Updating Results

Data Testing Firm

3.6
  • 500 - 1,000 employees

Duarte

Chief Technology Officer at Data Testing Firm

Computer Engineering (Added by Blessing) at University of Melbourne

A dummy variable is a variable that takes on the values 1 and 0; 1 means something is true (such as age < 25, sex is male, or in the category “very much”). Dummy variables are also called indicator variables. As we will see shortly, in most cases, if you use factor-variable notation, you do not need to create dummy variables. In cases where factor variables are not the answer, you may use generate to create one dummy variable at a time and tabulate to create a set of dummies at once. Using factor variables instead of generating dummy variables I have a discrete variable, size, that takes on discrete values from 0 to 4 . tabulate size size | Freq. Percent Cum. ------------+----------------------------------- miniature | 19 19.00 19.00 small | 37 37.00 56.00 normal | 30 30.00 86.00 large | 12 12.00 98.00 huge | 2 2.00 100.00 ------------+----------------------------------- Total | 100 100.00 If I want a dummy for all levels of size except for a comparison group or base level, I do not need to create 4 dummies. Using [U] factor variables, I may type . summarize i.size or use an estimator

A dummy variable is a variable that takes on the values 1 and 0; 1 means something is true (such as age < 25, sex is male, or in the category “very much”).

Dummy variables are also called indicator variables.

As we will see shortly, in most cases, if you use factor-variable notation, you do not need to create dummy variables.

In cases where factor variables are not the answer, you may use generate to create one dummy variable at a time and tabulate to create a set of dummies at once.

Using factor variables instead of generating dummy variables

I have a discrete variable, size, that takes on discrete values from 0 to 4

. tabulate size size | Freq. Percent Cum. ------------+----------------------------------- miniature | 19 19.00 19.00 small | 37 37.00 56.00 normal | 30 30.00 86.00 large | 12 12.00 98.00 huge | 2 2.00 100.00 ------------+----------------------------------- Total | 100 100.00

If I want a dummy for all levels of size except for a comparison group or base level, I do not need to create 4 dummies. Using [U] factor variables, I may type

. summarize i.size

or use an estimator