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All (54)

All (54) (30 to 40 of 54 results)

  • 31. Multi-way stratification by linear programming Archived
    Articles and reports: 12-001-X199400114430
    Description:

    Rao and Nigam (1990, 1992) showed how a class of controlled sampling designs can be implemented using linear programming. In this article their approach is applied to multi-way stratification. A comparison is made with existing methods both by illustrating the sampling schemes generated for specific examples and by evaluating mean squared errors. The proposed approach is relatively simple to use and appears to have reasonable mean squared error properties. The computations required can, however, increase rapidly as the number of cells in the multi-way classification increase. Variance estimation is also considered.

    Release date: 1994-06-15
  • 32. Probability proportional to size (PPS) sampling over two occasions Archived
    Articles and reports: 12-001-X199400114431
    Description:

    The Random Group Method for sampling with probability proportional to size (PPS) is extended to sampling over two occasions. Information on a study variate observed on the first occasion is used to select the matched portion of the sample on the second occasion. Two real data sets are considered for numerical illustration and for comparison with other existing methods.

    Release date: 1994-06-15
  • 33. Estimation in overlapping clusters with unknown population size Archived
    Articles and reports: 12-001-X199400114432
    Description:

    Two sampling strategies for estimation of population mean in overlapping clusters with known population size have been proposed by Singh (1988). In this paper, ratio estimators under these two strategies are studied assuming the actual population size to be unknown, which is the more realistic situation in sample surveys. The sampling efficiencies of the two strategies are compared and a numerical illustration is provided.

    Release date: 1994-06-15
  • 34. Jackknife variance estimation of imputed survey data Archived
    Articles and reports: 12-001-X199400114433
    Description:

    Imputation is a common technique employed by survey-taking organizations in order to address the problem of item nonresponse. While in most of the cases the resulting completed data sets provide good estimates of means and totals, the corresponding variances are often grossly underestimated. A number of methods to remedy this problem exists, but most of them depend on the sampling design and the imputation method. Recently, Rao (1992), and Rao and Shao (1992) have proposed a unified jackknife approach to variance estimation of imputed data sets. The present paper explores this technique empirically, using a real population of businesses, under a simple random sampling design and a uniform nonresponse mechanism. Extensions to stratified multistage sample designs are considered, and the performance of the proposed variance estimator under non-uniform response mechanisms is briefly investigated.

    Release date: 1994-06-15
  • 35. Time series EBLUPS for small areas using survey data Archived
    Articles and reports: 12-001-X199400114434
    Description:

    In estimation for small areas it is common to borrow strength from other small areas since the direct survey estimates often have large sampling variability. A class of methods called composite estimation addresses the problem by using a linear combination of direct and synthetic estimators. The synthetic component is based on a model which connects small area means cross-sectionally (over areas) and/or over time. A cross-sectional empirical best linear unbiased predictor (EBLUP) is a composite estimator based on a linear regression model with small area effects. In this paper we consider three models to generalize the cross-sectional EBLUP to use data from more than one time point. In the first model, regression parameters are random and serially dependent but the small area effects are assumed to be independent over time. In the second model, regression parameters are nonrandom and may take common values over time but the small area effects are serially dependent. The third model is more general in that regression parameters and small area effects are assumed to be serially dependent. The resulting estimators, as well as some cross-sectional estimators, are evaluated using bi-annual data from Statistics Canada’s National Farm Survey and January Farm Survey.

    Release date: 1994-06-15
  • 36. Small domain estimation for unequal probability survey designs Archived
    Articles and reports: 12-001-X199400114435
    Description:

    The problem of estimating domain totals and means from sample survey data is common. When the domain is large, the observed sample is generally large enough that direct, design-based estimators are sufficiently accurate. But when the domain is small, the observed sample size is small and direct estimators are inadequate. Small area estimation is a particular case in point and alternative methods such as synthetic estimation or model-based estimators have been developed. The two usual facets of such methods are that information is ‘borrowed’ from other small domains (or areas) so as to obtain more precise estimators of certain parameters and these are then combined with auxiliary information, such as population means or totals, from each small area in turn to obtain a more precise estimate of the domain (or area) mean or total. This paper describes a case involving unequal probability sampling in which no auxiliary population means or totals are available and borrowing strength from other domains is not allowed and yet simple model-based estimators are developed which appear to offer substantial efficiency gains. The approach is motivated by an application to market research but the methods are more widely applicable.

    Release date: 1994-06-15
  • 37. Issues and strategies for small area data Archived
    Articles and reports: 12-001-X199400114436
    Description:

    This paper identifies some technical issues in the provision of small area data derived from censuses, administrative records and surveys. Although the issues are of a general nature, they are discussed in the context of programs at Statistics Canada. For survey-based estimates, the need for developing an overall strategy is stressed and salient features of survey design that have an impact on small area data are highlighted in the context of redesigning a household survey. A brief review of estimation methods with their strengths and weaknesses is also presented.

    Release date: 1994-06-15
  • 38. Working "9 to 5" Archived
    Articles and reports: 75-001-X1994002117
    Geography: Canada
    Description:

    An analysis of the characteristics of full-time paid workers with fixed daytime schedules.

    Release date: 1994-06-01
  • 39. Left behind: Lone mothers in the labour market Archived
    Articles and reports: 75-001-X1994002136
    Geography: Canada
    Description:

    The sluggish employment situation of lone mothers is examined in terms of their marital status.

    Release date: 1994-06-01
  • 40. Weekend workers Archived
    Articles and reports: 75-001-X199400217
    Geography: Canada
    Description:

    Weekend workers - who are they, and when and where do they work?

    Release date: 1994-06-01
Stats in brief (3)

Stats in brief (3) ((3 results))

  • 1. Baby boom women Archived
    Stats in brief: 75-001-X19940041563
    Geography: Canada
    Description:

    A comparison of the employment characteristics of women born in the early years of the baby boom with those of women born in the later years.

    Release date: 1994-12-14
  • 2. The Tourism Satellite Account Archived
    Stats in brief: 13-604-M1994031
    Description:

    There has been growing interest in recent years about the scope of tourism in Canada. In response to this demand for information, Statistics Canada has developed a Tourism Satellite Account (TSA) which provides some answers to questions such as: Which industries constitute 'the tourism industry'? What are the industry's gross domestic product (GDP) and employment rates? And what is the extent of tourism-related expenditures?

    This article reports on the research that Statistics Canada has undertaken as part of an ongoing examination of the tourism industry.

    Release date: 1994-08-31
  • 3. National Income and Expenditure Accounts: Revised Estimates for the Period from 1990 to 1993 Archived
    Stats in brief: 13-604-M1994029
    Description:

    Revised estimates of the Income and Expenditure Accounts (IEA) covering 1990 to 1993 have been released along with the estimates for the first quarter of 1994. These revised estimates reflect the most current source data and seasonal patterns. The annual revision of the different parts of the System of National Accounts is an integrated process. Revised estimates of two other parts of the system, the Balance of International Payments and Financial Flow Accounts, have been released simultaneously. Corresponding revisions to the monthly estimates of the gross domestic product (GDP), by industry and to the Input-Output Accounts at current and constant prices will be available at the end of August.

    The first section of this paper reviews the current revisions to the GDP and the main aggregates. The second section analyses the revision patterns of selected income and expenditure aggregates of the GDP over the period 1980 to 1993. For further information on sources, methods and definitions employed in the IE A, refer to the Guide to the Income and Expenditure Accounts, Catalogue no. 13-603E, no. 1.

    Release date: 1994-05-30
Articles and reports (51)

Articles and reports (51) (30 to 40 of 51 results)

  • 31. Estimation in overlapping clusters with unknown population size Archived
    Articles and reports: 12-001-X199400114432
    Description:

    Two sampling strategies for estimation of population mean in overlapping clusters with known population size have been proposed by Singh (1988). In this paper, ratio estimators under these two strategies are studied assuming the actual population size to be unknown, which is the more realistic situation in sample surveys. The sampling efficiencies of the two strategies are compared and a numerical illustration is provided.

    Release date: 1994-06-15
  • 32. Jackknife variance estimation of imputed survey data Archived
    Articles and reports: 12-001-X199400114433
    Description:

    Imputation is a common technique employed by survey-taking organizations in order to address the problem of item nonresponse. While in most of the cases the resulting completed data sets provide good estimates of means and totals, the corresponding variances are often grossly underestimated. A number of methods to remedy this problem exists, but most of them depend on the sampling design and the imputation method. Recently, Rao (1992), and Rao and Shao (1992) have proposed a unified jackknife approach to variance estimation of imputed data sets. The present paper explores this technique empirically, using a real population of businesses, under a simple random sampling design and a uniform nonresponse mechanism. Extensions to stratified multistage sample designs are considered, and the performance of the proposed variance estimator under non-uniform response mechanisms is briefly investigated.

    Release date: 1994-06-15
  • 33. Time series EBLUPS for small areas using survey data Archived
    Articles and reports: 12-001-X199400114434
    Description:

    In estimation for small areas it is common to borrow strength from other small areas since the direct survey estimates often have large sampling variability. A class of methods called composite estimation addresses the problem by using a linear combination of direct and synthetic estimators. The synthetic component is based on a model which connects small area means cross-sectionally (over areas) and/or over time. A cross-sectional empirical best linear unbiased predictor (EBLUP) is a composite estimator based on a linear regression model with small area effects. In this paper we consider three models to generalize the cross-sectional EBLUP to use data from more than one time point. In the first model, regression parameters are random and serially dependent but the small area effects are assumed to be independent over time. In the second model, regression parameters are nonrandom and may take common values over time but the small area effects are serially dependent. The third model is more general in that regression parameters and small area effects are assumed to be serially dependent. The resulting estimators, as well as some cross-sectional estimators, are evaluated using bi-annual data from Statistics Canada’s National Farm Survey and January Farm Survey.

    Release date: 1994-06-15
  • 34. Small domain estimation for unequal probability survey designs Archived
    Articles and reports: 12-001-X199400114435
    Description:

    The problem of estimating domain totals and means from sample survey data is common. When the domain is large, the observed sample is generally large enough that direct, design-based estimators are sufficiently accurate. But when the domain is small, the observed sample size is small and direct estimators are inadequate. Small area estimation is a particular case in point and alternative methods such as synthetic estimation or model-based estimators have been developed. The two usual facets of such methods are that information is ‘borrowed’ from other small domains (or areas) so as to obtain more precise estimators of certain parameters and these are then combined with auxiliary information, such as population means or totals, from each small area in turn to obtain a more precise estimate of the domain (or area) mean or total. This paper describes a case involving unequal probability sampling in which no auxiliary population means or totals are available and borrowing strength from other domains is not allowed and yet simple model-based estimators are developed which appear to offer substantial efficiency gains. The approach is motivated by an application to market research but the methods are more widely applicable.

    Release date: 1994-06-15
  • 35. Issues and strategies for small area data Archived
    Articles and reports: 12-001-X199400114436
    Description:

    This paper identifies some technical issues in the provision of small area data derived from censuses, administrative records and surveys. Although the issues are of a general nature, they are discussed in the context of programs at Statistics Canada. For survey-based estimates, the need for developing an overall strategy is stressed and salient features of survey design that have an impact on small area data are highlighted in the context of redesigning a household survey. A brief review of estimation methods with their strengths and weaknesses is also presented.

    Release date: 1994-06-15
  • 36. Working "9 to 5" Archived
    Articles and reports: 75-001-X1994002117
    Geography: Canada
    Description:

    An analysis of the characteristics of full-time paid workers with fixed daytime schedules.

    Release date: 1994-06-01
  • 37. Left behind: Lone mothers in the labour market Archived
    Articles and reports: 75-001-X1994002136
    Geography: Canada
    Description:

    The sluggish employment situation of lone mothers is examined in terms of their marital status.

    Release date: 1994-06-01
  • 38. Weekend workers Archived
    Articles and reports: 75-001-X199400217
    Geography: Canada
    Description:

    Weekend workers - who are they, and when and where do they work?

    Release date: 1994-06-01
  • 39. Spending patterns of couples without children Archived
    Articles and reports: 75-001-X199400233
    Geography: Canada
    Description:

    A look at how the 1992 expenditure of couples without children varied according to the age of the partners.

    Release date: 1994-06-01
  • 40. Declining female labour force participation Archived
    Articles and reports: 75-001-X199400235
    Geography: Canada
    Description:

    A look at the recent decline in the labour force participation rates of women by age.

    Release date: 1994-06-01
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