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  • 1. Correcting for non-response in indirect sampling Archived
    Articles and reports: 11-522-X20010016267
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    In practice, a list of the desired collection units is not always available. Instead, a list of different units that are somehow related to the collection units may be provided, thus producing two related populations, UA and UB. An estimate for UB needs to be created, however, the sampling frame provided is only for the UA population.

    One solution for this problem is to select a sample from UA (sA) and produce an estimate for UB using the existing relationship between the two populations. This process may be referred to as indirect sampling. To assign a selection probability, or an estimation weight, for the survey units, Lavallée (1995) developed the generalized weight share method (GWSM). The GWSM produces an estimation weight that basically constitutes an average of the sampling weights of the units in sA.

    This paper discusses the types of non-response associated with indirect sampling and the possible estimation problems that can occur in the application of the GWSM.

    Release date: 2002-09-12
  • 2. Estimation using the generalised weight share method: The case of record linkage Archived
    Articles and reports: 12-001-X20010026092
    Description:

    To augment the amount of available information, data from different sources are increasingly being combined. These databases are often combined using record linkage methods. When there is no unique identifier, a probabilistic linkage is used. In that case, a record on a first file is associated with a probability that is linked to a record on a second file, and then a decision is taken on whether a possible link is a true link or not. This usually requires a non-negligible amount of manual resolution. It might then be legitimate to evaluate if manual resolution can be reduced or even eliminated. This issue is addressed in this paper where one tries to produce an estimate of a total (or a mean) of one population, when using a sample selected from another population linked somehow to the first population. In other words, having two populations linked through probabilistic record linkage, we try to avoid any decision concerning the validity of links and still be able to produce an unbiased estimate for a total of the one of two populations. To achieve this goal, we suggest the use of the Generalised Weight Share Method (GWSM) described by Lavallée (1995).

    Release date: 2002-02-28
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Articles and reports (2)

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  • 1. Correcting for non-response in indirect sampling Archived
    Articles and reports: 11-522-X20010016267
    Description:

    This paper discusses in detail issues dealing with the technical aspects of designing and conducting surveys. It is intended for an audience of survey methodologists.

    In practice, a list of the desired collection units is not always available. Instead, a list of different units that are somehow related to the collection units may be provided, thus producing two related populations, UA and UB. An estimate for UB needs to be created, however, the sampling frame provided is only for the UA population.

    One solution for this problem is to select a sample from UA (sA) and produce an estimate for UB using the existing relationship between the two populations. This process may be referred to as indirect sampling. To assign a selection probability, or an estimation weight, for the survey units, Lavallée (1995) developed the generalized weight share method (GWSM). The GWSM produces an estimation weight that basically constitutes an average of the sampling weights of the units in sA.

    This paper discusses the types of non-response associated with indirect sampling and the possible estimation problems that can occur in the application of the GWSM.

    Release date: 2002-09-12
  • 2. Estimation using the generalised weight share method: The case of record linkage Archived
    Articles and reports: 12-001-X20010026092
    Description:

    To augment the amount of available information, data from different sources are increasingly being combined. These databases are often combined using record linkage methods. When there is no unique identifier, a probabilistic linkage is used. In that case, a record on a first file is associated with a probability that is linked to a record on a second file, and then a decision is taken on whether a possible link is a true link or not. This usually requires a non-negligible amount of manual resolution. It might then be legitimate to evaluate if manual resolution can be reduced or even eliminated. This issue is addressed in this paper where one tries to produce an estimate of a total (or a mean) of one population, when using a sample selected from another population linked somehow to the first population. In other words, having two populations linked through probabilistic record linkage, we try to avoid any decision concerning the validity of links and still be able to produce an unbiased estimate for a total of the one of two populations. To achieve this goal, we suggest the use of the Generalised Weight Share Method (GWSM) described by Lavallée (1995).

    Release date: 2002-02-28
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