The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Imputation of Missing Values When the Probability of Response Depends on the Variable Being Imputed
Abstract
A method is developed for imputing missing values when the probability of response depends upon the variable being imputed. The missing data problem is viewed as one of parameter estimation in a regression model with stochastic censoring of the dependent variable. The prediction approach to imputation is used to solve this estimation problem. Wages and salaries are imputed to non-respondents in the Current Population Survey and the results are compared to the nonrespondents' IRS wage and salary data. The stochastic censoring approach gives improved results relative to a prediction approach that ignores the response mechanism.
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.
Integrity signals
Registry
Cites
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.
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
RUBIN, D. B. (1976) · Biometrika · doi:10.1093/biomet/63.3.581 · Cited by 9,925
Shadow Prices, Market Wages, and Labor Supply
Heckman, J. (1974) · Econometrica · doi:10.2307/1913937 · Cited by 1,852
Cited by
Multiple imputation of discrete and continuous data by fully conditional specification
van Buuren, S. (2007) · Statistical Methods in Medical Research · doi:10.1177/0962280206074463 · Cited by 2,827
Modeling the Drop-Out Mechanism in Repeated-Measures Studies
Little, R. J. A. (1995) · Journal of the American Statistical Association · doi:10.1080/01621459.1995.10476615 · Cited by 1,522
The Analysis of Social Science Data with Missing Values
LITTLE, R. J. A., & RUBIN, D. B. (1989) · Sociological Methods & Research · doi:10.1177/0049124189018002004 · Cited by 1,016
Publication bias—a problem in interpreting medical data
Begg, C. B., & Berlin, J. A. (1988) · Journal of the Royal Statistical Society. Series A (Statistics in Society) · doi:10.2307/2982993 · Cited by 814
Matched Sampling for Causal Effects
Rubin, D. B. (2006) · Cambridge University Press eBooks · doi:10.1017/cbo9780511810725 · Cited by 676
Metadata
- Authors
- Greenlees, J. S., Reece, W. S., & Zieschang, K. D.
- Venue
- Journal of the American Statistical Association
- Publisher
- Informa UK Limited
- Published
- 1982-06
- Volume
- 77
- Issue
- 378
- Pages
- 251-261
- ISSN
- 0162-1459 (ISSN-L)
- 1537-274X
- OpenAlex
- W2032974340
- Cited by
- 246
- References
- 2
- FWCI
- 3.32
- Type
- journal article
- Language
- en
- Open access
- closed
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: Imputation of Missing Values When the Probability of Response Depends on the Variable Being Imputed. https://app.cochat.ai/papers/10.1080/01621459.1982.10477793
- The paper
- Greenlees, J. S., Reece, W. S., & Zieschang, K. D. (1982). Imputation of Missing Values When the Probability of Response Depends on the Variable Being Imputed. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.1982.10477793
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.
