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  • Articles and reports: 12-001-X198700214608
    Description:

    A hybrid technique is described that employs both conventional and raking ratio estimation to handle the case when the population frequencies N_ij in a two-dimensional table are known, but some of the observed frequencies n_ij are small (or zero). Results are provided on the approach taken as it has evolved in the Corporate Statistics of Income Program over the last several years. Changes are still being considered and these will be discussed as well.

    Release date: 1987-12-15

  • Articles and reports: 12-001-X198700214609
    Description:

    The Hansen-Hurwitz (1943) strategy is known to be inferior to the Horvitz-Thompson (1952) strategy associated with a number of IPPS (inclusion probability proportional to size) sampling procedures. The present paper presents a simpler proof of these results and therefore has some pedagogic interest.

    Release date: 1987-12-15

  • Articles and reports: 12-001-X198700114465
    Description:

    The two-stage rejection rule telephone sample design described by Waksberg (1978) is modified to improve the efficiency of telephone surveys of the U.S. Black population. Experimental tests of sample design alternatives demonstrate that: a) use of rough stratification based on telephone exchange names and states; b) use of large cluster definitions (200 and 400 consecutive numbers) at the first stage; and c) rejection rules based on racial status of the household combine to offer improvements in the relative precision of a sample, given fixed resources. Cost and error models are examined to simulate design alternatives.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114466
    Description:

    This paper presents results from methodological experiments comparing telephone and face-to-face interviewing in surveys of the general population. The relatively low level of telephone ownership in the United Kingdom, especially among the less privileged, argues the need for a dual-mode approach combining telephone interviews with face-to-face interviews for those without telephones. This approach depends on the absence of differential mode-effects on the answers obtained or on the ability to account for these effects when they occur.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114467
    Description:

    Demands for statistics on all aspects of our lives, our society and our economy continue to grow. At the same time statistical agencies share with many respondents a growing concern over the mounting burden of response to surveys. One result of the search for alternative methods of satisfying statistical demands has been an increased emphasis on the use of administrative records for statistical purposes. This paper reviews recent experience at Statistics Canada in this area and discusses obstacles to the greater use of administrative records. Approaches to rendering administrative systems more useful for statistical purposes are reviewed, together with some important concerns related to information protection and record linkage.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114468
    Description:

    The National Agricultural Statistics Service, U.S. Department of Agriculture, conducts yield surveys for a variety of field crops in the United States. While field sampling procedures for various crops differ, the same basic survey design is used for all crops. The survey design and current estimators are reviewed. Alternative estimators of yield and production and of the variance of the estimators are presented. Current estimators and alternative estimators are compared, both theoretically and in a Monte Carlo simulation.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114509
    Description:

    This paper discusses three problems that have been a major preoccupation among researchers and practitioners of seasonal adjustment in statistical bureaus for the last ten years. These problems are: (l) the use of concurrent seasonal factors versus seasonal factor forecasts for current seasonal adjustment; (2) finding an optimal pattern of revisions for series seasonally adjusted with concurrent factors; and (3) smoothing highly irregular seasonally adjusted data.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114510
    Description:

    The method of minimum Q^(T) estimation for complex survey designs proposed by Singh (1985) provides asymptotically efficient estimates of model parameters analogous to Neyman’s (1949) min X^2 estimation procedure for simple random samples. The Q^(T) can be viewed as a X^2 type statistic for categorical survey data, and min Q^(T) estimates provide a robust alternative to Weighted Least Squares estimates, which often display unstable behaviour for complex surveys. In this paper, the min Q^(T) method is first described and then illustrated for the problem of estimating parameters of a logit model for survey estimates of unemployment rates which are obtained from the October 1980 Canadian LFS data cross-classified according to age-education covariate categories. It is seen that the trace efficiency of smoothed estimates obtained by Kumar and Rao (1986), who applied the method of pseudo maximum likelihood estimates (pseudo mle) to the same problem can be slightly improved by the min Q^(T) method. Interestingly enough, pseudo mle for individual cells behave much the same way as the efficient min Q^(T) estimates for the particular LFS example.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114511
    Description:

    A new unequal probability sampling scheme for selecting n(> 2) units without replacement from a finite population is proposed. This scheme ensures that the inclusion probabilities are proportional to sizes. It has the advantage of simplicity in selection and estimation and also provides a non-negative variance estimator. The variance of the Horvitz-Thompson (H-T) estimator under the proposed scheme is shown to be smaller than that of the customary estimator in probability proportional to size sampling with replacement. The proposed scheme also compares favourably with the without replacement scheme suggested by Sampford (1967) in an empirical study on a few natural populations.

    Release date: 1987-06-15

  • Articles and reports: 12-001-X198700114512
    Description:

    The Health and Activity Limitation Survey is part of the program to establish a data base on the disabled population in Canada. The sample design used for the part of the survey covering the population not living in institutions is described. In addition, the methods used to determine the sizes of the samples and to select the samples are presented.

    Release date: 1987-06-15
Stats in brief (1,469)

Stats in brief (1,469) (0 to 10 of 1,469 results)

Articles and reports (5,628)

Articles and reports (5,628) (10 to 20 of 5,628 results)

  • Articles and reports: 12-001-X201900100001
    Description:

    Demographers are facing increasing pressure to disaggregate their estimates and forecasts by characteristics such as region, ethnicity, and income. Traditional demographic methods were designed for large samples, and perform poorly with disaggregated data. Methods based on formal Bayesian statistical models offer better performance. We illustrate with examples from a long-term project to develop Bayesian approaches to demographic estimation and forecasting. In our first example, we estimate mortality rates disaggregated by age and sex for a small population. In our second example, we simultaneously estimate and forecast obesity prevalence disaggregated by age. We conclude by addressing two traditional objections to the use of Bayesian methods in statistical agencies.

    Release date: 2019-05-07

  • Articles and reports: 12-001-X201900100002
    Description:

    Item nonresponse is frequently encountered in sample surveys. Hot-deck imputation is commonly used to fill in missing item values within homogeneous groups called imputation classes. We propose a fractional hot-deck imputation procedure and an associated empirical likelihood for inference on the population mean of a function of a variable of interest with missing data under probability proportional to size sampling with negligible sampling fractions. We derive the limiting distributions of the maximum empirical likelihood estimator and empirical likelihood ratio, and propose two related asymptotically valid bootstrap procedures to construct confidence intervals for the population mean. Simulation studies show that the proposed bootstrap procedures outperform the customary bootstrap procedures which are shown to be asymptotically incorrect when the number of random draws in the fractional imputation is fixed. Moreover, the proposed bootstrap procedure based on the empirical likelihood ratio is seen to perform significantly better than the method based on the limiting distribution of the maximum empirical likelihood estimator when the inclusion probabilities vary considerably or when the sample size is not large.

    Release date: 2019-05-07

  • Articles and reports: 12-001-X201900100003
    Description:

    In this short article, I will attempt to provide some highlights of my chancy life as a Statistician in chronological order spanning over sixty years, 1954 to present.

    Release date: 2019-05-07

  • Articles and reports: 12-001-X201900100004
    Description:

    In this paper, we make use of auxiliary information to improve the efficiency of the estimates of the censored quantile regression parameters. Utilizing the information available from previous studies, we computed empirical likelihood probabilities as weights and proposed weighted censored quantile regression. Theoretical properties of the proposed method are derived. Our simulation studies shown that our proposed method has advantages compared to standard censored quantile regression.

    Release date: 2019-05-07

  • Articles and reports: 12-001-X201900100005
    Description:

    Small area estimation using area-level models can sometimes benefit from covariates that are observed subject to random errors, such as covariates that are themselves estimates drawn from another survey. Given estimates of the variances of these measurement (sampling) errors for each small area, one can account for the uncertainty in such covariates using measurement error models (e.g., Ybarra and Lohr, 2008). Two types of area-level measurement error models have been examined in the small area estimation literature. The functional measurement error model assumes that the underlying true values of the covariates with measurement error are fixed but unknown quantities. The structural measurement error model assumes that these true values follow a model, leading to a multivariate model for the covariates observed with error and the original dependent variable. We compare and contrast these two models with the alternative of simply ignoring measurement error when it is present (naïve model), exploring the consequences for prediction mean squared errors of use of an incorrect model under different underlying assumptions about the true model. Comparisons done using analytic formulas for the mean squared errors assuming model parameters are known yield some surprising results. We also illustrate results with a model fitted to data from the U.S. Census Bureau’s Small Area Income and Poverty Estimates (SAIPE) Program.

    Release date: 2019-05-07

  • Articles and reports: 12-001-X201900100006
    Description:

    The empirical predictor under an area level version of the generalized linear mixed model (GLMM) is extensively used in small area estimation (SAE) for counts. However, this approach does not use the sampling weights or clustering information that are essential for valid inference given the informative samples produced by modern complex survey designs. This paper describes an SAE method that incorporates this sampling information when estimating small area proportions or counts under an area level version of the GLMM. The approach is further extended under a spatial dependent version of the GLMM (SGLMM). The mean squared error (MSE) estimation for this method is also discussed. This SAE method is then applied to estimate the extent of household poverty in different districts of the rural part of the state of Uttar Pradesh in India by linking data from the 2011-12 Household Consumer Expenditure Survey collected by the National Sample Survey Office (NSSO) of India, and the 2011 Indian Population Census. Results from this application indicate a substantial gain in precision for the new methods compared to the direct survey estimates.

    Release date: 2019-05-07

  • Articles and reports: 12-001-X201900100007
    Description:

    The Horvitz-Thompson (HT) estimator is widely used in survey sampling. However, the variance of the HT estimator becomes large when the inclusion probabilities are highly heterogeneous. To overcome this shortcoming, in this paper we propose a hard-threshold method for the first-order inclusion probabilities. Specifically, we carefully choose a threshold value, then replace the inclusion probabilities smaller than the threshold by the threshold. Through this shrinkage strategy, we construct a new estimator called the improved Horvitz-Thompson (IHT) estimator to estimate the population total. The IHT estimator increases the estimation accuracy much although it brings a bias which is relatively small. We derive the IHT estimator’s mean squared error and its unbiased estimator, and theoretically compare the IHT estimator with the HT estimator. We also apply our idea to construct an improved ratio estimator. We numerically analyze simulated and real data sets to illustrate that the proposed estimators are more efficient and robust than the classical estimators.

    Release date: 2019-05-07

  • Articles and reports: 12-001-X201900100008
    Description:

    This paper studies small area quantile estimation under a unit level non-parametric nested-error regression model. We assume the small area specific error distributions satisfy a semi-parametric density ratio model. We fit the non-parametric model via the penalized spline regression method of Opsomer, Claeskens, Ranalli, Kauermann and Breidt (2008). Empirical likelihood is then applied to estimate the parameters in the density ratio model based on the residuals. This leads to natural area-specific estimates of error distributions. A kernel method is then applied to obtain smoothed error distribution estimates. These estimates are then used for quantile estimation in two situations: one is where we only have knowledge of covariate power means at the population level, the other is where we have covariate values of all sample units in the population. Simulation experiments indicate that the proposed methods for small area quantiles estimation work well for quantiles around the median in the first situation, and for a broad range of the quantiles in the second situation. A bootstrap mean square error estimator of the proposed estimators is also investigated. An empirical example based on Canadian income data is included.

    Release date: 2019-05-07

  • Articles and reports: 12-001-X201900100009
    Description:

    The demand for small area estimates by users of Statistics Canada’s data has been steadily increasing over recent years. In this paper, we provide a summary of procedures that have been incorporated into a SAS based production system for producing official small area estimates at Statistics Canada. This system includes: procedures based on unit or area level models; the incorporation of the sampling design; the ability to smooth the design variance for each small area if an area level model is used; the ability to ensure that the small area estimates add up to reliable higher level estimates; and the development of diagnostic tools to test the adequacy of the model. The production system has been used to produce small area estimates on an experimental basis for several surveys at Statistics Canada that include: the estimation of health characteristics, the estimation of under-coverage in the census, the estimation of manufacturing sales and the estimation of unemployment rates and employment counts for the Labour Force Survey. Some of the diagnostics implemented in the system are illustrated using Labour Force Survey data along with administrative auxiliary data.

    Release date: 2019-05-07

  • Articles and reports: 85-002-X201900100009
    Description:

    This Juristat article presents information on the nature and extent of crime in the rural areas of the Canadian provinces. This includes analysis of recent trends in crime rates and severity in rural and urban areas, both at the national and provincial levels. The report also examines the specific nature and extent of crime in rural areas of the provincial North. Analysis uses police-reported data from the Uniform Crime Reporting Survey and the Homicide Survey, as well as self-reported data from General Social Survey on Canadians' Safety (Victimization).

    Release date: 2019-05-07
Journals and periodicals (312)

Journals and periodicals (312) (0 to 10 of 312 results)

  • Journals and periodicals: 89-28-0001
    Description:

    Short and focused data tables related to current events.

    Release date: 2019-05-17

  • Table: 51-004-X
    Description:

    This bulletin presents the most up-to-date available information extracted from all of the Aviation Statistics Centre's surveys. Regular features include releases on principal statistics for Canada's major air carriers, airport data, fare basis statistics and traffic data for Canada's most important markets.

    Release date: 2019-05-16

  • Journals and periodicals: 85-002-X
    Geography: Canada
    Description:

    This publication provides in-depth analysis and detailed statistics on a variety of topics and issues related to justice and public safety. Topics include crime, victimization, homicide, civil, family and criminal courts, and correctional services. Issues related to community safety, and perceptions of safety are also covered. The publication is intended for those with an interest in Canada's justice and public safety systems as well as those who plan, establish, administer and evaluate programs and projects related to justice and public safety.

    Release date: 2019-05-16

  • Journals and periodicals: 11-627-M
    Description:

    Every year, Statistics Canada collects data from hundreds of surveys. As the amount of data gathered increases, Statistics Canada has introduced infographics to help people, business owners, academics, and management at all levels, understand key information derived from the data. Infographics can be used to quickly communicate a message, to simplify the presentation of large amounts of data, to see data patterns and relationships, and to monitor changes in variables over time.

    These infographics will provide a quick overview of Statistics Canada survey data.

    Release date: 2019-05-15

  • Journals and periodicals: 75-006-X
    Geography: Canada
    Description:

    This publication brings together and analyzes a wide range of data sources in order to provide information on various aspects of Canadian society, including labour, income, education, social, and demographic issues, that affect the lives of Canadians.

    Release date: 2019-05-15

  • Journals and periodicals: 82-003-X
    Geography: Canada
    Description:

    Health Reports, published by the Health Analysis Division of Statistics Canada, is a peer-reviewed journal of population health and health services research. It is designed for a broad audience that includes health professionals, researchers, policymakers, and the general public. The journal publishes articles of wide interest that contain original and timely analyses of national or provincial/territorial surveys or administrative databases. New articles are published electronically each month.

    Health Reports had an impact factor of 2.479 for 2016 and a five-year impact factor of 3.959. All articles are indexed in PubMed. Our online catalogue is free and receives more than 500,000 visits per year. External submissions are welcome.

    Release date: 2019-05-15

  • Journals and periodicals: 11F0019M
    Geography: Canada
    Description:

    The Analytical Studies Branch Research Paper Series provides for the circulation of research conducted by Analytical Studies Branch staff and collaborators. The Series is intended to stimulate discussion on a variety of topics, such as labour, immigration, education and skills, income mobility, well-being, aging, firm dynamics, productivity, economic transitions, and economic geography. Readers of the Series are encouraged to contact the authors with their comments and suggestions. All the papers in the Analytical Studies Branch Research Paper Series go through institutional and peer review to ensure that they conform to Statistics Canada's mandate as a governmental statistical agency and adhere to generally accepted standards of good professional practice.

    Release date: 2019-05-13

  • Journals and periodicals: 11-631-X
    Description:

    Statistics Canada engages regularly with Canadians to discuss statistical findings about the country’s economy, society and environment. Events are held in various cities throughout the year to discuss the use of statistics in many fields. These events provide Statistics Canada with an opportunity to promote the role of official statistics and better understand data users’ needs.

    This series provides online access to the presentations that were made at outreach events with data users.

    Release date: 2019-05-10

  • Journals and periodicals: 11-626-X
    Geography: Canada
    Description:

    Articles in the Economic Insights series highlight issues related to the growth and development of Canada's economy. In some cases, these articles highlight new insights or synthesize the results of previous research carried out by Statistics Canada; in others, they provide contextual information that accompanies the release of new data or updates from previous papers. The Economic Insights series features concise examinations of economic events, research results, trends, and important structural changes in the economy.

    Release date: 2019-05-08

  • Journals and periodicals: 12-001-X
    Geography: Canada
    Description:

    The journal publishes articles dealing with various aspects of statistical development relevant to a statistical agency, such as design issues in the context of practical constraints, use of different data sources and collection techniques, total survey error, survey evaluation, research in survey methodology, time series analysis, seasonal adjustment, demographic studies, data integration, estimation and data analysis methods, and general survey systems development. The emphasis is placed on the development and evaluation of specific methodologies as applied to data collection or the data themselves.

    Release date: 2019-05-07
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