SLID Systems

SLIDRet 4.0

 

SLIDRet 4.0 User’s Manual

 

Introduction

 

SLIDRET is the SLID (Survey of Labour and Income Dynamics) data RETrieval system. It was developed to simplify access to SLID data; users are able to create a dataset according to their own specifications, without having to understand the internal SLID database structure. Everything is contained in one screen. Windows open to allow users to clarify various selections.

 

Users are able to create, save and modify specifications to create cross-sectional and longitudinal datasets containing only the variables selected. The database can be created in two formats: a text (ASCII) flat file or a Foxpro table. SLIDRET can also generate a data dictionary, a record layout, a file containing the variable labels, variable codesets, and univariate statistics for each of the variables selected. The output data file can then be read into the analytical software preferred by the user. An additional feature is that the software suggests a weight variable based on the specifications (if desired, this default can be changed by the user).

 

You can also specify the order in which the data are stored (e.g. in ascending order of an identification variable) and put restrictions on the content of your database (i.e. persons with a total income greater than 100 000 dollars).

 

To use all features of SLIDRET, one must have access to the internal database (for which access is restricted). However one can create the “query” files from the public version of SLIDRET which contains an empty database structure. These query files can subsequently be used for remote access (more information on remote access in another section of this manual) or when the user has access to the internal database.

 

Depending on the user’s selections and the type of computer used, the extraction may take some time. We anticipate that this will not be viewed as problematic since SLIDRET is not used frequently. The primary purpose is to create a file which will meet the needs of a specific analytical or research project.

 

Version 4.0.0 is a complete redesign of the SLIDRet application. The application interface is now programmed in C#.Net (rather than FoxPro). Data are kept in SQL Server 2005 databases (rather than FoxPro). The net results of this redesign are:

·         A more user friendly interface.

·         Decreased processing times for queries.

·         Enhanced functionality

 

 

 

SLIDRet Menu and Options

 

File options

New query       

Creates a new query.

Load query

           Loads a query which has been saved from a previous session.

Save query       

Saves your query.

Quit                 

Closes SLIDRet.

Tools options

Options  

Sets user specific SLIDRet options.

o   General Options

§  Preferred language:     
Sets the application language. SLIDRET will remember your language preference for your next session.

§  Check variables on first mouse click:
Sets whether a single or a double click is required to select a variable in the Variable Selection tab.

§  Default queries location:
Specifies the default location where queries will be saved to. The user is not limited to this location and may specify a different save location at any time

§  Show welcome screen:
Specifies whether the SLIDRet Option welcome screen should be displayed when the SLIDRet application starts up.

 

 

o   Data sources Manager

§  Add data source

·         Data server name:
The name of the SQL Server instance where the data reside.
The Refresh button updates the neighbouring dropdown list so that it contains all visible SQL Server instances.

·         Data database name:
The name of the database to be used for this data source.
The Refresh button updates the neighbouring dropdown list so that it contains all databases on the specified SQL Server instance.

·         Dmms.xml location:
The full path and filename of the Dmms (Data Dictionary) file to be used in conjunction with the specified database.
Dmms files should be named using the following format: Dmms_yyyy.xml (where yyyy represents the four digit year corresponding to the Dmms file in question).
Only a Dmms file corresponding to the same year of the data should be used (i.e. data for 2007 should be using the Dmms_2007.xml file).
The neighbouring folder icon permits navigation to the desired file.

·         The Add button saves the entered data source information. Exiting the Options window, even by using the Save and close button, without Adding a data source will cause the data source information to be lost.

§  Current data sources

·         Displays information for all saved data sources.

·         Data sources must be added through the Add data source section.

·         A data source can be deleted by first selecting it, then pressing the  to the right of the column headings for this section.

§  Save and close

·         Saves changes made in the General Options section.

·         Does NOT add or save data source information

·         Closes the form

Help options

 


SLIDRet Tool bar

 

File buttons

New query

 : Creates a new query.

Load query

 : Loads a query which has been saved from a previous session.

Save query

 : Saves your query.

Navigation buttons

Previous

: Navigates to the previous tab. Is inactive (greyed out) when unavailable (as when the current tab is the first tab).

Next

: Navigates to the next tab. Is inactive (greyed out) when unavailable (as when the current tab is the last tab).

Search

Search is used to find variables meeting the search criteria

Search field

:  Where search term is entered.

Search criteria

: Identifies parts of the variable to search:

Search

: Displays the results of the search

Data Source

Data Source Selection

:           

Data Source Options

:    Opens Data Source options.

 


Creation of a query

Required Information

Type of analysis

The user must choose between cross-sectional and longitudinal. In general, cross-sectional analysis refers to analysis covering only one reference year (or a series of one reference year analysis) whereas longitudinal analysis spans over several years.

Surveys

SLID (Survey of Labour and Income Dynamics) data cover years from 1993 to present.

SCF (Survey of Consumer Finance) data cover years 1976 to 1997.

SLID + SCF data cover 1976 to present.

Analysis unit

 


The unit of analysis identifies the unit of observation for one record on the output file. Not all choices are available for both cross-sectional and longitudinal analysis.
The choices are:

 

·   Person: one record for every person

·   Person-job: one record for every job held (Persons with no jobs are not included in this file.)

·   Job absence: one record for every job absence (Persons with no jobs or with jobs from which no absence was taken are not included in this file.)

·   Jobless spell: one record for every period of joblessness (Persons with no such periods are not included in this file.)

·   Marital status spell: one for every marital state held by each person during his/her lifetime (Complete marital history is not collected by SLID for some persons with multiple marriages.)

·   Postsecondary degree, diploma or certificate: one record for every postsecondary degree, diploma or certificate received during each person’s lifetime, with some exceptions for persons with multiple degrees. (Persons without postsecondary educational attainment are not included in this file.)

·   Household: one record for every household

·   Household relationships: one record for every pair of persons in every household (Households with only one person are not included in this file. In general, a household with n persons will have n*(n-1) records on this file.)

·   Economic family: one record for every economic family

·   Census family: one record for every census family

·   Monthly receipt of EI/WC/SA: one record for every type of benefit received by all persons. Benefits covered are Employment Insurance, Workers’ Compensation and Social Assistance. (Persons without receipt of any of these three benefits are not included on this file).

Reference years

For Longitudinal queries chose the panel(s)

 

While all combinations of years are accepted, users requesting longitudinal (year) analysis should pay attention to the survey design and panel rotation. Starting with 1993, a panel of respondents is introduced every three years and stays in sample for a six-year period. So it is possible to have one panel for analysis for six years with half the total survey sample or two panels for analysis for three years. So the application will only let you choose from among the following time periods:

 

Three years: 1993 to 1995, 1996 to 1998, 1999 to 2001, etc.

Six years:                                       1993 to 1998, 1996 to 2001, 1999 to 2004, etc.

 

In addition, one can also select the year prior to these ranges (i.e., 1992) to expand the data available for analysis. Situational data such as province of residence, marital status and family composition are available corresponding to the end of the year prior to the start of the panel.

 

The Select all years option will check/uncheck all of the currently available reference years options

 

Variable Selection

Themes

Since the SLID database contains many variables, the location and selection of those variables of interest may take some time. SLIDRET uses the same variable classification into themes and sub-themes as the SLID Electronic Data Dictionary (http://www.statcan.ca/bsolc/english/bsolc?catno=75F0026X). So, if you are familiar with the data dictionary, you will be able to follow the same path in SLIDRET. SLIDRET also allows you to search for a variable, and to select it for your query at the same time. To select what you want in SLIDRET, use the computer mouse to point and click on themes and variables of interest.

 

Variables

The Variables pane title is that of the selected theme/sub-theme. The pane’s contents are variables applicable to the theme/sub-theme selected in the themes pane. If no theme is selected the Analysis pane will display all variables applicable to the chosen Analysis unit

Variables can be selected, one at a time, by either single or double clicking (depending on how the corresponding option is set in the options page) the checkbox next to a variable name. Single or double clicking (depending on how the corresponding option is set in the options page) a checked variable un-checks (de-selects) a variable.

 

Checking the Select all visible variables checkbox will check all variables that are currently viewable (whether they are currently visible or not), that is to say all variables belonging to the currently selected theme are selected. Conversely un-checking the Select all visible variables checkbox will un-check all variables that are currently viewable (whether they are currently visible or not), that is to say all variables belonging to the currently selected theme are de-selected.

 

Selected Variables

The Selected Variables pane displays the entire list of currently selected variables. As they are selected from within the variables pane, variables will appear in the Selected Variables pane. Conversely, as variables are de-selected from the variables pane they are removed from the Selected Variables pane.

A variable can be removed from the Selected Variables pane by first selecting it and by then press the  button.

Pressing the Clear variables button will remove all variables from the Selected Variables pane

 

Variables Details

The pane which spans the lower right of the Variable Selection tab displays details regarding the last selected variable (the last variable name that was clicked on in the Variables or the Selected Variables panes. The contents of this pane are for information purposes only and as such are read-only.

Summary

Selected Variables

Selected Variables displays a summary listing of all selected variables in the Variable Selection tab. Further details on the selected/highlighted variable can be found below the list. Contents of this tab cannot be modified. Any changes must be made at the original data entry location.

 

Analysis Type

Analysis Type as selected in the Required Information tab. Contents of this tab cannot be modified. Any changes must be made at the original data entry location.

Analysis Unit

Analysis Unit as selected in the Required Information tab. Contents of this tab cannot be modified. Any changes must be made at the original data entry location.

Themes and Entities

Themes and Entities displays a list of all themes and entities covered by current query. Contents of this tab cannot be modified. Any changes must be made at the original data entry location.

Selected years

A listing of all the years as specified in the Required Information tab. Contents of this tab cannot be modified. Any changes must be made at the original data entry location.

 

Restrict and Order

Restrictions

Displays the restrictions (if any) that have been applied to this query. Its contents are managed through the Line editor. To modify or remove a restriction, select it and perform the corresponding action (modify or remove) in the Line editor.

Line editor

Allows for the following management of queries.

·         Add: Specify the required fields and press the Add/Modify button.

·         Modify:         Select the desired restriction from the Restrictions table, make desired changes in the Line editor, and press the Add/Modify button.

·         Remove:        Select the desired restriction from the Restrictions table and press the Remove button

 

Selected variable description

Provides a detailed description for the variable selected in the Line editor.

Run Query

Query Output

Allows specification of the desired file output formats from among:

·        Univariate statistics (.ust):
Produces statistics on the distribution of the data in the resulting dataset. For numerical variables, ranges will be established based on the weighted  mean of all valid, non‑zero values of the variable. The distribution of valid, positive, non‑zero values of numerical variables follows this pattern:

(  0, B1 = mean divided by 2.00]

(B1, B2 = mean divided by 1.50]

(B2, B3 = mean divided by 1.25]

(B3, B4 = mean divided by 1.10]

(B4, B5 = mean]

(B5, B6 = mean multiplied by 1.10]

(B6, B7 = mean multiplied by 1.25]

(B7, B8 = mean multiplied by 1.50]

(B8, B9 = mean multiplied by 2.00]

(B9, Maximum valid value of the variable]

NOTE: Univariate Statistics are not available for Longitudinal data
NOTE: Univariate Statistics can greatly increase the time required to complete a query.


NOTE: All files once created do not maintain any link to the actual data in SLIDRet. The files are a temporary snapshot of the SLIDRet data represented by the query at the time they were created. Changes made to SLIDRet data will NOT be automatically reflected in the files you have created.

Output files language

Specifies the language used in the output file for application generated headings or messages. This does not affect the language of such items as variable names or variable values.

Weight

Specifies the weight to be used with the query. Only weights applicable to your chosen Type of Analysis, Survey, Analysis Units and Reference Years will be available. Weights are covered further in the Weights section later in this document.

Output

Once the query is run information regarding its progress will be displayed here.

Run

Once the query is run information regarding its progress will be displayed here.

Ouput

Once the query is run information regarding its progress will be displayed here.

Preview

Data Source Selection

 

 

 

Important things to know

 

The information in this section has been added as a result of questions from users.

For all queries

 

·        The name given to a query must begin with an alphabetic character.

·        Do not use hyphens (-) or spaces in the name of a query.

·        The weight used to select the sample 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.

·        Never delete your queries using Windows Explorer. Use instead the Delete option from the SLIDRET Query menu. The reason is that SLIDRET creates a list of all the names of queries you created for its internal use, and only by deleting your queries with the Delete option will it erase the name of those queries from its list. If you delete queries using something else, problems may pop up later.

·        SLIDRET gives the query name to all files created for this query. Only the file extensions will change: *.dbf, *.cod, *.dat, etc (exception: *z.cdx).

·        To improve the performance of SLIDRET, close as many other applications as possible.

·        You can stop a submitted query at any time by pressing the escape  key. This may stop the query or crash SLIDRET. You then just need to reopen it again. Since your query has been saved, you can resubmit it.

·        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.

 


For cross-sectional queries:

 

·        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)

 


 


For longitudinal queries:

 

·        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

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Panel 2

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

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.

 

 

Weights

Sub Section (second level)

Combined SCF/SLID sample integrated cross-sectional weight. This weight takes into account the respondents of the two surveys combined (Survey of Consumer Finances and Survey of Labour and Income Dynamics) for the overlapping years of 1993 to 1997. For the years prior to 1993, this weight is equivalent to the cross-sectional weight applicable when using only the SCF sample (see variable WTCSCF26). For the years after 1997, this weight is equivalent to the cross-sectional weight applicable when using only the SLID sample (see variable WTCSLD26). This is an integrated weight, which is to say that all persons in the same household receive the same weight. For estimates of persons, the weight is counted once for each person in the household. For estimates of families or households, the weight is counted once for each family or household.

 

Most recent revisions: With the release of data for 2003, the weights were revised for 1990 to 2002. With this revision a new calibration strategy was implemented which included adding the number of earners as an additional dimension of the calibration. The number of earners was obtained from the Canada Revenue Agency T4 files. In addition, population control totals used in the calibration were updated based on the 2001 census. With the release of data for 2004, the weights were revised for 2003. The calibration of the original weights for 2003 used modeled T4 data because the final T4 data was not yet available. The revision of the 2003 weights the following year (with the release of data for 2004), used the final T4 data in the calibration step. With the release of data for 2005, the weights were revised for 2004. The calibration of the original weights for 2004 used modeled T4 data because the final T4 data was not yet available. The revision of the 2004 weights the following year (with the release of data for 2005), used the final T4 data in the calibration step. With the release of data for 2007, the weights for years 1993 to 1997 were revised to take into account the combining of the SLID and SCF samples.

 

wtcscf26

Regular integrated cross-sectional weight for SCF. This weight is valid for cross-sectional estimates using observations from the Survey of Consumer Finances only and is available for all years of that survey, i.e., years 1976 to 1997. See also variable ICSWT26. This is an integrated weight, which is to say that all persons in the same household receive the same weight. For estimates of persons, the weight is counted once for each person in the household. For estimates of families or households, the weight is counted once for each family or household. Most recent revisions: With the release of data for 2003, the weights were revised for 1990 to 1997.

 

wtcsld26

Regular integrated cross-sectional weight for SLID. This weight is valid for cross-sectional estimates using the Survey of Labour and Income Dynamics only and is available for all years of that survey, i.e., 1993 onwards. See also variable ICSWT26. Note that the SLID sample consisted of only one panel of respondents from 1993 to 1995, while since 1996 it consists of two panels of respondents; the weight takes this into account. This is an integrated weight, which is to say that all persons in the same household receive the same weight. For estimates of families or households, the weight is counted once for each family or household.

 

Most recent revisions: With the release of data for 2003, the weights were revised for 1993 to 2002. With this revision a new calibration strategy was implemented which included adding the number of earners as an additional dimension of the calibration. The number of earners was obtained from the Canada Revenue Agency T4 files. In addition, population control totals used in the calibration were updated based on the 2001 census. With the release of data for 2004, the weights were revised for 2003. The calibration of the original weights for 2003 used modeled T4 data because the final T4 data was not yet available. The revision of the 2003 weights the following year (with the release of data for 2004), used the final T4 data in the calibration step. With the release of data for 2005, the weights were revised for 2004. The calibration of the original weights for 2004 used modeled T4 data because the final T4 data was not yet available. The revision of the 2004 weights the following year (with the release of data for 2005), used the final T4 data in the calibration step.

 

ilbwt26

Cross-sectional weight for the person, adjusted for non-response to questions on non-income variables such as labour market activity and education. It is adjusted for more cases of non-response than is the regular integrated cross-sectional weight (ICSWT26), thereby minimizing the percentage of persons with missing values ("Don't know") after weighting. Nonetheless, there are still missing values since only minimal imputation is performed for non-income variables.

 

Most recent revisions: With the release of data for 2003, the weights were revised for 1993 to 2002. With this revision a new calibration strategy was implemented which included adding the number of earners as an additional dimension of the calibration. The number of earners was obtained from the Canada Revenue Agency T4 files. In addition, population control totals used in the calibration were updated based on the 2001 census. With the release of data for 2004, the weights were revised for 2003. The calibration of the original weights for 2003 used modeled T4 data because the final T4 data was not yet available. The revision of the 2003 weights the following year (with the release of data for 2004), used the final T4 data in the calibration step. With the release of data for 2005, the weights were revised for years 1993 to 2004 to incorporate a new strategy to deal with non-response.

 

ilgwt26

Longitudinal weight for the person. Applicable to one panel of respondents.

 

Most recent revisions: With the release of data for 2003, the weights were revised for 1993 to 2002. With this revision a new calibration strategy was implemented which included adding the number of earners as an additional dimension of the calibration. The number of earners was obtained from the Canada Revenue Agency T4 files. In addition, population control totals used in the calibration were updated based on the 2001 census.

 

ilwcp26

Longitudinal weight for the person which takes into account the respondents of the two panels combined.

 

Most recent revisions: With the release of data for 2003, the weights were revised for 1993 to 2002. With this revision a new calibration strategy was implemented which included adding the number of earners as an additional dimension of the calibration. The number of earners was obtained from the Canada Revenue Agency T4 files. In addition, population control totals used in the calibration were updated based on the 2001 census. With the release of data for 2006, the weights were revised for years 1993 to 2005 to correct a problem with calibration totals used. For information on combined panel weighting, see the paper called " Combined-panel longitudinal weighting, Survey of Labour and Income Dynamics" by Jean-François Naud. Statistics Canada Catalogue no. 75F0002MIE, No. 008.