The name is absent

26

Stata Technical Bulletin

STB-22

	id	activity	age	birth	year	grage
1.	1	nonactiv	22	54	76	-25
2.	1	selfemp	26	54	81	-25
3.	1	selfemp	26	54	81	[25-26
4.	1	selfemp	27	54	81	[26-
ε.	1	selfemp	39	54	93	[26-
6.	2	nonactiv	19	74	93	-25
7.	3	nonactiv	19	65	84	-25
8.	3	selfemp	22	65	87	-25
9.	3	waged	26	65	93	-25
10.	3	waged	26	65	93	[25-26
11.	3	waged	28	65	93	[26-
12.	4	nonactiv	7	70	77	-25
13.	4	nonactiv	20	70	90	-25
14.	4	selfemp	23	70	93	-25
ιε.	ε	nonactiv	4	68	72	-25
16.	ε	waged	11	68	79	-25
17.	ε	nonactiv	22	68	90	-25
18.	ε	waged	26	68	93	-25
19.	6	nonactiv	12	66	78	-25
20.	6	nonactiv	24	66	90	-25
21.	6	waged	26	66	93	-25
22.	6	waged	26	66	93	[25-26
23.	6	waged	27	66	93	[26-
24.	7	nonactiv	24	69	93	-25
25.	8	nonactiv	16	54	70	-25
26.	8	nonactiv	26	54	93	-25
27.	8	nonactiv	26	54	93	[25-26
28.	8	nonactiv	39	54	93	[26-

. tabulate activity sex if grage==l

I Sex

Activityl	Male	Female I	Total
			—
nonactiV I	0	1 I	1
waged I	0	2 I	2
selfemp I	1	0 I	1
			—
Total I	1	3 I	4

Suppose that we are interested in studying the employment situation at a particular date, say 1991:

. use example, clear

. list id activity age birth year

	id	activity	age	birth	year
1.	1	nonactiv	22	54	76
2.	1	selfemp	27	54	81
3.	1	selfemp	39	54	93
4.	2	nonactiv	19	74	93
5.	3	nonactiv	19	65	84
6.	3	selfemp	22	65	87
7.	3	waged	28	65	93
8.	4	nonactiv	7	70	77
9.	4	nonactiv	20	70	90
10.	4	selfemp	23	70	93
11.	5	nonactiv	4	68	72
12.	5	waged	11	68	79
13.	5	nonactiv	22	68	90
14.	5	waged	25	68	93
15.	6	nonactiv	12	66	78
16.	6	nonactiv	24	66	90
17.	6	waged	27	66	93
18.	7	nonactiv	24	69	93
19.	8	nonactiv	16	54	70
20.	8	nonactiv	39	54	93

. slice year, tvid(id) interval(90,91) saving(new91, replace) generate(period)

-90 + ε

[90-91 + 8

[91- --------

13 records added to 20

Now it is straightforward to analyze the job status

of the four individuals in this sample who reached the age of 26 during

the survey period.

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