Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 369

The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.

Overview of the Health and Retirement Study and Introduction to the Special Issue

Open access
Fisher, Gwenith G, Ryan, Lindsay H·2018·Work, Aging and Retirement

Abstract

Twenty-five years ago, the largest academic behavioral and social science project ever undertaken in the United States began: the Health and Retirement Study (HRS). The HRS is an invaluable publicly available dataset for investigating work, aging, and retirement and informing public policy on these issues. This biennial longitudinal study began in 1992 and has studied more than 43,000 individuals and produced almost 4,000 journal articles, dissertations, books, book chapters, and reports to date. The purpose of this special issue of Work, Aging and Retirement is to describe the HRS and highlight relevant research that utilizes this rich and complex dataset. First, we briefly describe the background that led to the development of the HRS. Then we summarize key aspects of the study, including its development, sampling, and methodology. Our review of the content of the survey focuses on the aspects of the study most relevant to research on worker aging and retirement. Next, we identify key strengths and important limitations of the study and provide advice to current and future HRS data users. Finally, we summarize the articles in this Special Issue (all of which use data from the HRS) and how they advance our knowledge and understanding of worker aging and retirement.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/workar/wax032

Cites

44 of 44 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 44 references

Cited by

See all 369

Metadata

Authors
Fisher, G. G., & Ryan, L. H.
Venue
Work, Aging and Retirement
Published
2017-12-19
Volume
4
Issue
1
Pages
1-9
ISSN
  • 2054-4642 (ISSN-L)
  • 2054-4650
OpenAlex
W2779292813
Cited by
369
References
44
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Overview of the Health and Retirement Study and Introduction to the Special Issue. https://app.cochat.ai/papers/10.1093/workar/wax032
The paper
Fisher, G. G., & Ryan, L. H. (2018). Overview of the Health and Retirement Study and Introduction to the Special Issue. Work, Aging and Retirement. https://doi.org/10.1093/workar/wax032

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.