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    All (257)

    All (257) (250 to 260 of 257 results)

    • 251. Science and Technology Activities and Impacts: A Framework for a Statistical Information Archived
      Journals and periodicals: 88-522-X
      Description:

      The framework described here is intended as a basic operational instrument for systematic development of statistical information respecting the evolution of science and technology and its interactions with the society, the economy and the political system of which it is a part.

      Release date: 1999-02-24
    • 252. Guide to Data on Elementary and Secondary Education in Canada Archived
      Surveys and statistical programs – Documentation: 81F0004G
      Description:

      The guide lists and briefly describes the main sources of data, and for each source gives: data coverage, main variables available, strengths and limitation of the data, historical continuity, frequency and means of dissemination, indication of the type of analysis that can be performed.

      Release date: 1998-03-30
    • 253. Market globalization and its impact on the supply of information: The case of Mexico Archived
      Articles and reports: 61-532-X19970013496
      Description:

      Society is changing, its information needs are multiplying, and as a result, the National Systems of Information take advantage of the technology available and adjust their mechanisms and ways of generating statistical and geographical data so as to provide new products and services to effectively to meet these new requirements.

      Release date: 1998-02-02
    • 254. Applications of spatial smoothing to survey data Archived
      Articles and reports: 12-001-X19960022984
      Description:

      In this paper we present two applications of spatial smoothing using data collected in a large scale economic survey of Australian farms: one a small area and the other a large area application. In the small area application, we describe how the sample weigths can be spatially smoothed in order to improve small area estimates. In the large area application, we give a method for spatially smoothing and then mapping the survey data. The standard method of weighting in the survey is a variant of linear regression weighting. For the small area application, this method is modified by introducing a constraint on the spatial variability of the weights. Results from a small scale empirical study indicate that this decreases the variance of the small area estimators as expected, but at the cost of an increase in their bias. In the large area application, we describe the nonparametric regression method used to spatially smooth the survey data as well as techniques for mapping this smoothed data using a Geographic Information System (GIS) package. We also present the results of a simulation study conducted to determine the most appropriate method and level of smoothing for use in the maps.

      Release date: 1997-01-30
    • 255. Using data on interruptions in telephone service as coverage adjustments Archived
      Articles and reports: 12-001-X19960022985
      Description:

      Telephone surveys in the U.S. are subject to coverage bias because about 6 percent of all households do not have a telephone at any particular point in time. The bias resulting from this undercoverage can be important since those who do not have a telephone are generally poorer and have other characteristics that differ from the telephone population. Poststratification and the other usual methods of adjustment often do not fully compensate for this bias. This research examines a procedure for adjusting the survey estimates based on the observation that some households have a telephone for only part of the year, often due to economic circumstances. By collecting data on interruptions in telephone service in the past year, statistical adjustments of the estimates can be made which may reduce the bias in the estimates but which at the same time increase variances because of greater variability in weights. This paper considers a method of adjustment using data collected from a national telephone survey. Estimates of the reductions in bias and the effect on the mean square error of the estimates are computed for a variety of statistics. The results show that when the estimates from the survey are highly related to economic conditions the telephone interruption adjustment procedure can improve the mean square error of the estimates.

      Release date: 1997-01-30
    • 256. The future of data dissemination Archived
      Articles and reports: 75-001-X19960022891
      Description:

      Last November, Statistics Canada hosted its 12th annual International Symposium on Methodology Issues. This report outlines selected speakers' observations about the radical changes taking place in the creation and delivery of statistical information.

      Release date: 1996-06-05
    • 257. Socio-economic Statistics and Public Policy: A New Role for Microsimulation Modeling Archived
      Articles and reports: 11F0019M1995081
      Geography: Canada
      Description:

      Users of socio-economic statistics typically want more and better information. Often, these needs can be met simply by more extensive data collections, subject to usual concerns over financial costs and survey respondent burdens. Users, particularly for public policy purposes, have also expressed a continuing, and as yet unfilled, demand for an integrated and coherent system of socio-economic statistics. In this case, additional data will not be sufficient; the more important constraint is the absence of an agreed conceptual approach.

      In this paper, we briefly review the state of frameworks for social and economic statistics, including the kinds of socio-economic indicators users may want. These indicators are motivated first in general terms from basic principles and intuitive concepts, leaving aside for the moment the practicalities of their construction. We then show how a coherent structure of such indicators might be assembled.

      A key implication is that this structure requires a coordinated network of surveys and data collection processes, and higher data quality standards. This in turn implies a breaking down of the "stovepipe" systems that typify much of the survey work in national statistical agencies (i.e. parallel but generally unrelated data "production lines"). Moreover, the data flowing from the network of surveys must be integrated. Since the data of interest are dynamic, the proposed method goes beyond statistical matching to microsimulation modeling. Finally, these ideas are illustrated with preliminary results from the LifePaths model currently under development in Statistics Canada.

      Release date: 1995-07-30
    Data (7)

    Data (7) ((7 results))

    • 1. Canadian Statistical Geospatial Explorer Hub
      Data Visualization: 71-607-X2020010
      Description: The Canadian Statistical Geospatial Explorer empowers users to discover geo enabled data holdings of Statistics Canada at various levels of geography including at the neighbourhood level. Users are able to visualize, thematically map, spatially explore and analyze, export and consume data in various formats. Users can also view the data superimposed on satellite imagery, topographic and street layers.
      Release date: 2024-08-21
    • 2. Hierarchical File, 2006 Census (Public Use Microdata Files)
      Public use microdata: 95M0029X
      Description: This hierarchical file provides data on the characteristics of the population. The 2006 Census Public Use Microdata Files (PUMFs) contain samples of anonymous responses to the 2006 Census questionnaire. The files have been carefully scrutinized to ensure the complete confidentiality of the individual responses. The individual file was released on March 4, 2010 and the hierarchical file is available as of today, May 2, 2011.

      Microdata files are unique among census products in that they give users access to non-aggregated data. The PUMFs user can group and manipulate these variables to suit data and research requirements. Tabulations excluded from other census products can be created or relationships between variables can be analysed using different statistical tests. PUMFs provide quick access to a comprehensive social and economic database about Canada and its people.

      Most of the subject matter covered by the census is included in the microdata files. To ensure the respondents' anonymity, geographic identifiers have been restricted to provinces/territories and large metropolitan areas.

      This product, offered on CD-ROM, contains the data file (in ASCII format), user documentation and SAS and SPSS program source codes to enable you to read the set of records. Note: users will require knowledge of data manipulation and retrieval software such as SAS or SPSS to be able to use this product.

      Release date: 2023-09-12
    • 3. Canadian Social Environment Typology: Data File and User Guide Archived
      Table: 17-20-00022022001
      Description: The Canadian Social Environment Typology (CanSET) data file on cluster membership by dissemination area is a downloadable data file. The file includes information on the variables that were used to create the clusters and a data table with cluster options on membership by dissemination area.
      Release date: 2022-05-09
    • 4. National Income and Expenditure Accounts: Data Tables Archived
      Table: 13-019-X
      Description: These data tables provide quarterly information on Canada's National Income and Expenditure Accounts (NIEA), 1961-2012. It contains seasonally adjusted data on gross domestic product (GDP) by income and by expenditure, saving and investment, borrowing and lending of each of four broad sectors of the economy: (i) persons and unincorporated businesses, (ii) corporate and government business enterprises, (iii) governments and (iv) non-residents. Information is also provided for selected subsectors. The tables include data beginning in 1961, and is no longer being released.
      Release date: 2012-08-31
    • 5. Livestock Statistics Archived
      Table: 23-603-X
      Description:

      This publication contains data from 1976 to date for major livestock series: cattle and calves, hogs, sheep and lambs, wool, furs, trade and prices, stocks of frozen meats, and apparent per capita meat consumption. Data highlights are also included. New and revised estimates for these data are released four times a year.

      Release date: 2003-03-05
    • 6. Trade and Transportation: The Impact of the 1995 Transborder Air Services Accord Archived
      Table: 51F0007X
      Description:

      For most of the post-war period, Canada and the United States have utilized an open regime to govern trade relations between the two countries. Such has not always been the case for transborder air services, however. In 1966, the two countries signed an air services accord (ASA) that governed commercial air services between the two. The 1966 accord was quite restrictive, limiting entry and price competition in transborder markets. This restrictive agreement governed Canada-U.S. air service for almost 30 years, finally being replaced in 1995 with a new ASA that has granted entry and pricing freedom in transborder markets.

      Release date: 2001-06-05
    • 7. Data Products: Dimensions Series: 1996 Census of Population Archived
      Table: 94F0005X
      Description:

      This CD-ROM is part of the Dimensions Series which provides an in-depth analysis of census data. More than 150 tables represent a variety of special interest subjects linking a number of Census variables. Statistical information is presented on themes of considerable public interest with some tables examining historical trends and other tables detailing significant sub-populations. Data for geographical levels of Canada, Provinces and Territories are most widely represented with some data tables produced at the Census Metropolitan Area level. The Portrait of Official Language Communities in Canada and the Portrait of Aboriginal Population of Canada contain some information at the community level.Some tables show comparisons with data from earlier censuses to provide an historical perspective.

      Release date: 1999-04-06
    Analysis (189)

    Analysis (189) (0 to 10 of 189 results)

    • 1. The Eh Sayers Podcast
      Journals and periodicals: 45-20-0003
      Description: The ‘Eh Sayers’ podcast explores data of interest to Canadians, like social or news-worthy topics. It also aims to foster data literacy and deliver insight into the lives of Canadians by exploring the data the agency produces and tying it to real life situations through storytelling.
      Release date: 2024-10-17
    • 2. The Business and Community Newsletter
      Journals and periodicals: 11-632-X
      Description: The newsletter offers information aimed at three main groups, businesses (small to medium), communities and ethno-cultural groups/communities. Articles and outreach materials will assist their understanding of national and local data from the many relevant sources found on the Statistics Canada website.
      Release date: 2024-09-19
    • 3. The Importance of Disaggregated Data: An Introduction (part 1)
      Stats in brief: 89-20-00062024001
      Description: This short video explains how it can be very effective for all levels of governments and organizations that serve communities to use disaggregated data to make evidence-informed public policy decisions. By using disaggregated data, policymakers are able to design more appropriate and effective policies that meet the needs of each diverse and unique Canadian.
      Release date: 2024-07-16
    • 4. The Importance of Disaggregated Data: An Introduction (part 2)
      Stats in brief: 89-20-00062024002
      Description: This short video explains how the use of disaggregated data can help policymakers to develop more targeted and effective policies by identifying the unique needs and challenges faced by different demographic groups.
      Release date: 2024-07-16
    • 5. Investigating the Use of Blockchain to Authenticate Data from the Statistics Canada Website
      Articles and reports: 11-633-X2022007
      Description:

      This paper investigates how Statistics Canada can increase trust by giving users the ability to authenticate data from its website through digital signatures and blockchain technology.

      Release date: 2022-09-19
    • 6. Confidentiality Vetting Support: Dominance and homogeneity using SAS Archived
      Stats in brief: 89-20-00082021001
      Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to perform the dominance and homogeneity test while using the Census.
      Release date: 2022-04-29
    • 7. Confidentiality Vetting Support: Proportion and round tool using SAS Archived
      Stats in brief: 89-20-00082021002
      Description: This video is part of the confidentiality vetting support series and presents examples of how to use SAS to create proportion output for researchers working with confidential data.
      Release date: 2022-04-27
    • 8. Confidentiality Vetting Support: Rounding proportions using Stata Archived
      Stats in brief: 89-20-00082021003
      Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to create proportion output for researchers working with confidential data.
      Release date: 2022-04-27
    • 9. Confidentiality Vetting Support: Dominance and homogeneity using the tcensus function (Stata) Archived
      Stats in brief: 89-20-00082021004
      Description: This video is part of the confidentiality vetting support series and presents examples of how to use Stata to perform the dominance and homogeneity test while using the Census.
      Release date: 2022-04-27
    • 10. Confidentiality Vetting Support: Rounding proportions using Rounder An R Shiny App Archived
      Stats in brief: 89-20-00082021005
      Description: This video is part of the confidentiality vetting support series and presents examples of how to use R to create proportion output for researchers working with confidential data.
      Release date: 2022-04-27
    Reference (57)

    Reference (57) (40 to 50 of 57 results)

    • 41. The U.S. manufacturing plant ownership change database: Research possibilities Archived
      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
    • 42. Creation of an occupational surveillance system in Canada: Combining data for a unique Canadian study Archived
      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
    • 43. An evaluation of data fusion techniques Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015666
      Description:

      The fusion sample obtained by a statistical matching process can be considered a sample out of an artificial population. The distribution of this artificial population is derived. If the correlation between specific variables is the only focus the strong demand for conditional independence can be weakened. In a simulation study the effects of violations of some assumptions leading to the distribution of the artificial population are examined. Finally some ideas concerning the establishing of the claimed conditional independence by latent class analysis are presented.

      Release date: 2000-03-02
    • 44. Integrated media planning through statistical matching: Development and evaluation of the New Zealand panorama service Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015670
      Description:

      To reach their target audience efficiently, advertisers and media planners need information on which media their customers use. For instance, they may need to know what percentage of Diet Coke drinkers watch Baywatch, or how many AT&T customers have seen an advertisement for Sprint during the last week. All the relevant data could theoretically be collected from each respondent. However, obtaining full detailed and accurate information would be very expensive. It would also impose a heavy respondent burden under current data collection technology. This information is currently collected through separate surveys in New Zealand and in many other countries. Exposure to the major media is measured continuously, and product usage studies are common. Statistical matching techniques provide a way of combining these separate information sources. The New Zealand television ratings database was combined with a syndicated survey of print readership and product usage, using statistical matching. The resulting Panorama service meets the targeting information needs of advertisers and media planners. It has since been duplicated in Australia. This paper discusses the development of the statistical matching framework for combining these databases, and the heuristics and techniques used. These included an experiment conducted using a screening design to identify important matching variables. Studies evaluating and validating the combined results are also summarized. The following three major evaluation criteria were used; accuracy of combined results, statibility of combined results and the preservation of currency results from the component databases. The paper then discusses how the prerequisites for combining the databases were met. The biggest hurdle at this stage was the differences between the analysis techniques used on the two component databases. Finally, suggestions for developing similar statistical matching systems elsewhere will be given.

      Release date: 2000-03-02
    • 45. Fusion of data and estimation by entropy maximization Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015672
      Description:

      Data fusion as discussed here means to create a set of data on not jointly observed variables from two different sources. Suppose for instance that observations are available for (X,Z) on a set of individuals and for (Y,Z) on a different set of individuals. Each of X, Y and Z may be a vector variable. The main purpose is to gain insight into the joint distribution of (X,Y) using Z as a so-called matching variable. At first however, it is attempted to recover as much information as possible on the joint distribution of (X,Y,Z) from the distinct sets of data. Such fusions can only be done at the cost of implementing some distributional properties for the fused data. These are conditional independencies given the matching variables. Fused data are typically discussed from the point of view of how appropriate this underlying assumption is. Here we give a different perspective. We formulate the problem as follows: how can distributions be estimated in situations when only observations from certain marginal distributions are available. It can be solved by applying the maximum entropy criterium. We show in particular that data created by fusing different sources can be interpreted as a special case of this situation. Thus, we derive the needed assumption of conditional independence as a consequence of the type of data available.

      Release date: 2000-03-02
    • 46. Spatial statistics and environmental epidemiology using routine data Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015674
      Description:

      The effect of the environment on health is of increasing concern, in particular the effects of the release of industrial pollutants into the air, the ground and into water. An assessment of the risks to public health of any particular pollution source is often made using the routine health, demographic and environmental data collected by government agencies. These datasets have important differences in sampling geography and in sampling epochs which affect the epidemiological analyses which draw them together. In the UK, health events are recorded for individuals, giving cause codes, a data of diagnosis or death, and using the unit postcode as a geographical reference. In contrast, small area demographic data are recorded only at the decennial census, and released as area level data in areas distinct from postcode geography. Environmental exposure data may be available at yet another resolution, depending on the type of exposure and the source of the measurements.

      Release date: 2000-03-02
    • 47. Diagnostics for comparison and combined use of diary and interview data from the U.S. consumer expenditure survey Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015686
      Description:

      The U.S. Consumer Expenditure Survey uses two instruments, a diary and an in-person interview, to collect data on many categories of consumer expenditures. Consequently, it is important to use these data efficiently to estimate mean expenditures and related parameters. Three options are: (1) use only data from the diary source; (2) Use only data from the interview source; and (3) use generalized least squares, or related methods, to combine the diary and interview data. Historically, the U.S. Bureau of Labor Statistics has focused on options (1) and (2) for estimation at the five or six-digit Universal Classification Code level. Evaluation and possible implementation of option (3) depends on several factors, including possible measurement biases in the diary and interview data; the empirical magnitude of these biases, relative to the standard errors of customary mean estimators; and the degree of homogeneity of these biases across strata and periods. This paper reviews some issues related to options (1) through (3); describes a relatively simple generalized least squares method for implementation of option (3); and discussed the need for diagnostics to evaluate the feasibility and relative efficiency of the generalized least squares method.

      Release date: 2000-03-02
    • 48. A method of generating a sample of artificial data from several existing tables: Application based on the residential electric power market Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015690
      Description:

      The artificial sample was generated in two steps. The first step, based on a master panel, was a Multiple Correspondence Analysis (MCA) carried out on basic variables. Then, "dummy" individuals were generated randomly using the distribution of each "significant" factor in the analysis. Finally, for each individual, a value was generated for each basic variable most closely linked to one of the previous factors. This method ensured that sets of variables were drawn independently. The second step consisted in grafting some other data bases, based on certain property requirements. A variable was generated to be added on the basis of its estimated distribution, using a generalized linear model for common variables and those already added. The same procedure was then used to graft the other samples. This method was applied to the generation of an artificial sample taken from two surveys. The artificial sample that was generated was validated using sample comparison testing. The results were positive, demonstrating the feasibility of this method.

      Release date: 2000-03-02
    • 49. Using meta-analysis to understand the impact of time-of-use rates Archived
      Surveys and statistical programs – Documentation: 11-522-X19990015692
      Description:

      Electricity rates that vary by time-of-day have the potential to significantly increase economic efficiency in the energy market. A number of utilities have undertaken economic studies of time-of-use rates schemes for their residential customers. This paper uses meta-analysis to examine the impact of time-of-use rates on electricity demand pooling the results of thirty-eight separate programs. There are four key findings. First, very large peak to off-peak price ratios are needed to significantly affect peak demand. Second, summer peak rates are relatively effective compared to winter peak rates. Third, permanent time-or-use rates are relatively effective compared to experimental ones. Fourth, demand charges rival ordinary time-of-use rates in terms of impact.

      Release date: 2000-03-02
    • 50. Multilevel modeling of complex data structures with multiple unit membership and missing unit identifications Archived
      Surveys and statistical programs – Documentation: 11-522-X19980015018
      Description:

      This paper presents a method for handling longitudinal data in which individuals belong to more than one unit at a higher level, and also where there is missing information on the identification of the units to which they belong. In education, for example, a student might be classified as belonging sequentially to a particular combination of primary and secondary school, but for some students, the identity of either the primary or secondary school may be unknown. Likewise, in a longitudinal study, students may change school or class from one period to the next, so 'belonging' to more than one higher level unit. The procedures used to model these stuctures are extensions of a random effects cross-classified multilevel model.

      Release date: 1999-10-22
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