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  • 1. A sampling and estimation methodology for sub-annual business surveys Archived
    Articles and reports: 12-001-X199100214502
    Description:

    A sample design for the initial selection, sample rotation and updating for sub-annual business surveys is proposed. The sample design is a stratified clustered design, with the stratification being carried out on the basis of industry, geography and size. Sample rotation of the sample units is carried out under time-in and time-out constraints. Updating is with respect to the selection of births (new businesses), removal of deaths (defunct businesses) and implementation of changes in the classification variables used for stratification, i.e. industry, geography and size. A number of alternate estimators, including the simple expansion estimator and Mickey’s (1959) unbiased ratio-type estimator have been evaluated for this design in an empirical study under various survey conditions. The problem of variance estimation has also been considered using the Taylor linearization method and the jackknife technique.

    Release date: 1991-12-16
  • 2. On the stratification of skewed populations Archived
    Articles and reports: 12-001-X198800114602
    Description:

    For a given level of precision, Hidiroglou (1986) provided an algorithm for dividing the population into a take-all stratum and a take-some stratum so as to minimize the overall sample size assuming simple random sampling without replacement in the take-some stratum. Sethi (1963) provided an algorithm for optimum stratification of the population into a number of take-some strata. For the stratification of a highly skewed population, this article presents an iterative algorithm which has as objective the determination of stratification boundaries which split the population into a take-all stratum and a number of take-some strata. These boundaries are computed so as to minimize the resulting sample size given a level of relative precision, simple random sampling without replacement from the take-some strata and use of a power allocation among the take-some strata. The resulting algorithm is a combination of the procedures of Hidiroglou (1986) and Sethi (1963).

    Release date: 1988-06-15
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Articles and reports (2)

Articles and reports (2) ((2 results))

  • 1. A sampling and estimation methodology for sub-annual business surveys Archived
    Articles and reports: 12-001-X199100214502
    Description:

    A sample design for the initial selection, sample rotation and updating for sub-annual business surveys is proposed. The sample design is a stratified clustered design, with the stratification being carried out on the basis of industry, geography and size. Sample rotation of the sample units is carried out under time-in and time-out constraints. Updating is with respect to the selection of births (new businesses), removal of deaths (defunct businesses) and implementation of changes in the classification variables used for stratification, i.e. industry, geography and size. A number of alternate estimators, including the simple expansion estimator and Mickey’s (1959) unbiased ratio-type estimator have been evaluated for this design in an empirical study under various survey conditions. The problem of variance estimation has also been considered using the Taylor linearization method and the jackknife technique.

    Release date: 1991-12-16
  • 2. On the stratification of skewed populations Archived
    Articles and reports: 12-001-X198800114602
    Description:

    For a given level of precision, Hidiroglou (1986) provided an algorithm for dividing the population into a take-all stratum and a take-some stratum so as to minimize the overall sample size assuming simple random sampling without replacement in the take-some stratum. Sethi (1963) provided an algorithm for optimum stratification of the population into a number of take-some strata. For the stratification of a highly skewed population, this article presents an iterative algorithm which has as objective the determination of stratification boundaries which split the population into a take-all stratum and a number of take-some strata. These boundaries are computed so as to minimize the resulting sample size given a level of relative precision, simple random sampling without replacement from the take-some strata and use of a power allocation among the take-some strata. The resulting algorithm is a combination of the procedures of Hidiroglou (1986) and Sethi (1963).

    Release date: 1988-06-15
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