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  • Surveys and statistical programs – Documentation: 11-522-X19990015642
    Description:

    The Longitudinal Immigration Database (IMDB) links immigration and taxation administrative records into a comprehensive source of data on the labour market behaviour of the landed immigrant population in Canada. It covers the period 1980 to 1995 and will be updated annually starting with the 1996 tax year in 1999. Statistics Canada manages the database on behalf of a federal-provincial consortium led by Citizenship and Immigration Canada. The IMDB was created specifically to respond to the need for detailed and reliable data on the performance and impact of immigration policies and programs. It is the only source of data at Statistics Canada that provides a direct link between immigration policy levers and the economic performance of immigrants. The paper will examine the issues related to the development of a longitudinal database combining administrative records to support policy-relevant research and analysis. Discussion will focus specifically on the methodological, conceptual, analytical and privacy issues involved in the creation and ongoing development of this database. The paper will also touch briefly on research findings, which illustrate the policy outcome links the IMDB allows policy-makers to investigate.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 11-522-X19990015644
    Description:

    One method of enriching survey data is to supplement information collected directly from the respondent with that obtained from administrative systems. The aims of such a practice include being able to collect data which might not otherwise be possible, provision of better quality information for data items which respondents may not be able to report accurately (or not at all) reduction of respondent load, and maximising the utility of information held in administrative systems. Given the direct link with administrative information, the data set resulting from such techniques is potentially a powerful basis for policy-relevant analysis and evaluation. However, the processes involved in effectively combining data from different sources raise a number of challenges which need to be addressed by the parties involved. These include issues associated with privacy, data linking, data quality, estimation, and dissemination.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 11-522-X19990015648
    Description:

    We estimate the parameters of a stochastic model for labour force careers involving distributions of correlated durations employed, unemployed (with and without job search) and not in the labour force. If the model is to account for sub-annual labour force patterns as well as advancement towards retirement, then no single data source is adequate to inform it. However, it is possible to build up an approximation from a number of different sources.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 11-522-X19990015650
    Description:

    The U.S. Manufacturing Plant Ownership Change Database (OCD) was constructed using plant-level data taken from the Census Bureau's Longitudinal Research Database (LRD). It contains data on all manufacturing plants that have experienced ownership change at least once during the period 1963-92. This paper reports the status of the OCD and discuss its research possibilities. For an empirical demonstration, data taken from the database are used to study the effects of ownership changes on plant closure.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 11-522-X19990015652
    Description:

    Objective: To create an occupational surveillance system by collecting, linking, evaluating and disseminating data relating to occupation and mortality with the ultimate aim of reducing or preventing excess risk among workers and the general population.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 11-522-X19990015656
    Description:

    Time series studies have shown associations between air pollution concentrations and morbidity and mortality. These studies have largely been conducted within single cities, and with varying methods. Critics of these studies have questioned the validity of the data sets used and the statistical techniques applied to them; the critics have noted inconsistencies in findings among studies and even in independent re-analyses of data from the same city. In this paper we review some of the statistical methods used to analyze a subset of a national data base of air pollution, mortality and weather assembled during the National Morbidity and Mortality Air Pollution Study (NMMAPS).

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 11-522-X19990015658
    Description:

    Radon, a naturally occurring gas found at some level in most homes, is an established risk factor for human lung cancer. The U.S. National Research Council (1999) has recently completed a comprehensive evaluation of the health risks of residential exposure to radon, and developed models for projecting radon lung cancer risks in the general population. This analysis suggests that radon may play a role in the etiology of 10-15% of all lung cancer cases in the United States, although these estimates are subject to considerable uncertainty. In this article, we present a partial analysis of uncertainty and variability in estimates of lung cancer risk due to residential exposure to radon in the United States using a general framework for the analysis of uncertainty and variability that we have developed previously. Specifically, we focus on estimates of the age-specific excess relative risk (ERR) and lifetime relative risk (LRR), both of which vary substantially among individuals.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 11-522-X19990015660
    Description:

    There are many different situations in which one or more files need to be linked. With one file the purpose of the linkage would be to locate duplicates within the file. When there are two files, the linkage is done to identify the units that are the same on both files and thus create matched pairs. Often records that need to be linked do not have a unique identifier. Hierarchical record linkage, probabilistic record linkage and statistical matching are three methods that can be used when there is no unique identifier on the files that need to be linked. We describe the major differences between the methods. We consider how to choose variables to link, how to prepare files for linkage and how the links are identified. As well, we review tips and tricks used when linking files. Two examples, the probabilistic record linkage used in the reverse record check and the hierarchical record linkage of the Business Number (BN) master file to the Statistical Universe File (SUF) of unincorporated tax filers (T1) will be illustrated.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 11-522-X19990015662
    Description:

    As the availability of both health utilization and outcome information becomes increasingly important to health care researchers and policy makers, the ability to link person-specific health data becomes a critical objective. This type of linkage of population-based administrative health databases has been realized in British Columbia. The database was created by constructing an historical file of all persons registered with the health care system, and then by probabilistically linking various program files to this 'coordinating' file. The first phase of development included the linkage of hospital discharge data, physician billing data, continuing care data, data about drug costs for the elderly, births data and deaths data. The second phase of development has seen the addition data sources external to the Ministry of Health including cancer incidence data, workers' compensation data, and income assistance data.

    Release date: 2000-03-02

  • Surveys and statistical programs – Documentation: 11-522-X19990015664
    Description:

    Much work on probabilistic methods of linkage can be found in the statistical literature. However, although many groups undoubtedly still use deterministic procedures, not much literature is available on these strategies. Furthermore there appears to exist no documentation on the comparison of results for the two strategies. Such a comparison is pertinent in the situation where we have only non-unique identifiers like names, sex, race etc. as common identifiers on which the databases are to be linked. In this work we compare a stepwise deterministic linkage strategy with the probabilistic strategy, as implemented in AUTOMATCH, for such a situation. The comparison was carried out on a linkage between medical records from the Regional Perinatal Intensive Care Centers database and education records from the Florida Department of Education. Social security numbers, available in both databases, were used to decide the true status of the record pair after matching. Match rates and error rates for the two strategies are compared and a discussion of their similarities and differences, strengths and weaknesses is presented.

    Release date: 2000-03-02
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Reference (49)

Reference (49) (0 to 10 of 49 results)

  • Surveys and statistical programs – Documentation: 62F0026M2000005
    Description:

    This guide presents information of interest to users of data from the Survey of Household Spending. Data are collected via personal interview conducted in January, February and March after the reference year using a paper questionnaire. Information is gathered about the spending habits, dwelling characteristics and household equipment of Canadian households during the reference year. The survey covers private households in the ten provinces and three territories. (The three territories are surveyed every second year.)

    This guide includes definitions of survey terms and variables and descriptions of survey methodology and data quality. There is also a section describing the various statistics that can be created using expenditure data (e.g., budget share, market share, and aggregates).

    Release date: 2000-12-12

  • Surveys and statistical programs – Documentation: 85-602-X
    Description:

    The purpose of this report is to provide an overview of existing methods and techniques making use of personal identifiers to support record linkage. Record linkage can be loosely defined as a methodology for manipulating and / or transforming personal identifiers from individual data records from one or more operational databases and subsequently attempting to match these personal identifiers to create a composite record about an individual. Record linkage is not intended to uniquely identify individuals for operational purposes; however, it does provide probabilistic matches of varying degrees of reliability for use in statistical reporting. Techniques employed in record linkage may also be of use for investigative purposes to help narrow the field of search against existing databases when some form of personal identification information exists.

    Release date: 2000-12-05

  • Surveys and statistical programs – Documentation: 21-525-X
    Description:

    Statistics Canada publishes several measures of farm income, each produced for a different purpose. This bulletin describes the concepts behind these different measures, the methods by which the measures are constructed, and the uses for which they were designed.

    Release date: 2000-11-29

  • Surveys and statistical programs – Documentation: 82-573-G
    Description:

    The Guide to health statistics leads to health-related information with links to vital statistics such as births, deaths, marriages and divorces, to cancer statistics, health determinants, health status, health care, smoking and tobacco use and more. There is also information on cross-sectional and longitudinal surveys from the Canadian Community Health Survey and the National Population Health Survey.

    This user's guide has been developed by Health Statistics Division to facilitate access on health information at Statistics Canada. It includes information with links to products and programs from Health Statistics Division, other divisions at Statistics Canada and other health related programs outside Statistics Canada.

    Release date: 2000-10-11

  • Surveys and statistical programs – Documentation: 75F0002M2000005
    Description:

    This paper describes the collection method and content of the 1999 Survey of Labour and Income Dynamics (SLID) income interview.

    Release date: 2000-10-05

  • Surveys and statistical programs – Documentation: 75F0002M2000011
    Description:

    This report summarizes the comments received in response to a discussion paper on low income cut-offs released in January 2000.

    Release date: 2000-09-26

  • Surveys and statistical programs – Documentation: 85-510-X
    Geography: Province or territory
    Description:

    This publication includes a list of federal and provincial courts across the country. The purpose of this directory is to identify all courts (permanent and most frequently visited circuit points) in Canada by type, level, and location.

    Release date: 2000-09-26

  • Surveys and statistical programs – Documentation: 75F0010X
    Description:

    The publication guides the user through the vast array of labour market and income data sources. It offers detailed descriptions of the various surveys, including the data collected. A summary chart gives snapshot information for comparisons.

    Release date: 2000-09-13

  • Surveys and statistical programs – Documentation: 31-532-G
    Description:

    This practical and informative guide for manufacturers and exporters will assist in navigating through numerous Statistics Canada products and services. In addition, some recent articles and research papers have been highlighted.

    Release date: 2000-07-26

  • Surveys and statistical programs – Documentation: 75F0002M2000010
    Description:

    This report explains the concept of income and provides definitions of the various sources of income and derived income variables. It also documents the various aspects of the census that can have an impact on census income estimates.

    Release date: 2000-07-26
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