Cited by 257Efficiency Analysis Using DEAAdvanced Statistical Methods and ModelsSpatial and Panel Data Analysis

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Biases in frontier estimation due to heteroscedasticity

Caudill, Steven B., Ford, Jon M.·1993·Economics Letters

Overview

Integrity signals

Registry

Crossref · 10.1016/0165-1765(93)90104-k

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

Flagged first, then by citations

Show all 7 references

Cited by

Sorted by citations

See all 257

Metadata

Authors
Caudill, S. B., & Ford, J. M.
Affiliations
Auburn University (US)
Corresponding author
Caudill, Steven B.
Venue
Economics Letters
Publisher
Elsevier BV
Published
1993-01
Volume
41
Issue
1
Pages
17-20
ISSN
0165-1765 (ISSN-L)
OpenAlex
W2005008687
Cited by
256
References
7
Citations by year
2026: 6 · 2025: 3 · 2024: 9 · 2023: 10 · 2022: 17 · 2021: 24 · 2020: 15 · 2019: 17 · 2018: 20 · 2017: 13 · 2016: 17 · 2015: 10 · 2014: 10 · 2013: 12 · 2012: 13
FWCI
1.16
Type
journal article
Language
en
Open access
closed
Locations
  • Economics Letters (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
  • Physical Sciences › Mathematics › Statistics and Probability › Advanced Statistical Methods and Models
  • Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
Keywords
heteroscedasticity, efficient frontier, parameter bias, Monte Carlo simulation

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