Western Libraries

Call for Proposals to use Longitudinal Administrative Database in Research Data Centre

September 01, 2015

Written by:  Vince Gray

Statistics Canada has issued a call to researchers to submit proposals of access to the Longitudinal Administrative Database (LAD) within the Research Data Centre programme. The full text of the call is available online. Submissions are due by October 5, 2015.

The LAD is a sample of individual taxfilers with a longitudinal design. Currently data are available from 1982-2012 and 2013 will be available early in the roll-out. The frame is constructed from the annual T1 Family File (Annual Estimates for Census Families and Individuals (T1 Family File)) which makes use of information from administrative files. Only individual records that have social insurance numbers can be selected for the LAD and these are sampled at a 20% rate. Also included in the LAD are a set of immigration variables, drawn from the Longitudinal Immigration Data Base (IMDB), relating to information collected at landing, as well as a set of variables describing Tax Free Saving Account usage.

The LAD survey units are individuals but limited information about the characteristics of their family during the reference year is also kept (e.g. spouse/parent, family, and children). No stratification is performed consequently the sampling weight is equal across all units. The sampling is done once on each record in such a way that if someone is selected in a particular reference year, they will be selected in any other later (or earlier) years in which they are present in the T1 Family File.

Submissions

While a limited number of proposals for both cross sectional and longitudinal analyses will be considered, research that includes the following types of analyses or results is of particular interest:

Researchers are invited to submit proposals for consideration by October 5th, 2015. The submitted research proposals will be assessed based on the research areas of interest as well as the proposed types of analysis, including the viability of the proposed research. The proposals that are better aligned with the above described research areas of interest, types of analysis and results will receive more favorable consideration.