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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) (40 to 50 of 189 results)

41. User's Guide for Cross-Sectional Public-Use Microdata File: Survey of Labour and Income Dynamics (SLID), 2010 Archived
Articles and reports: 75F0002M2013001
Description:
This series provides detailed documentation on income developments, including survey design issues, data quality evaluation and exploratory research for the Survey of Labour and Income Dynamics in 2010.
Release date: 2013-03-26
42. Multiple imputation with census data Archived
Articles and reports: 12-001-X201200211759
Description:
A benefit of multiple imputation is that it allows users to make valid inferences using standard methods with simple combining rules. Existing combining rules for multivariate hypothesis tests fail when the sampling error is zero. This paper proposes modified tests for use with finite population analyses of multiply imputed census data for the applications of disclosure limitation and missing data and evaluates their frequentist properties through simulation.
Release date: 2012-12-19
43. Analyzing Census microdata in an RDC: What weight to use? Archived
Articles and reports: 12-002-X201200111642
Description:
It is generally recommended that weighted estimation approaches be used when analyzing data from a long-form census microdata file. Since such data files are now available in the RDC's, there is a need to provide researchers there with more information about doing weighted estimation with these files. The purpose of this paper is to provide some of this information - in particular, how the weight variables were derived for the census microdata files and what weight should be used for different units of analysis. For the 1996, 2001 and 2006 censuses the same weight variable is appropriate regardless of whether people, families or households are being studied. For the 1991 census, recommendations are more complex: a different weight variable is required for households than for people and families, and additional restrictions apply to obtain the correct weight value for families.
Release date: 2012-10-25
44. A statistical approach to detect interviewer falsification of survey data Archived
Articles and reports: 12-001-X201200111680
Description:
Survey data are potentially affected by interviewer falsifications with data fabrication being the most blatant form. Even a small number of fabricated interviews might seriously impair the results of further empirical analysis. Besides reinterviews, some statistical approaches have been proposed for identifying this type of fraudulent behaviour. With the help of a small dataset, this paper demonstrates how cluster analysis, which is not commonly employed in this context, might be used to identify interviewers who falsify their work assignments. Several indicators are combined to classify 'at risk' interviewers based solely on the data collected. This multivariate classification seems superior to the application of a single indicator such as Benford's law.
Release date: 2012-06-27
45. On sample allocation for efficient domain estimation Archived
Articles and reports: 12-001-X201200111682
Description:
Sample allocation issues are studied in the context of estimating sub-population (stratum or domain) means as well as the aggregate population mean under stratified simple random sampling. A non-linear programming method is used to obtain "optimal" sample allocation to strata that minimizes the total sample size subject to specified tolerances on the coefficient of variation of the estimators of strata means and the population mean. The resulting total sample size is then used to determine sample allocations for the methods of Costa, Satorra and Ventura (2004) based on compromise allocation and Longford (2006) based on specified "inferential priorities". In addition, we study sample allocation to strata when reliability requirements for domains, cutting across strata, are also specified. Performance of the three methods is studied using data from Statistics Canada's Monthly Retail Trade Survey (MRTS) of single establishments.
Release date: 2012-06-27
46. Variance inflation factors in the analysis of complex survey data Archived
Articles and reports: 12-001-X201200111685
Description:
Survey data are often used to fit linear regression models. The values of covariates used in modeling are not controlled as they might be in an experiment. Thus, collinearity among the covariates is an inevitable problem in the analysis of survey data. Although many books and articles have described the collinearity problem and proposed strategies to understand, assess and handle its presence, the survey literature has not provided appropriate diagnostic tools to evaluate its impact on regression estimation when the survey complexities are considered. We have developed variance inflation factors (VIFs) that measure the amount that variances of parameter estimators are increased due to having non-orthogonal predictors. The VIFs are appropriate for survey-weighted regression estimators and account for complex design features, e.g., weights, clusters, and strata. Illustrations of these methods are given using a probability sample from a household survey of health and nutrition.
Release date: 2012-06-27
47. Estimating agreement coefficients from sample survey data Archived
Articles and reports: 12-001-X201200111686
Description:
We present a generalized estimating equations approach for estimating the concordance correlation coefficient and the kappa coefficient from sample survey data. The estimates and their accompanying standard error need to correctly account for the sampling design. Weighted measures of the concordance correlation coefficient and the kappa coefficient, along with the variance of these measures accounting for the sampling design, are presented. We use the Taylor series linearization method and the jackknife procedure for estimating the standard errors of the resulting parameter estimates. Body measurement and oral health data from the Third National Health and Nutrition Examination Survey are used to illustrate this methodology.
Release date: 2012-06-27
48. Combining synthetic data with subsampling to create public use microdata files for large scale surveys Archived
Articles and reports: 12-001-X201200111687
Description:
To create public use files from large scale surveys, statistical agencies sometimes release random subsamples of the original records. Random subsampling reduces file sizes for secondary data analysts and reduces risks of unintended disclosures of survey participants' confidential information. However, subsampling does not eliminate risks, so that alteration of the data is needed before dissemination. We propose to create disclosure-protected subsamples from large scale surveys based on multiple imputation. The idea is to replace identifying or sensitive values in the original sample with draws from statistical models, and release subsamples of the disclosure-protected data. We present methods for making inferences with the multiple synthetic subsamples.
Release date: 2012-06-27
49. Why one should incorporate the design weights when adjusting for unit nonresponse using response homogeneity groups Archived
Articles and reports: 12-001-X201200111689
Description:
When there is unit (whole-element) nonresponse in a survey sample drawn using probability-sampling principles, a common practice is to divide the sample into mutually exclusive groups in such a way that it is reasonable to assume that each sampled element in a group were equally likely to be a survey nonrespondent. In this way, unit response can be treated as an additional phase of probability sampling with the inverse of the estimated probability of unit response within a group serving as an adjustment factor when computing the final weights for the group's respondents. If the goal is to estimate the population mean of a survey variable that roughly behaves as if it were a random variable with a constant mean within each group regardless of the original design weights, then incorporating the design weights into the adjustment factors will usually be more efficient than not incorporating them. In fact, if the survey variable behaved exactly like such a random variable, then the estimated population mean computed with the design-weighted adjustment factors would be nearly unbiased in some sense (i.e., under the combination of the original probability-sampling mechanism and a prediction model) even when the sampled elements within a group are not equally likely to respond.
Release date: 2012-06-27
50. Modelling of complex survey data: Why model? Why is it a problem? How can we approach it? Archived
Articles and reports: 12-001-X201100211602
Description:
This article attempts to answer the three questions appearing in the title. It starts by discussing unique features of complex survey data not shared by other data sets, which require special attention but suggest a large variety of diverse inference procedures. Next a large number of different approaches proposed in the literature for handling these features are reviewed with discussion on their merits and limitations. The approaches differ in the conditions underlying their use, additional data required for their application, goodness of fit testing, the inference objectives that they accommodate, statistical efficiency, computational demands, and the skills required from analysts fitting the model. The last part of the paper presents simulation results, which compare the approaches when estimating linear regression coefficients from a stratified sample in terms of bias, variance, and coverage rates. It concludes with a short discussion of pending issues.
Release date: 2011-12-21

Reference (57)

Reference (57) (30 to 40 of 57 results)

31. The Micro-Economic Analysis Division: The Role of Analysis in Delivering Information Products Archived
Surveys and statistical programs – Documentation: 11F0026M2004001
Description:
This paper describes how the analytical program of Statistics Canada's productivity group is used to enhance the quality (relevance, coherence, interpretability) of its products.
Release date: 2004-07-08
32. A study of data revisions to the National Tourism Indicators Archived
Surveys and statistical programs – Documentation: 13-009-X20030046842
Description:
How good are the National Tourism Indicators (NTI)? How can their quality be measured? This study looks to answer these questions through analysis of the revisions to the NTI estimates for the period 1997 through 2001.
Release date: 2004-03-30
33. Measurement of Output, Value Added, GDP in Canada and the United States: Similarities and Differences Archived
Surveys and statistical programs – Documentation: 13F0031M2003010
Description:
This document provides compilers and users in Canada and the United States with a fuller understanding of the present practices, similarities and differences between the two national accounts systems. This will enable users to make meaningful comparisons of the published national accounts data. This report is the result of the co-operation between professionals of the two countries in trying to harmonize and improve the respective national accounts, and hopefully, in due course, international standards.
Release date: 2003-06-20
34. 2001 Census Handbook (Reference Products: 2001 Census) Archived
Surveys and statistical programs – Documentation: 92-379-X
Description:
The 2001 Census Handbook is a reference tool covering every aspect of the 2001 Census of Population and Census of Agriculture. It provides an overview of every phase of the census, from content determination to data dissemination. It traces the history of the census from the early days of New France to the present. It also contains information about the protection of confidential information in census questions and variables, along with information about data quality and the possible uses of census data. Also covered are census geography and the range of products and services available from the 2001 Census database.
This series includes six general reference products: Preview of Products and Services, Census Dictionary, Catalogue, Standard Products Stubsets, Census Handbook and Technical Reports.
Release date: 2002-08-06
35. Meeting of users and provincial providers of science and technology statistics Archived
Notices and consultations: 88-003-X20010015591
Geography: Canada
Description:
The Quebec Institute of Statistics hosted a forum for Statistics Canada and provincial government experts dealing with the subject of science and technology statistics.
Release date: 2001-03-13
36. Changes in the Outputs of Annual Retail Trade Surveys Archived
Notices and consultations: 63F0022X
Description:
Statistics Canada's annual retail trade surveys are undergoing changes. Two activities underlie these changes. The re-design of our annual retail trade questionnaires is one. The other is the conversion from the 1980 Standard Industrial Classification (1980 SIC) to the North American Industrial Classification System (NAICS). These activities will have significant impacts on the output of the annual surveys.
This paper has two goals. The first is to inform retail store data users, industry analysts, trade associations and other stakeholders about these changes. The second is to consult with stakeholders on possible data outputs resulting from the changes.
The paper is organized into five parts. Following the introduction, Part II describes the outputs from the current surveys and compares and contrasts the current outputs with the new. Part III focuses on the introduction of NAICS codes and the changes in coverage for retail trade. In Part IV, the benefits resulting from the above changes are outlined. The final part (Part V) seeks comments or suggestions from data users, retail trade associations and industry specialists on the release of data products as a result of the changes to the surveys.
Release date: 2001-02-01
37. Labour Market and Income Data Guide Archived
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
38. Useful Information for Manufacturers and Exporters Archived
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
39. Statistical processing in the next millennium Archived
Surveys and statistical programs – Documentation: 11-522-X19990015640
Description:
This paper states how SN is preparing for a new era in the making of statistics, as it is triggered by technological and methodological developments. An essential feature of the turn to the new era is the farewell to the stovepipe way of data processing. The paper discusses how new technological and methodological tools will affect processes and their organization. Special emphasis is put on one of the major chances and challenges the new tools offer: establishing coherence in the content of statistics and in the presentation to users.
Release date: 2000-03-02
40. Combining administrative data with survey data: experience in the Australian survey of employment and unemployment patterns Archived
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

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