How To Make Indicator Variables In Stata

to indicator variables. 25.1.1 Converting continuous variables to indicator variables Stata treats logical expressions as taking on the values true or false, which it identies with the numbers 1 and 0 see U 13 Functions and expressions. For instance, if you have a continuous variable measuring a person's age and you wish to create an

Creating Indicator Variables in Stata Example from Appendix C4 includes Y GPA for 1st year, X 1 ACT test score taken before admission To create four indicator variables . xi i.Year i.Year _IYear_1996-2000 naturally coded _IYear_1996 omitted To create indicator variables and run the regression analysis at the same time

Let's talk about how to generate dummy variables in Stata. A dummy variable is also called a binary variable or an indicator variable. It takes on only two v

The make variable illustrates a problem lying just ahead, which is that many string values -- and for that matter all numeric values -- would be illegal variable names. Also, usually you only need one fewer indicator variable than there are categories, and in any case factor variable notation takes care of most such needs. Otherwise

There are two easy ways to create dummy variables in Stata. Let's begin with a simple dataset that has three levels of the variable group input group 1 1 2 3 2 2 1 3 3 end. We can create dummy variables using the tabulate command and the generate option, as shown below.

In Stata we can state something as true like below use the dummy variable without explicitly specifying the condition but with the variable name alone. Stata will know that it means if foreign 1 or if foreign 1. . list make if foreign . list make if foreign generate. One way to create a dummy variable is to use generate with an statement.

In a panel data set I have 3 variables name, week, and income. I would like to make an indicator variable that indicates initial weeks where income is 0. So say a person X has 0 income in the first 13 weeks, the indicator takes the value 1 the first 13 weeks, and is otherwise 0. The same procedure for person Y and so on.

A dummy variable is a variable that takes on the values 1 and 0 1 means something is true such as age lt 25, sex is male, or in the category quotvery muchquot. 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.

The specialized sense of a variable with values of 0 and 1 seems to grow out of the mathematical idea of an indicator function. See, for example, Zeitz 2007 for a friendly explanation of that and much else. In some parts of mathematics, the term quotcharacteristic functionquot has the same meaning, but for statistical people, that term is already used for a quite different function arising in

Indicator Binary Variables. A variable can be set to the result of a condition. If the condition is true the variable will get a 1, and if it is false the variable will get a 0. This makes it very easy to create indicator or binary variables, which tell you if something is true or not.