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The information in this section has been
added as a result of questions from users.
·
The
weight used to select the sample NOW appears using its actual name. The weight
no longer appears in the record layout with the letter AA@ as prefix (e.g. AICSWT26 instead of
ICSWT26 or AILWCP26 instead of ILWCP26, etc.). That automatic or Asystem@ weight will not appear in the data
dictionary, unless you add it to your list of selected variables.
·
Deleting
queries using Windows Explorer no
longer poses a problem. Therefore the Delete option has been removed from the
SLIDRet menu.
·
SLIDRet
queries are saved with the .qry extension.
·
To improve
the performance of SLIDRet for large or complex queries, you may find it
helpful to close some of the other large or memory intensive applications you
have open at the same. This is however normally not required.
·
There
are reserved codes in SLID. The pattern followed by the reserved codes is:
...6 => Interim Processing Code
...7 => Don’t
know
...8 => Refusal
...9 => Not
applicable
You can find the codeset
associated to a particular variable in the codeset
file (*.cod) produced by SLIDRET, and in the data dictionary.
·
The
year, appropriate weight and identifiers are automatically inserted into the
query results, and do not appear in the list of variables available.
·
For the reference
year(s) selected, SLIDRET automatically inserts the cross-sectional weight
associated with the unit of analysis: for PERSON, the associated weight is
ICSWT26 (exception: if you select
any variable from the theme LABOUR, the labour weight ILBWT26 is automatically
selected); for PERSON-JOB, JOB ABSENCE and JOBLESS SPELL, the associated weight
is ILBWT26. For all other units of analysis, the default weight is ICSWT26.
·
As a consequence of
the integration of the SCF and SLID samples for the 1993-1997 period, new cross-sectional weight variables were created
this year to ease the use of weights for data users. Cross-sectional weights
are now available if one wants to use data from the SCF sample exclusively
(WTCSCF26) or if one wants to use data from the SLID sample exclusively
(WTCSLD26) or if one wants to use data from the combined sample of SCF and SLID
for the years that they overlap (ICSWT26).
Note that the labour weight ILBWT26 is a person
weight, not a household integrated weight as are the cross-sectional weights
ICSWT26, WTCSCF26 and WTCSLD26: be careful when you use it in estimates of
families or households.
·
SLIDRET
extracts the cross-sectional sample for weights greater than zero for selected
year(s).
·
After
selecting PERSON as the unit of analysis, it is possible to select job
characteristics. For persons with more than one job during a particular year,
the job characteristics on the output file are those of the main job held
during the year (i.e., the one at which the person worked the most hours).
Those without a job would have a value of ANot applicable@ for all job variables.
·
Similarly,
for queries with units of analysis HOUSEHOLD, ECONOMIC FAMILY and CENSUS FAMILY,
it is possible to select person-level characteristics. These characteristics on
the output file pertain to the Major Income Earner (MIE) in that group of
persons for the year of interest. The MIE is the person in that group of
persons who received the greatest income among all group members. Job
characteristics of the MIE’s main job may also be included.
Here are the three possibilities:
Please, use the following statement in the Restrict
Option (see section at the end of the manual)
RESP99
equals 90
Please, use the following statement in the Restrict
Option (see section at the end of the manual)
RESP99
not equals 90
Please, use the following statement in the Restrict
Option (see section at the end of the manual)
(YEAR99
more than 1989
AND
YEAR99 less than 1996
AND
RESP99 equals 90)
OR
(YEAR99 more than 1995
AND
YEAR99 less than 1998
AND
RESP99 not equals 90)
·
The
units of analysis Marital status and Education
certificates automatically give you all data in the database up to the
latest year selected, regardless of which other years you selected.
·
For Longitudinal
(year) type of analysis SLIDRET extracts the longitudinal sample for weights
greater than zero and response code RESP99 = “01” (longitudinal
person in scope) for the latest year selected in the query.
·
For
Longitudinal (panel) type of analysis SLIDRET extracts data for all the
longitudinal persons in the panel(s) selected for the years indicated
regardless of the weight values and response code.
·
SLIDRET
will automatically choose the weight that will allow you to have the largest
sample available. ILGWT26 will be used for extractions over 4, 5, or 6 years,
or when the panels do not overlap. ILWCP26 will be used to combine two panels
and study the behaviour of their population for the years they do overlap.
·
SLIDRET
users who make longitudinal (year) queries should take account of the panel
rotation when selecting the reference years covered by the query. Panel 1 started with reference year
1993, and subsequent panels start every 3 years. The life of each panel is 6 years. In addition to the six full years of
data, some baseline information is available for the year prior to the start of
the panel (for example, 1992 for panel 1).
Those users who select more than 7 years or those users who select a range
of years which do not correspond to the sample rotation will get results which
may not be very useful. Variables
corresponding to years in which the person was not in the SLID sample will have
a value of "not applicable" on the data file produced by SLIDRET.
The following chart identifies the years
covered by each panel:
Panel |
Full data |
Baseline data |
1 |
1993 to 1998 |
1992 |
2 |
1996 to 2001 |
1995 |
3 |
1999 to 2004 |
1998 |
4 |
2002 to 2007 |
2001 |
5 |
2005 to 2010 |
2005 |
... |
... |
... |
And the next one illustrates how panels
overlap:
1993 |
1994 |
1995 |
1996 |
1997 |
1998 |
1999 |
2000 |
2001 |
2002 |
2003 |
2004 |
Panel 1 |
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Panel 2 |
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Panel 3 |
Here is a description of the seven
different units of analysis for longitudinal (year) queries.
·
PERSON:
all persons selected as a member of the active longitudinal panels who were
respondent in the last year included in the query and who were in scope in the
last year included in the query. The Ain scope@ part means that those who die, are
institutionalized or emigrate would be excluded. There would be one record per
person on the file. On a longitudinal extraction for 1993 to 1995, there are
26,875,830 estimated persons in Canada.
Notice
that for all the subsequent files the persons included are subsets of the
persons on the PERSON file.
·
PERSON-JOB:
one record for every job (up to 6 jobs per year) held by every person on the
PERSON file during the years included in the query. A person with no job in any
of the years would not be included in the file. On a longitudinal extraction
for 1993 to 1995, there are 27,392,244 estimated person-jobs in Canada.
·
JOB
ABSENCE: one record for every absence (up to 2 absences per job per year) taken
from every job included on the PERSON-JOB file during the years included in the
query. A person with no job would not be included in the file. On a
longitudinal extraction for 1993 to 1995, there are 5,477,868 estimated job
absences in Canada.
·
JOBLESS
SPELL: one record for every jobless spell experienced by each person included in
the PERSON longitudinal file during the years included in the query (up to 7
jobless spells per year). A person without a jobless spell in all years would
not be included in the file. On a longitudinal extraction for 1993 to 1995,
there are 16,154,065 estimated jobless spells in Canada.
·
MONTHLY
RECEIPT OF EI/WC/SA: one record for each person (up to 3 record
per year) included in the PERSON longitudinal file for each program from which
benefits were received during the years included in the query. A person who
does not receive any of these benefits during any of the years would not be
included in the file. On a longitudinal extraction for 1993 to 1995, there are
8,590,762 estimated monthly receipts in Canada.
·
MARITAL
STATUS: one record for every marital spell experienced by every person included
in the PERSON longitudinal file. Every person will have at least one marital
spell (i.e., single). On a longitudinal extraction for 1992 to 1995, there are
49,544,035 estimated marital status in Canada.
·
EDUCATIONAL
CERTIFICATE: one record for every post-secondary degree, diploma or certificate
received by every person in the PERSON longitudinal file. A person without such
a certificate would not be included on the file. On a longitudinal extraction
for 1992 to 1995, there are 14, 076,174 estimated education certificates in
Canada.
For Longitudinal (panel) type of analysis
files have the same content as described above but for all the longitudinal
persons in the panel(s) selected for the years indicated regardless of the
weight values and response code.