12 datasets found
  1. Actuarial Note 159 - Table 5

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 5 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-5
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 5 of Actuarial Note 159 presents death rates experienced by the general population in the Social Security coverage area consistent with estimates in the 2017 Trustees Reports.

  2. Actuarial Note 159 - Table 2

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 2 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-2
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 2 of Actuarial Note 159 contains data about the number of Old Age, Survivors, and Disability Insurance (OASDI) and Supplemental Security Income (SSI) claimants whose cases are pending an Administrative Law Judge's (ALJ) determination at the end of each fiscal year. There is a subset of under age 18 and age 18+ data.

  3. Actuarial Note 159 Data Collection

    • catalog.data.gov
    • data.amerigeoss.org
    • +1more
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 Data Collection [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-data-collection
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    This data collection hold machine readable files for each of the tables in Actuarial Note 159 - Probability of Death While Pending an Administrative Law Judge Determination.

  4. Actuarial Note 159 - Table 7

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 7 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-7
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 7 of Actuarial Note 159 provides a comparison of death rates for claimants with cases pending an Administrative Law Judge's (ALJ) determination, to the death rates for Disability Insurance (DI) disabled worker beneficiaries who are in their first two years of entitlement.

  5. f

    Data from: Actuarial fairness in social security calculations: application...

    • scielo.figshare.com
    jpeg
    Updated Jun 10, 2023
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    André Luiz Lemos Andrade Gouveia; Filipe Costa de Souza; Leandro Chaves Rêgo (2023). Actuarial fairness in social security calculations: application of a multiple decrement model to compare the social security factor and minimum age rules [Dataset]. http://doi.org/10.6084/m9.figshare.20025518.v1
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    jpegAvailable download formats
    Dataset updated
    Jun 10, 2023
    Dataset provided by
    SciELO journals
    Authors
    André Luiz Lemos Andrade Gouveia; Filipe Costa de Souza; Leandro Chaves Rêgo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Abstract It has been shown that under the social security factor rule current contribution rates are insufficient to cover social security benefits, since the actuarially fair rates are 30.69% and 35.27% for men and women, respectively. However, if the social security reform were approved as submitted, the fair rates would be reduced to 22.25% and 21.60%, respectively. Besides the minimum age, part of this reduction is due to the proposed rules allowing pension values lower than the minimum wage. These results served the objective of this work, which was to compare the actuarially fair social security rates for the General Social Welfare Policy (GSWP), based on the social security factor rules and the minimum age proposal present in Proposed Constitutional Amendment n. 287/2016. The demographic changes that have taken place in Brazil in recent years raise questions about the sustainability of the national social security system and approving social security reform has been a government priority. Therefore, there is an undisputed need for an actuarial study that calculates actuarially fair rates and compares the current scenario with the reform proposals. Multiple decrement actuarial models were used to calculate the fair rates considering a standard family (25-year-old worker, spouse, and two children), in which the man is three years older than the woman. The IBGE 2015 Extrapolated (mortality) and Álvaro Vindas (disability) tables were adopted as biometric assumptions, and a real wage growth rate of 2% p.a. and real interest rate of 3% p.a. were used.

  6. Actuarial Note 159 - Table 3

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 3 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-3
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 3 of Actuarial Note 159 contains data about annualized exposure among claimants awaiting a decision on their Social Security disability claim by an Administrative Law Judge (ALJ). Following standard actuarial practice, this exposure is approximated as the average number of living claimants pending at the beginning and the end of each year, plus one-half of the deaths occurring during the year.

  7. Actuarial Note 159 - Table 4

    • catalog.data.gov
    Updated Jan 24, 2025
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    Social Security Administration (2025). Actuarial Note 159 - Table 4 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-4
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    Dataset updated
    Jan 24, 2025
    Dataset provided by
    Social Security Administrationhttp://www.ssa.gov/
    Description

    Table 4 of Actuarial Note 159 contains data about the death rate among claimants while an Administrative Law Judge (ALJ) determination is pending.

  8. f

    Examples of time and age coordinates of the event as a function of the...

    • plos.figshare.com
    xls
    Updated Feb 21, 2025
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    Jose M. Pavía; Josep Lledó (2025). Examples of time and age coordinates of the event as a function of the length of the year utilised to calculate the exact age at event. [Dataset]. http://doi.org/10.1371/journal.pone.0315937.t001
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    xlsAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Jose M. Pavía; Josep Lledó
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Examples of time and age coordinates of the event as a function of the length of the year utilised to calculate the exact age at event.

  9. f

    Description of the functions in qlifetable for building quarterly life...

    • plos.figshare.com
    xls
    Updated Feb 21, 2025
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    Jose M. Pavía; Josep Lledó (2025). Description of the functions in qlifetable for building quarterly life tables. [Dataset]. http://doi.org/10.1371/journal.pone.0315937.t005
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    xlsAvailable download formats
    Dataset updated
    Feb 21, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Jose M. Pavía; Josep Lledó
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Description of the functions in qlifetable for building quarterly life tables.

  10. f

    Range of 10-year other cause mortality risk predictions.

    • figshare.com
    xls
    Updated Jun 12, 2023
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    Daniel M. Frendl; Gordon FitzGerald; Mara M. Epstein; Jeroan J. Allison; Mitchell H. Sokoloff; John E. Ware (2023). Range of 10-year other cause mortality risk predictions. [Dataset]. http://doi.org/10.1371/journal.pone.0240039.t003
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    xlsAvailable download formats
    Dataset updated
    Jun 12, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Daniel M. Frendl; Gordon FitzGerald; Mara M. Epstein; Jeroan J. Allison; Mitchell H. Sokoloff; John E. Ware
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Range of 10-year other cause mortality risk predictions.

  11. Final adjusted model for the 10-year competing risk of other cause...

    • figshare.com
    • plos.figshare.com
    xls
    Updated Jun 13, 2023
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    Daniel M. Frendl; Gordon FitzGerald; Mara M. Epstein; Jeroan J. Allison; Mitchell H. Sokoloff; John E. Ware (2023). Final adjusted model for the 10-year competing risk of other cause mortality. [Dataset]. http://doi.org/10.1371/journal.pone.0240039.t002
    Explore at:
    xlsAvailable download formats
    Dataset updated
    Jun 13, 2023
    Dataset provided by
    PLOShttp://plos.org/
    Authors
    Daniel M. Frendl; Gordon FitzGerald; Mara M. Epstein; Jeroan J. Allison; Mitchell H. Sokoloff; John E. Ware
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Final adjusted model for the 10-year competing risk of other cause mortality.

  12. f

    Table of the CDC PLACES county-level data including four underlying themes...

    • plos.figshare.com
    xls
    Updated Jan 26, 2024
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    Ramzi Ibrahim; Adam Habib; Kristina Terrani; Soumiya Ravi; Chelsea Takamatsu; Mohammed Salih; João Paulo Ferreira (2024). Table of the CDC PLACES county-level data including four underlying themes encompassing 29 distinct chronic disease/social determinants of health-related measures. [Dataset]. http://doi.org/10.1371/journal.pone.0292167.t001
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    xlsAvailable download formats
    Dataset updated
    Jan 26, 2024
    Dataset provided by
    PLOS ONE
    Authors
    Ramzi Ibrahim; Adam Habib; Kristina Terrani; Soumiya Ravi; Chelsea Takamatsu; Mohammed Salih; João Paulo Ferreira
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Table of the CDC PLACES county-level data including four underlying themes encompassing 29 distinct chronic disease/social determinants of health-related measures.

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Social Security Administration (2025). Actuarial Note 159 - Table 5 [Dataset]. https://catalog.data.gov/dataset/actuarial-note-159-table-5
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Actuarial Note 159 - Table 5

Explore at:
Dataset updated
Jan 24, 2025
Dataset provided by
Social Security Administrationhttp://www.ssa.gov/
Description

Table 5 of Actuarial Note 159 presents death rates experienced by the general population in the Social Security coverage area consistent with estimates in the 2017 Trustees Reports.

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