The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Confidence statements for efficiency estimates from stochastic frontier models
Open accessAbstract
This paper is an empirical study of the uncertainty associated with technical efficiency estimates from stochastic frontier models. We show how to construct confidence intervals for estimates of technical efficiency levels under different sets of assumptions ranging from the very strong to the relatively weak. We demonstrate empirically how the degree of uncertainty associated with these estimates relates to the strength of the assumptions made and to various features of the data.
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
Specification Tests in Econometrics
Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
Battese, G. E., & Coelli, T. J. (1992) · Journal of Productivity Analysis · doi:10.1007/bf00158774 · Cited by 2,832
Multiple Comparison Procedures
Hochberg, Y., & Tamhane, A. C. (1987) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316672 · Cited by 2,389
Production Frontiers and Productive Efficiency
Lovell, C. A. K. (1993) · The Measurement of Productive Efficiency · doi:10.1093/oso/9780195072181.003.0001 · Cited by 687
Cited by
The Econometric Approach to Efficiency Analysis
Greene, W. H. (2008) · The Measurement of Productive Efficiency and Productivity Change · doi:10.1093/acprof:oso/9780195183528.003.0002 · Cited by 1,073
Economic Efficiency and Frontier Techniques
Murillo‐Zamorano, L. R. (2004) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2004.00215.x · Cited by 465
DEA, DFA and SFA: A comparison
Hjalmarsson, L., Kumbhakar, S. C., & Heshmati, A. (1996) · Journal of Productivity Analysis · doi:10.1007/bf00157046 · Cited by 360
On the choice of functional form in stochastic frontier modeling
Giannakas, K., Tran, K. C., & Tzouvelekas, V. (2003) · Empirical Economics · doi:10.1007/s001810100120 · Cited by 104
Metadata
- Authors
- Horrace, W. C., & Schmidt, P.
- Venue
- Journal of Productivity Analysis
- Published
- 1996-07
- Volume
- 7
- Issue
- 2-3
- Pages
- 257-282
- ISSN
- 0895-562X (ISSN-L)
- 1573-0441
- OpenAlex
- W2170695560
- Cited by
- 216
- References
- 4
- FWCI
- 4.52
- Type
- journal article
- Language
- en
- Open access
- green
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
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.
