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Stata Technical Bulletin

Consider the following example data set:

. use example

. describe

Contains data from example.dta
Obs:	20	(max=	1107)
Vars :	7	(max=	99)
Width:	14	(max=	200)

1. id		int	Ж Og	Identification number
2. sex		int	%8.Og sex	Sex
3. activity		int	%8.0g activity Activity
4. age		int	Ж Og	Age
5. lost		int	%8.0g lost	Still in survey?
6. birth		int	%8.0g	Birth year
7. year		int	Ж Og	Year
Sorted by:
. list id sex		activity age
	id	sex	activity	age
1.	1	Male	nonactiv	22
2.	1	Male	selfemp	27
3.	1	Male	selfemp	39
4.	2	Female	nonactiv	19
ε.	3	Female	nonactiv	19
6.	3	Female	selfemp	22
7.	3	Female	waged	28
8.	4	Male	nonactiv	7
9.	4	Male	nonactiv	20
10.	4	Male	selfemp	23
11.	ε	Male	nonactiv	4
12.	ε	Male	waged	11
13.	ε	Male	nonactiv	22
14.	ε	Male	waged	2S
ιε.	6	Female	nonactiv	12
16.	6	Female	nonactiv	24
17.	6	Female	waged	27
18.	7	Female	nonactiv	24
19.	8	Female	nonactiv	16
20.	8	Female	nonactiv	39

This data set contains observations on eight individuals, identified by the variable id. The sex, work status (activity),
and age of each individual is recorded in the data set along with a variable (lost) that indicates whether the individual left the
sample for some reason. This data set also contains other variables that are used later in this insert. The data set is supplied on
the STB diskette.

The work status variable is coded as a ‘O’ when the individual is not-working (nonactiv), as a ‘1’ when the individual
is employed (waged), and as a ‘2’ when the individual is self-employed (selfemp). We can use censor to create a censoring
variable for the individual’s first entry into work:

. censor id age = activity==l ∣ activity==2, generate(jobi)

list id activity age jobl Tjobl
	id	activity	age	jobl	TjObl
1.	1	nonactiv	22	1	22
2.	1	selfemp	27
3.	1	selfemp	39
4.	2	nonactiv	19	0	19
ε.	3	nonactiv	19	1	19
6.	3	selfemp	22
7.	3	waged	28
8.	4	nonactiv	7	0	7
9.	4	nonactiv	20	1	20
10.	4	selfemp	23
11.	ε	nonactiv	4	1	4
12.	ε	waged	11
13.	ε	nonactiv	22
14.	ε	waged	26
ιε.	6	nonactiv	12	0	12
16.	6	nonactiv	24	1	24
17.	6	waged	27
18.	7	nonactiv	24	0	24
19.	8	nonactiV	16	0	16
20.	8	nonactiV	39	0	39

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