The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Using i.i.d. bootstrap inference for general non-i.i.d. models
Overview
Integrity signals
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Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“As is usually the case for estimators constructed using independent but not identically distributed random variables (see e.g. Liu and Singh, 1995), the asymptotic variance of DID M can only be conservatively estimated.”
From Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects (2020) · cites this paper as Liu and Singh, 1995
Citations
Cites
Bootstrap methods: another look at the jackknife
Efron, B. (1979) · The Annals of Statistics · doi:10.1214/aos/1176344552 · Cited by 17,602
Better Bootstrap Confidence Intervals
Efron, B. (1987) · Journal of the American Statistical Association · doi:10.1080/01621459.1987.10478410 · Cited by 3,364
Bootstrapping Regression Models
Freedman, D. A. (1981) · The Annals of Statistics · doi:10.1214/aos/1176345638 · Cited by 1,018
Theoretical Comparison of Bootstrap Confidence Intervals
Hall, P. (1988) · The Annals of Statistics · doi:10.1214/aos/1176350933 · Cited by 782
A Note on Quantiles in Large Samples
Bahadur, R. R. (1966) · The Annals of Mathematical Statistics · doi:10.1214/aoms/1177699450 · Cited by 730
Better Bootstrap Confidence Intervals
Efron, B. (1987) · Journal of the American Statistical Association · doi:10.2307/2289144 · Cited by 698
Bootstrap Procedures under some Non-I.I.D. Models
Liu, R. Y. (1988) · The Annals of Statistics · doi:10.1214/aos/1176351062 · Cited by 640
Self-citationPrepivoting to reduce level error of confidence sets
BERAN, R. (1987) · Biometrika · doi:10.1093/biomet/74.3.457 · Cited by 319
A General Theory for Jackknife Variance Estimation
Shao, J., & Wu, C. F. J. (1989) · The Annals of Statistics · doi:10.1214/aos/1176347263 · Cited by 306
Bootstrap confidence intervals for a class of parametric problems
EFRON, B. (1985) · Biometrika · doi:10.1093/biomet/72.1.45 · Cited by 289
Research works printed but not linked: 2
- Babu, 1984, Asymptotic representation related to jackknifing and bootstrapping L-statistics, Sankhya Ser. A, 46, 195
- Liu, 1989, On a representation related to the bootstrap, Sankhya Ser. A, 51, 168
Cited by
Two-Way Fixed Effects Estimators with Heterogeneous Treatment Effects
de Chaisemartin, C., & D’Haultfœuille, X. (2020) · American Economic Review · doi:10.1257/aer.20181169 · Cited by 5,031
Two-way Fixed Effects Estimators with Heterogeneous Treatment Effects
de Chaisemartin, C., & D'Haultfoeuille, X. (2019) · doi:10.3386/w25904 · Cited by 350
Barocas, J. A., White, L. F., Wang, J., Walley, A. Y., LaRochelle, M. R., Bernson, D., Land, T., Morgan, J. R., Samet, J. H., & Linas, B. P. (2018) · American Journal of Public Health · doi:10.2105/ajph.2018.304673 · Cited by 164
Metadata
- Authors
- Liu, R. Y., & Singh, K.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Corresponding author
- Singh, Kesar
- Venue
- Journal of Statistical Planning and Inference
- Publisher
- Elsevier BV
- Published
- 1995-01
- Volume
- 43
- Issue
- 1-2
- Pages
- 67-75
- ISSN
- 0378-3758 (ISSN-L)
- OpenAlex
- W2171825578
- Cited by
- 27
- References
- 11
- Citations by year
- 2025: 1 · 2024: 2 · 2023: 2 · 2022: 1 · 2021: 3 · 2020: 2 · 2019: 4 · 2018: 5 · 2016: 2 · 2015: 2 · 2014: 1 · 2012: 1
- FWCI
- 0.00
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Locations
- Journal of Statistical Planning and Inference (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Inference
- Physical Sciences › Mathematics › Statistics and Probability › Probability and Statistical Research
- Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
- Keywords
- bootstrap confidence intervals, conservative inference, exact inference, robust inference
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.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Using i.i.d. bootstrap inference for general non-i.i.d. models. https://app.cochat.ai/papers/10.1016/0378-3758(94)00008-j
- The paper
- Liu, R. Y., & Singh, K. (1995). Using i.i.d. bootstrap inference for general non-i.i.d. models. Journal of Statistical Planning and Inference. https://doi.org/10.1016/0378-3758(94)00008-j
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.
