The DOI matches its Crossref record.
Residual Diagnostics for Cross-section Time Series Regression Models
Open accessAbstract
These routines support the diagnosis of groupwise heteroskedasticity and cross-sectional correlation in the context of a regression model fit to pooled cross-section time series (xt) data.
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Citations
Cited by
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Operational leanness and retail firm performance since 1980
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“Additionally, the F-tests were significant for each model, which indicates the appropriateness a fixed effects model over a pooled ordinary least squares analysis (Baum, 2001).”
Method
Metadata
- Authors
- Baum, C. F.
- Venue
- The Stata Journal: Promoting communications on statistics and Stata
- Publisher
- SAGE Publications
- Published
- 2001-11
- Volume
- 1
- Issue
- 1
- Pages
- 101-104
- ISSN
- 1536-867X (ISSN-L)
- 1536-8734
- OpenAlex
- W1581526203
- Cited by
- 382
- References
- 0
- FWCI
- 0.89
- Type
- journal article
- Language
- en
- Open access
- bronze
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
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- CoChat. (2026). Citation check: Residual Diagnostics for Cross-section Time Series Regression Models. https://app.cochat.ai/papers/10.1177/1536867x0100100108
- The paper
- Baum, C. F. (2001). Residual Diagnostics for Cross-section Time Series Regression Models. The Stata Journal: Promoting communications on statistics and Stata. https://doi.org/10.1177/1536867x0100100108
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.
