Estimation of a non-neutral stochastic frontier production function
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The KGMHLBC model does not have the scaling property because the variance of the pre-truncation normal is assumed to be constant (not dependent on z).
“This model does not have the scaling property because the variance of the pre-truncation normal is assumed to be constant (not dependent on z).”
From One-Step and Two-Step Estimation of the Effects of Exogenous Variables on Technical Efficiency Levels (2002) · cites this paper as Huang and Liu (1994)
Cites
Maximum Likelihood from Incomplete Data Via the <i>EM</i> Algorithm
Dempster, A. P., Laird, N. M., & Rubin, D. B. (1977) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1977.tb01600.x · Cited by 50,444 · see citing works
Formulation and estimation of stochastic frontier production function models
Aigner, D., Lovell, C. A. K., & Schmidt, P. (1977) · Journal of Econometrics · doi:10.1016/0304-4076(77)90052-5 · Cited by 10,135 · see citing works
Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error
Meeusen, W., & van Den Broeck, J. (1977) · International Economic Review · doi:10.2307/2525757 · Cited by 6,247 · see citing works
On the estimation of technical inefficiency in the stochastic frontier production function model
Jondrow, J., Knox Lovell, C. A., Materov, I. S., & Schmidt, P. (1982) · Journal of Econometrics · doi:10.1016/0304-4076(82)90004-5 · Cited by 3,447 · see citing works
Chen, T.-J., & Tang, D.-P. (1987) · Journal of Development Economics · doi:10.1016/0304-3878(87)90030-7 · Cited by 162 · see citing works
Huang, C. J. (1984) · Southern Economic Journal · doi:10.2307/1057997 · Cited by 29 · see citing works
Self-citationOn maximum likelihood estimation of stochastic frontier production models
Lee, L. (1983) · Journal of Econometrics · doi:10.1016/0304-4076(93)90081-f · Cited by 25 · see citing works
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Battese, G. E., & Coelli, T. J. (1995) · Empirical Economics · doi:10.1007/bf01205442 · Cited by 5,978 · see citing works
Wang, H.-J., & Schmidt, P. (2002) · Journal of Productivity Analysis · doi:10.1023/a:1016565719882 · Cited by 1,045 · see citing works
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 · see citing works
- Authors
- Huang, C. J., & Liu, J.-T.
- Affiliations
- Vanderbilt University (US)
- National Taiwan University (TW)
- ORCID
- Liu, Jin-Tan
- Venue
- Journal of Productivity Analysis
- Published
- 1994-06
- Volume
- 5
- Issue
- 2
- Pages
- 171-180
- ISSN
- 0895-562X (ISSN-L)
- 1573-0441
- OpenAlex
- W1965874904
- Cited by
- 593
- References
- 7
- Citations by year
- 2026: 3 · 2025: 10 · 2024: 14 · 2023: 12 · 2022: 20 · 2021: 23 · 2020: 19 · 2019: 23 · 2018: 30 · 2017: 22 · 2016: 23 · 2015: 32 · 2014: 33 · 2013: 33 · 2012: 26
- FWCI
- 4.82
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Productivity Analysis (publishedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Social Sciences › Economics, Econometrics and Finance › General Economics, Econometrics and Finance › Global trade and economics
- Keywords
- stochastic frontier analysis, truncated regression, production efficiency, firm characteristics, firm age, export ratio, R&D investment, electronics industry, Taiwan
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.
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