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Towards small area estimation at Statistics Netherlands

Author

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  • Harm Jan Boonstra
  • Jan A. Van Den Brakel
  • Bart Buelens
  • Sabine Krieg
  • Marc Smeets

Abstract

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Suggested Citation

  • Harm Jan Boonstra & Jan A. Van Den Brakel & Bart Buelens & Sabine Krieg & Marc Smeets, 2008. "Towards small area estimation at Statistics Netherlands," Metron - International Journal of Statistics, Dipartimento di Statistica, Probabilità e Statistiche Applicate - University of Rome, vol. 0(1), pages 21-49.
    • Handle: RePEc:mtn:ancoec:080102
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    File URL: https://www.dss.uniroma1.it/RePec/mtn/articoli/2008-1-2.pdf
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    References listed on IDEAS

    as
    1. Gauri Sankar Datta & J. N. K. Rao & David Daniel Smith, 2005. "On measuring the variability of small area estimators under a basic area level model," Biometrika, Biometrika Trust, vol. 92(1), pages 183-196, March.
    2. Siem Jan Koopman & Neil Shephard & Jurgen A. Doornik, 1999. "Statistical algorithms for models in state space using SsfPack 2.2," Econometrics Journal, Royal Economic Society, vol. 2(1), pages 107-160.
    3. Pfeffermann, Danny & Feder, Moshe & Signorelli, David, 1998. "Estimation of Autocorrelations of Survey Errors with Application to Trend Estimation in Small Areas," Journal of Business & Economic Statistics, American Statistical Association, vol. 16(3), pages 339-348, July.
    4. Pfeffermann, Danny, 1991. "Estimation and Seasonal Adjustment of Population Means Using Data from Repeated Surveys: Reply," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(2), pages 177-177, April.
    5. Monica Pratesi & Nicola Salvati, 2008. "Small area estimation: the EBLUP estimator based on spatially correlated random area effects," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 17(1), pages 113-141, February.
    6. Jiming Jiang & P. Lahiri, 2006. "Mixed model prediction and small area estimation," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 1-96, June.
    7. Pfeffermann, Danny & Tiller, Richard, 2006. "Small-Area Estimation With StateSpace Models Subject to Benchmark Constraints," Journal of the American Statistical Association, American Statistical Association, vol. 101, pages 1387-1397, December.
    8. Pfeffermann, Danny, 1991. "Estimation and Seasonal Adjustment of Population Means Using Data from Repeated Surveys," Journal of Business & Economic Statistics, American Statistical Association, vol. 9(2), pages 163-175, April.
    Full references (including those not matched with items on IDEAS)

    Citations

    Blog mentions

    As found by EconAcademics.org, the blog aggregator for Economics research:
    1. Scottish Jobs and Dubious Statistics
      by Brian Ashcroft in Scottish Economy Watch on 2012-05-17 01:36:36

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    Cited by:

    1. Jan A. van den Brakel & Bart Buelens, 2015. "Covariate Selection For Small Area Estimation In Repeated Sample Surveys," Statistics in Transition New Series, Polish Statistical Association, vol. 16(4), pages 523-540, December.
    2. Bijlsma Ineke & van den Brakel Jan & van der Velden Rolf & Allen Jim, 2020. "Estimating Literacy Levels at a Detailed Regional Level: an Application Using Dutch Data," Journal of Official Statistics, Sciendo, vol. 36(2), pages 251-274, June.
    3. van den Brakel Jan A. & Buelens Bart, 2015. "Covariate Selection for Small Area Estimation in Repeated Sample Surveys," Statistics in Transition New Series, Polish Statistical Association, vol. 16(4), pages 523-540, December.
    4. Bart Buelens & Jan A. van den Brakel, 2015. "Covariate selection for small area estimation in repeated sample surveys," Statistics in Transition new series, Główny Urząd Statystyczny (Polska), vol. 16(4), pages 523-540, December.
    5. Krieg, Sabine & van den Brakel, Jan A., 2012. "Estimation of the monthly unemployment rate for six domains through structural time series modelling with cointegrated trends," Computational Statistics & Data Analysis, Elsevier, vol. 56(10), pages 2918-2933.

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