Frames and coverage

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All (5) ((5 results))

  • Surveys and statistical programs – Documentation: 12-001-X19980024353
    Description:

    This paper studies response errors in the Current Population Survey of the U.S. Bureau of the Census and assesses their impact on the unemployment rates published by the Bureau of Labour Statistics. The measurement of these error rates is obtained from reinterview data, using an extension of the Hui and Walter (1980) procedure for the evaluation of diagnostic tests. Unlike prior studies which assumed that the reconciled reinterview yields the true status, the method estimates the error rates in both interviews. Using these estimated error rates, we show that the misclassification in the original survey creates a cyclical effect on the reported estimated unemployment rates. In particular, the degress of underestimation increases when true unemployment is high. As there was insufficient data to distinguish between a model assuming that the misclassification rates are the same throughout the business cycle, and one that allows the error rates to differ in periods of low, moderate and high unemployment, our findings should be regarded as preliminary. Nonetheless, they indicated that the relationship between the models used to assess the accuracy of diagnostic tests, and those measuring misclassification rates of survey data, deserves further study.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980013906
    Description:

    In sample surveys, the units contained in the sampling frame ideally have a one-to-one correspondence with the elements in the target population under study. In many cases, however, the frame has a many-to-many structure. That is, a unit in the frame may be associated with multiple target population elements and a target population element may be associated with multiple frame units. Such was the case in a building characteristics survey in which the frame was a list of street addresses, but the target population was commercial buildings. The frame was messy because a street address corresponded either to a single building, multiple buildings, or part of a building. In this paper, we develop estimators and formulas for their variances in both simple and stratified random sampling designs when the frame has a many-to-many structure.

    Release date: 1998-07-31

  • Surveys and statistical programs – Documentation: 12-001-X19980013912
    Description:

    Efficient estimates of population size and totals based on information from multiple list frames and an independent area frame are considered. This work is an extension of the methodology proposed by Harley (1962) which considers two general frames. A main disadvantage of list frames is that they are typically incomplete. In this paper, we propose several methods to address frame deficiencies. A joint list-area sampling design incorporates multiple frames and achieves full coverage of the target population. For each combination of frames, we present the appropriate notation, likelihood function, and parameter estimators. Results from a simulation study that compares the various properties of the proposed estimators are also presented.

    Release date: 1998-07-31

  • Surveys and statistical programs – Documentation: 12-001-X19980013913
    Description:

    Temporary mobility is hypothesized to contribute toward within-household coverage error since it may affect an individual's determination of "usual residence" - a concept commonly applied when listing persons as part of a household-based survey or census. This paper explores a typology of temporary mobility patterns and how they relate to the identification of usual residence. Temporary mobility is defined by the pattern of movement away from, but usually back to a single residence over a two-three month reference period. The typology is constructed using two dimensions: the variety of places visited and the frequency of visits made. Using data from the U.S. Living Situation Survey (LSS) conducted in 1993, four types of temporary mobility patterns are identified. In particular, two groups exhibiting patterns of repeat visit behavior were found to contain more of the types of people who tend to be missed during censuses and surveys. Log-linear modeling indicates spent away and demographic characteristics.

    Release date: 1998-07-31

  • Surveys and statistical programs – Documentation: 12-001-X19970023620
    Description:

    Since France has no population registers, population censuses are the basis for its socio-demographic information system. However, between two censuses, some data must be updated, in particular at a high level of geographic detail, especially since censuses are tending, for various reasons, to be less frequent. In 1993, the Institut National de la Statistique et des Études Économiques (INSEE) set up a team whose objective was to propose a system to substantially improve the existing mechanism for making small area population estimates. Its task was twofold: to prepare an efficient and robust synthesis of the information available from different administrative sources, and to assemble a sufficient number of "good" sources. The "multi-source" system that it designed, which is reported on here, is flexible and reliable, without being overly complex.

    Release date: 1998-03-12
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Analysis (5)

Analysis (5) ((5 results))

  • Surveys and statistical programs – Documentation: 12-001-X19980024353
    Description:

    This paper studies response errors in the Current Population Survey of the U.S. Bureau of the Census and assesses their impact on the unemployment rates published by the Bureau of Labour Statistics. The measurement of these error rates is obtained from reinterview data, using an extension of the Hui and Walter (1980) procedure for the evaluation of diagnostic tests. Unlike prior studies which assumed that the reconciled reinterview yields the true status, the method estimates the error rates in both interviews. Using these estimated error rates, we show that the misclassification in the original survey creates a cyclical effect on the reported estimated unemployment rates. In particular, the degress of underestimation increases when true unemployment is high. As there was insufficient data to distinguish between a model assuming that the misclassification rates are the same throughout the business cycle, and one that allows the error rates to differ in periods of low, moderate and high unemployment, our findings should be regarded as preliminary. Nonetheless, they indicated that the relationship between the models used to assess the accuracy of diagnostic tests, and those measuring misclassification rates of survey data, deserves further study.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980013906
    Description:

    In sample surveys, the units contained in the sampling frame ideally have a one-to-one correspondence with the elements in the target population under study. In many cases, however, the frame has a many-to-many structure. That is, a unit in the frame may be associated with multiple target population elements and a target population element may be associated with multiple frame units. Such was the case in a building characteristics survey in which the frame was a list of street addresses, but the target population was commercial buildings. The frame was messy because a street address corresponded either to a single building, multiple buildings, or part of a building. In this paper, we develop estimators and formulas for their variances in both simple and stratified random sampling designs when the frame has a many-to-many structure.

    Release date: 1998-07-31

  • Surveys and statistical programs – Documentation: 12-001-X19980013912
    Description:

    Efficient estimates of population size and totals based on information from multiple list frames and an independent area frame are considered. This work is an extension of the methodology proposed by Harley (1962) which considers two general frames. A main disadvantage of list frames is that they are typically incomplete. In this paper, we propose several methods to address frame deficiencies. A joint list-area sampling design incorporates multiple frames and achieves full coverage of the target population. For each combination of frames, we present the appropriate notation, likelihood function, and parameter estimators. Results from a simulation study that compares the various properties of the proposed estimators are also presented.

    Release date: 1998-07-31

  • Surveys and statistical programs – Documentation: 12-001-X19980013913
    Description:

    Temporary mobility is hypothesized to contribute toward within-household coverage error since it may affect an individual's determination of "usual residence" - a concept commonly applied when listing persons as part of a household-based survey or census. This paper explores a typology of temporary mobility patterns and how they relate to the identification of usual residence. Temporary mobility is defined by the pattern of movement away from, but usually back to a single residence over a two-three month reference period. The typology is constructed using two dimensions: the variety of places visited and the frequency of visits made. Using data from the U.S. Living Situation Survey (LSS) conducted in 1993, four types of temporary mobility patterns are identified. In particular, two groups exhibiting patterns of repeat visit behavior were found to contain more of the types of people who tend to be missed during censuses and surveys. Log-linear modeling indicates spent away and demographic characteristics.

    Release date: 1998-07-31

  • Surveys and statistical programs – Documentation: 12-001-X19970023620
    Description:

    Since France has no population registers, population censuses are the basis for its socio-demographic information system. However, between two censuses, some data must be updated, in particular at a high level of geographic detail, especially since censuses are tending, for various reasons, to be less frequent. In 1993, the Institut National de la Statistique et des Études Économiques (INSEE) set up a team whose objective was to propose a system to substantially improve the existing mechanism for making small area population estimates. Its task was twofold: to prepare an efficient and robust synthesis of the information available from different administrative sources, and to assemble a sufficient number of "good" sources. The "multi-source" system that it designed, which is reported on here, is flexible and reliable, without being overly complex.

    Release date: 1998-03-12
Reference (5)

Reference (5) ((5 results))

  • Surveys and statistical programs – Documentation: 12-001-X19980024353
    Description:

    This paper studies response errors in the Current Population Survey of the U.S. Bureau of the Census and assesses their impact on the unemployment rates published by the Bureau of Labour Statistics. The measurement of these error rates is obtained from reinterview data, using an extension of the Hui and Walter (1980) procedure for the evaluation of diagnostic tests. Unlike prior studies which assumed that the reconciled reinterview yields the true status, the method estimates the error rates in both interviews. Using these estimated error rates, we show that the misclassification in the original survey creates a cyclical effect on the reported estimated unemployment rates. In particular, the degress of underestimation increases when true unemployment is high. As there was insufficient data to distinguish between a model assuming that the misclassification rates are the same throughout the business cycle, and one that allows the error rates to differ in periods of low, moderate and high unemployment, our findings should be regarded as preliminary. Nonetheless, they indicated that the relationship between the models used to assess the accuracy of diagnostic tests, and those measuring misclassification rates of survey data, deserves further study.

    Release date: 1999-01-14

  • Surveys and statistical programs – Documentation: 12-001-X19980013906
    Description:

    In sample surveys, the units contained in the sampling frame ideally have a one-to-one correspondence with the elements in the target population under study. In many cases, however, the frame has a many-to-many structure. That is, a unit in the frame may be associated with multiple target population elements and a target population element may be associated with multiple frame units. Such was the case in a building characteristics survey in which the frame was a list of street addresses, but the target population was commercial buildings. The frame was messy because a street address corresponded either to a single building, multiple buildings, or part of a building. In this paper, we develop estimators and formulas for their variances in both simple and stratified random sampling designs when the frame has a many-to-many structure.

    Release date: 1998-07-31

  • Surveys and statistical programs – Documentation: 12-001-X19980013912
    Description:

    Efficient estimates of population size and totals based on information from multiple list frames and an independent area frame are considered. This work is an extension of the methodology proposed by Harley (1962) which considers two general frames. A main disadvantage of list frames is that they are typically incomplete. In this paper, we propose several methods to address frame deficiencies. A joint list-area sampling design incorporates multiple frames and achieves full coverage of the target population. For each combination of frames, we present the appropriate notation, likelihood function, and parameter estimators. Results from a simulation study that compares the various properties of the proposed estimators are also presented.

    Release date: 1998-07-31

  • Surveys and statistical programs – Documentation: 12-001-X19980013913
    Description:

    Temporary mobility is hypothesized to contribute toward within-household coverage error since it may affect an individual's determination of "usual residence" - a concept commonly applied when listing persons as part of a household-based survey or census. This paper explores a typology of temporary mobility patterns and how they relate to the identification of usual residence. Temporary mobility is defined by the pattern of movement away from, but usually back to a single residence over a two-three month reference period. The typology is constructed using two dimensions: the variety of places visited and the frequency of visits made. Using data from the U.S. Living Situation Survey (LSS) conducted in 1993, four types of temporary mobility patterns are identified. In particular, two groups exhibiting patterns of repeat visit behavior were found to contain more of the types of people who tend to be missed during censuses and surveys. Log-linear modeling indicates spent away and demographic characteristics.

    Release date: 1998-07-31

  • Surveys and statistical programs – Documentation: 12-001-X19970023620
    Description:

    Since France has no population registers, population censuses are the basis for its socio-demographic information system. However, between two censuses, some data must be updated, in particular at a high level of geographic detail, especially since censuses are tending, for various reasons, to be less frequent. In 1993, the Institut National de la Statistique et des Études Économiques (INSEE) set up a team whose objective was to propose a system to substantially improve the existing mechanism for making small area population estimates. Its task was twofold: to prepare an efficient and robust synthesis of the information available from different administrative sources, and to assemble a sufficient number of "good" sources. The "multi-source" system that it designed, which is reported on here, is flexible and reliable, without being overly complex.

    Release date: 1998-03-12
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