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All (6)

All (6) ((6 results))

  • 1. On bias-robust mean squared error estimation for pseudo-linear small area estimators Archived
    Articles and reports: 12-001-X201100211604
    Description:

    We propose a method of mean squared error (MSE) estimation for estimators of finite population domain means that can be expressed in pseudo-linear form, i.e., as weighted sums of sample values. In particular, it can be used for estimating the MSE of the empirical best linear unbiased predictor, the model-based direct estimator and the M-quantile predictor. The proposed method represents an extension of the ideas in Royall and Cumberland (1978) and leads to MSE estimators that are simpler to implement, and potentially more bias-robust, than those suggested in the small area literature. However, it should be noted that the MSE estimators defined using this method can also exhibit large variability when the area-specific sample sizes are very small. We illustrate the performance of the method through extensive model-based and design-based simulation, with the latter based on two realistic survey data sets containing small area information.

    Release date: 2011-12-21
  • 2. Adaptive network and spatial sampling Archived
    Articles and reports: 12-001-X201100211607
    Description:

    This paper describes recent developments in adaptive sampling strategies and introduces new variations on those strategies. Recent developments described included targeted random walk designs and adaptive web sampling. These designs are particularly suited for sampling in networks; for example, for finding a sample of people from a hidden human population by following social links from sample individuals to find additional members of the hidden population to add to the sample. Each of these designs can also be translated into spatial settings to produce flexible new spatial adaptive strategies for sampling unevenly distributed populations. Variations on these sampling strategies include versions in which the network or spatial links have unequal weights and are followed with unequal probabilities.

    Release date: 2011-12-21
  • 3. Ten years of balanced sampling with the cube method: An appraisal Archived
    Articles and reports: 12-001-X201100211609
    Description:

    This paper presents a review and assessment of the use of balanced sampling by means of the cube method. After defining the notion of balanced sample and balanced sampling, a short history of the concept of balancing is presented. The theory of the cube method is briefly presented. Emphasis is placed on the practical problems posed by balanced sampling: the interest of the method with respect to other sampling methods and calibration, the field of application, the accuracy of balancing, the choice of auxiliary variables and ways to implement the method.

    Release date: 2011-12-21
  • 4. Bias in self-reported estimates of obesity in Canadian health surveys: An update on correction equations for adults Archived
    Articles and reports: 82-003-X201100311533
    Geography: Canada
    Description:

    This study compares the bias in self-reported height, weight and body mass index in the 2008 and 2005 Canadian Community Health Surveys and the 2007 to 2009 Canadian Health Measures Survey. The feasibility of using correction equations to adjust self-reported 2008 Canadian Community Health Survey values to more closely approximate measured values is assessed.

    Release date: 2011-08-17
  • 5. Obesity estimates for children based on parent-reported versus direct measures Archived
    Articles and reports: 82-003-X201100311534
    Geography: Canada
    Description:

    Using data from the 2007 to 2009 Canadian Health Measures Survey, this study investigates the bias that exists when height, weight and body mass index are based on parent-reported values. Factors associated with reporting error are used to establish the feasibility of developing correction equations to adjust parent-reported estimates.

    Release date: 2011-08-17
  • 6. Purchasing Power Parities and Real Expenditures, United States and Canada, 2002 to 2009 Archived
    Stats in brief: 13-604-M2010064
    Description:

    This paper provides the latest annual results for the U.S./Canada purchasing power parities (PPPs) and real expenditure indexes in the U.S. compared with Canada for the period 2002 to 2009. Revisions to previously published data and an update using the most recent US and Canada expenditure data from the National Accounts and in-depth price comparisons for 2005 are incorporated. The paper provides a primer on purchasing power parities and related measures and why they are important in international comparisons of economic performance. It also describes a new projection methodology for total economy measures that are now based on Gross Domestic Income and shows the impact of this change on the data.

    Release date: 2011-01-28
Stats in brief (1)

Stats in brief (1) ((1 result))

  • 1. Purchasing Power Parities and Real Expenditures, United States and Canada, 2002 to 2009 Archived
    Stats in brief: 13-604-M2010064
    Description:

    This paper provides the latest annual results for the U.S./Canada purchasing power parities (PPPs) and real expenditure indexes in the U.S. compared with Canada for the period 2002 to 2009. Revisions to previously published data and an update using the most recent US and Canada expenditure data from the National Accounts and in-depth price comparisons for 2005 are incorporated. The paper provides a primer on purchasing power parities and related measures and why they are important in international comparisons of economic performance. It also describes a new projection methodology for total economy measures that are now based on Gross Domestic Income and shows the impact of this change on the data.

    Release date: 2011-01-28
Articles and reports (5)

Articles and reports (5) ((5 results))

  • 1. On bias-robust mean squared error estimation for pseudo-linear small area estimators Archived
    Articles and reports: 12-001-X201100211604
    Description:

    We propose a method of mean squared error (MSE) estimation for estimators of finite population domain means that can be expressed in pseudo-linear form, i.e., as weighted sums of sample values. In particular, it can be used for estimating the MSE of the empirical best linear unbiased predictor, the model-based direct estimator and the M-quantile predictor. The proposed method represents an extension of the ideas in Royall and Cumberland (1978) and leads to MSE estimators that are simpler to implement, and potentially more bias-robust, than those suggested in the small area literature. However, it should be noted that the MSE estimators defined using this method can also exhibit large variability when the area-specific sample sizes are very small. We illustrate the performance of the method through extensive model-based and design-based simulation, with the latter based on two realistic survey data sets containing small area information.

    Release date: 2011-12-21
  • 2. Adaptive network and spatial sampling Archived
    Articles and reports: 12-001-X201100211607
    Description:

    This paper describes recent developments in adaptive sampling strategies and introduces new variations on those strategies. Recent developments described included targeted random walk designs and adaptive web sampling. These designs are particularly suited for sampling in networks; for example, for finding a sample of people from a hidden human population by following social links from sample individuals to find additional members of the hidden population to add to the sample. Each of these designs can also be translated into spatial settings to produce flexible new spatial adaptive strategies for sampling unevenly distributed populations. Variations on these sampling strategies include versions in which the network or spatial links have unequal weights and are followed with unequal probabilities.

    Release date: 2011-12-21
  • 3. Ten years of balanced sampling with the cube method: An appraisal Archived
    Articles and reports: 12-001-X201100211609
    Description:

    This paper presents a review and assessment of the use of balanced sampling by means of the cube method. After defining the notion of balanced sample and balanced sampling, a short history of the concept of balancing is presented. The theory of the cube method is briefly presented. Emphasis is placed on the practical problems posed by balanced sampling: the interest of the method with respect to other sampling methods and calibration, the field of application, the accuracy of balancing, the choice of auxiliary variables and ways to implement the method.

    Release date: 2011-12-21
  • 4. Bias in self-reported estimates of obesity in Canadian health surveys: An update on correction equations for adults Archived
    Articles and reports: 82-003-X201100311533
    Geography: Canada
    Description:

    This study compares the bias in self-reported height, weight and body mass index in the 2008 and 2005 Canadian Community Health Surveys and the 2007 to 2009 Canadian Health Measures Survey. The feasibility of using correction equations to adjust self-reported 2008 Canadian Community Health Survey values to more closely approximate measured values is assessed.

    Release date: 2011-08-17
  • 5. Obesity estimates for children based on parent-reported versus direct measures Archived
    Articles and reports: 82-003-X201100311534
    Geography: Canada
    Description:

    Using data from the 2007 to 2009 Canadian Health Measures Survey, this study investigates the bias that exists when height, weight and body mass index are based on parent-reported values. Factors associated with reporting error are used to establish the feasibility of developing correction equations to adjust parent-reported estimates.

    Release date: 2011-08-17
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