk image to your Downloads folder.

5. Once the disk image has finished downloading, open your Downloads folder and double-click on Stata17.dmg.

6. Double-click on Install Stata.

Stata For Mac Download

Next steps

Stata/MP is the fastest and largest edition of Stata. Virtually any current computer can take advantage of the advanced multiprocessing of Stata/MP. This includes the Intel i3, i5, i7, i9, Xeon, and Celeron, and AMD multi-core chips. On dual-core chips, Stata/MP runs 40% faster overall and 72% faster where it matters, on the time-consuming estimation commands. With more than two cores or processors, Stata/MP is even faster.

Stata/MP, Stata/SE, and Stata/BE all run on any machine, but Stata/MP runs faster. You can purchase a Stata/MP license for up to the number of cores on your machine (maximum is 64). For example, if your machine has eight cores, you can purchase a Stata/MP license for eight cores, four cores, or two cores.

Stata 15 Mac Download Free

Stata/MP can also analyse more data than any other edition of Stata. Stata/MP can analyse 10 to 20 billion observations given the current largest computers, and is ready to analyse up to 1 trillion observations once computer hardware catches up.

Stata 16 For Mac

Stata/SE and Stata/BE differ only in the data set size that each can analyse. Stata/SE and Stata/MP can fit models with more independent variables than Stata/BE (up to 10,998). Stata/SE can analyse up to 2 billion observations.

Stata 15 Mac Download Free Version

Stata/BE allows data sets with as many as 2,048 variables and 2 billion observations. Stata/BE can have at most 798 independent variables in a model.

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