Maximizing the conditional overlap in business surveys

Şchiopu-Kratina, Ioana; Fillion, Jean-Marc; Mach, Lenka; Reiss, Philip T.

doi:10.1016/j.jspi.2014.02.002

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…The change in industry stratification using the new classifications meant that currently sampled businesses from several different strata in the old design formed the initial sample in a new stratum. If there was complete freedom to choose which businesses to include in the sample, then it would be possible to maximise the overlap appropriately using optimisation methods (see Mach et al 2006, Johnson et al 2012and Schiopu-Kratina et al 2014 for some examples of suitable methods); similarly, if particular surveys were restricted to parts of the PRN line (as in the Swedish system SAMU, see Lindblom 2003), the problem would be simplified. But in the ONS there are no restrictions to parts of the line for particular surveys, and the sample selection is managed by the PRN rotation system in the IDBR, so it was important to retain the existing system.…”

Section: Survey Redesignmentioning

confidence: 99%

Changing Industrial Classification to SIC (2007) at the UK Office for National Statistics

Smith

James

2017

Journal of Official Statistics

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As part of the changes to industrial classifications following the United Nations' revision to the International Standard Industrial Classification, ISIC Rev. 4, the UK moved to its version of a new classification between 2007 and 2011. We describe the processes involved in changing an industrial classification, including model-based adjustment methods and changes to survey designs and operations. We discuss the quality of the approaches used for different time periods in the same series, and the ways in which consistent time series are produced for users of economic statistics. We provide some general evaluation of the changeover, and guidance on the best approaches to follow when updating classifications.

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Section: Survey Redesignmentioning

confidence: 99%

Changing Industrial Classification to SIC (2007) at the UK Office for National Statistics

Smith

James

2017

Journal of Official Statistics

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“…In the category of non-PRN schemes, methods following to Keytz (1951), Kish and Scott (1971) or Matei and Tille ´(2005b) and methods based on mathematical programming (e.g., Raj 1968;Arthnari and Dodge 1981;Causey et al 1985;Ernst and Ikeda 1995;Ernst 1996Ernst , 1998Ernst and Paben 2002;Mach et al 2006;Matei and Skinner 2009;Schiopu-Kratina et al 2014) may be included.…”

Section: Introductionmentioning

confidence: 99%

Coordination of Conditional Poisson Samples

Grafström

Matei

2015

Journal of Official Statistics

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Sample coordination seeks to maximize or to minimize the overlap of two or more samples. The former is known as positive coordination, and the latter as negative coordination. Positive coordination is mainly used for estimation purposes and to reduce data collection costs. Negative coordination is mainly performed to diminish the response burden of the sampled units. Poisson sampling design with permanent random numbers provides an optimum coordination degree of two or more samples. The size of a Poisson sample is, however, random. Conditional Poisson (CP) sampling is a modification of the classical Poisson sampling that produces a fixed-size pps sample. We introduce two methods to coordinate Conditional Poisson samples over time or simultaneously. The first one uses permanent random numbers and the list-sequential implementation of CP sampling. The second method uses a CP sample in the first selection and provides an approximate one in the second selection because the prescribed inclusion probabilities are not respected exactly. The methods are evaluated using the size of the expected sample overlap, and are compared with their competitors using Monte Carlo simulation. The new methods provide a good coordination degree of two samples, close to the performance of Poisson sampling with permanent random numbers.

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Sample Coordination Methods and Systems for Establishment Surveys

Matei¹,

Smith²

2023

Advances in Business Statistics, Methods and Data Collection

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Maximizing the conditional overlap in business surveys

Cited by 3 publications

References 11 publications

Changing Industrial Classification to SIC (2007) at the UK Office for National Statistics

Changing Industrial Classification to SIC (2007) at the UK Office for National Statistics

Coordination of Conditional Poisson Samples

Sample Coordination Methods and Systems for Establishment Surveys

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