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All (2) ((2 results))

  • 1. Municipal Financial and Socioeconomic Data Dashboard
    Data Visualization: 71-607-X2022004
    Description:

    This interactive dashboard presents key financial, economic and socio-economic data for individual municipalities and other local public administrations.

    Release date: 2022-07-26
  • 2. Small area estimation using Fay-Herriot area level model with sampling variance smoothing and modeling
    Articles and reports: 12-001-X202100200007
    Description:

    In this paper, we consider the Fay-Herriot model for small area estimation. In particular, we are interested in the impact of sampling variance smoothing and modeling on the model-based estimates. We present methods of smoothing and modeling for the sampling variances and apply the proposed models to a real data analysis. Our results indicate that sampling variance smoothing can improve the efficiency and accuracy of the model-based estimator. For sampling variance modeling, the HB models of You (2016) and Sugasawa, Tamae and Kubokawa (2017) perform equally well to improve the direct survey estimates.

    Release date: 2022-01-06
Data (1)

Data (1) ((1 result))

  • 1. Municipal Financial and Socioeconomic Data Dashboard
    Data Visualization: 71-607-X2022004
    Description:

    This interactive dashboard presents key financial, economic and socio-economic data for individual municipalities and other local public administrations.

    Release date: 2022-07-26
Analysis (1)

Analysis (1) ((1 result))

  • 1. Small area estimation using Fay-Herriot area level model with sampling variance smoothing and modeling
    Articles and reports: 12-001-X202100200007
    Description:

    In this paper, we consider the Fay-Herriot model for small area estimation. In particular, we are interested in the impact of sampling variance smoothing and modeling on the model-based estimates. We present methods of smoothing and modeling for the sampling variances and apply the proposed models to a real data analysis. Our results indicate that sampling variance smoothing can improve the efficiency and accuracy of the model-based estimator. For sampling variance modeling, the HB models of You (2016) and Sugasawa, Tamae and Kubokawa (2017) perform equally well to improve the direct survey estimates.

    Release date: 2022-01-06
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