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Variance Estimation Using Package vardpoor in R

Author

Listed:
  • Juris Breidaks

    (Central Statistical Bureau of Latvia)

Abstract

The paper is devoted to the R package vardpoor. The Central Statistical Bureau of Latvia in 2012 developed R package vardpoor. The package vardpoor was developed with the objective to modernise the sample error estimation in sample surveys. Sampling errors can be estimated for household, agricultural and business surveys using the package. The main advantage of the proposed package is its simplicity and flexibility. R package vardpoor is implemented in practice. Sampling error estimation mechanism, calculation of the domain-specific study variables, variable linearization, calculation of regression residual, and variance estimation with the ultimate cluster method, variance estimation of the simple random sampling is briefly explained in the paper.

Suggested Citation

  • Juris Breidaks, 2015. "Variance Estimation Using Package vardpoor in R," Romanian Statistical Review, Romanian Statistical Review, vol. 63(2), pages 24-38, June.
    • Handle: RePEc:rsr:journl:v:63:y:2015:i:2:p:24-38
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    References listed on IDEAS

    as
    1. Alfons, Andreas & Templ, Matthias, 2013. "Estimation of Social Exclusion Indicators from Complex Surveys: The R Package laeken," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 54(i15).
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    More about this item

    Keywords

    domain estimation; linearization; R; Survey sampling; variance estimation;
    All these keywords.

    JEL classification:

    • C40 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - General
    • C42 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Survey Methods

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