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Cited by 22Spatial and Panel Data AnalysisStatistical Methods and Bayesian InferenceAdvanced Causal Inference Techniques

The DOI matches its Crossref record; 16 of the 17 references it cites were found in a registry or an index.

A correlated random effects approach to the estimation of models with multiple fixed effects

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Yang, Yimin·2022·Economics Letters
DOI 10.1016/j.econlet.2022.110408
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Metadata

Authors
Yang, Y.
Affiliations
Renmin University of China (CN)
Corresponding author
Yang, Yimin
ORCID
Yang, Yimin
Venue
Economics Letters
Publisher
Elsevier BV
Published
2022-04
Volume
213
Pages
110408
ISSN
0165-1765 (ISSN-L)
DOI
10.1016/j.econlet.2022.110408
OpenAlex
W4214913605
Cited by
18
References
17
Citations by year
2026: 5 · 2025: 4 · 2024: 3 · 2023: 6
FWCI
2.61
Type
journal article
Language
en
Open access
Licence
Locations
  • Economics Letters (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion, cc-by-nc-nd)
Funders
National Natural Science Foundation of China (72103191)
Topics
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Bayesian Inference
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Causal Inference Techniques
Keywords
fixed effects estimator, Hausman specification test

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CoChat. (2026). Citation check: A correlated random effects approach to the estimation of models with multiple fixed effects. https://app.cochat.ai/papers/10.1016/j.econlet.2022.110408
The paper
Yang, Y. (2022). A correlated random effects approach to the estimation of models with multiple fixed effects. Economics Letters. https://doi.org/10.1016/j.econlet.2022.110408

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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.