Overview of Datasets

BUNMD: Breen, C.F. & Goldstein, J.R. Berkeley Unified Numident Mortality Database: Public administrative records for individual-level mortality research. Demographic Research 47, 5 (2022). https://doi.org/10.4054/DemRes.2022.47.5.

CenSoc-DMF and CenSoc-Numident: Breen, C.F., Osborne, M. & Goldstein, J.R. CenSoc: Public Linked Administrative Mortality Records for Individual-level Research. Sci Data 10, 802 (2023). https://doi.org/10.1038/s41597-023-02713-y

Vignettes

The CenSoc project provides a few vignettes (long-form tutorials) for working with CenSoc data.

• Exploring mortality differentials in the CenSoc-DMF Demo Dataset
  _{(Beginner/Intermediate | CenSoc-DMF Demo Dataset | 15 minutes read)}
• Getting started with CenSoc
  _{(Intermediate | 10 minutes read)}
• Investigating Socioeconomic Disparities in Longevity for the 1910 Cohort
  _{(Intermediate-Advanced | Censoc-Numident Dataset | 20 minutes read)}
• Visualizing Mortality Differentials by ZIP Code
  _{(Intermediate | BUNMD Dataset | 10 minutes read)}
• An ipumsr Workflow for Big CenSoc Data
  _{(Intermediate | 15 minutes read)}
• Analyzing doubly-truncated mortality data using the gompertztrunc package
  _{(Advanced | 25 minutes read)}

Record Linkage

• An Assessment of CenSoc Match Quality
• ABE Fully-Automated Approach: see CenSoc Methods Protocol
• Probabilistic Matching (forthcoming)

Technical Documentation

• CenSoc Methods Protocol
• CenSoc-Numident and CenSoc-DMF Weights Documentation
• World War II Army Enlistment Data
• Notes on modeling with late cohorts

Mortality Estimation

• Ordinary Least Squares regression with year fixed-effects (see BUNMD paper)
• Double-truncated Gompertz Maximum Likelihood: Mortality Modeling of Partially Observed Cohorts Using Administrative Death Records
  • Accompanying R Package: gompertztrunc (CRAN) (vignette)
• Bayesian Hierarchical Modeling (forthcoming)

Citation

Please cite the CenSoc data sets as follows:

Joshua R. Goldstein, Monica Alexander, Casey Breen, Andrea Miranda González, Felipe Menares, Maria Osborne, Mallika Snyder, and Ugur Yildirim. CenSoc Mortality File: Version 3.0. Berkeley: University of California, 2023.

When using IPUMS data, please follow IPUMS citation guide and adhere to terms of use.