Survey error modelling in the presence of benchmarks / by Zhao-Guo Chen and Ka Ho Wu.: CS11-617/2001-13E-PDF
Data for a socio-economic variable obtained from a repeated survey contain sampling error. Usually estimates of the variance of the error are obtained in the survey process and published; but estimates of the autocorrelation of the error series (equivalently, a fitted time series model) are rarely given. Knowing autocorrelation of the survey error series, some advanced approaches for predicting the variable can work. This paper proposes a method of modelling monthly survey error using annual benchmarks as additional information under a very general model assumption for the variable. The fitted model is thus more data-based than those obtained from secondary analysis (e.g., Scott, Smith and Jones, 1977) where only monthly data are used.
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| Title | Survey error modelling in the presence of benchmarks / by Zhao-Guo Chen and Ka Ho Wu. |
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| Publication type | Monograph - View Master Record |
| Language | [English] |
| Format | Digital text |
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| Description | 1 online resource (41 pages) : illustrations. |
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