Overview of Datasets
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
World War II Army Enlistment Data: Technical Report
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
- Notes on modeling with late cohorts
- Methods for Identifying Siblings in Administrative Mortality Data (coming soon)
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
- 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.