Endogeneity in stochastic frontier models
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Endogeneity issues are inherent in SFA with distance functions.
“Endogeneity issues are inherent in SFA with distance functions (Amsler et al., 2016).”
From Airports’ public infrastructure and sources of inefficiency (2023) · cites this paper as Amsler et al., 2016
Zaragoza and Vitoria are cargo-oriented airports, but Vitoria is significantly less efficient and smaller than Zaragoza.
“For example, Zaragoza (89.32%) and Vitoria (78.48%) are cargo-oriented airports, but Vitoria is significantly less efficient and smaller than Zaragoza [1].”
From Airports’ public infrastructure and sources of inefficiency (2023) · cites this paper as [1]
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Regulation and Corruption: Evidence from the United States*
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Evaluating the CDF of the distribution of the stochastic frontier composed error
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A solution to log of dependent variables with negative observations
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- Authors
- Amsler, C., Prokhorov, A., & Schmidt, P.
- Affiliations
- Michigan State University (US)
- The University of Sydney (AU)
- Corresponding author
- Schmidt, Peter
- Venue
- Journal of Econometrics
- Publisher
- Elsevier BV
- Published
- 2016-02
- Volume
- 190
- Issue
- 2
- Pages
- 280-288
- ISSN
- 0304-4076 (ISSN-L)
- OpenAlex
- W1492311908
- Cited by
- 251
- References
- 34
- Citations by year
- 2026: 18 · 2025: 22 · 2024: 32 · 2023: 25 · 2022: 29 · 2021: 23 · 2020: 39 · 2019: 20 · 2018: 20 · 2017: 17 · 2016: 5 · 2015: 1
- FWCI
- 17.90
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Econometrics (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- The Sydney eScholarship Repository (The University of Sydney) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Efficiency Analysis Using DEA
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Spatial and Panel Data Analysis
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Economic Growth and Productivity
- Keywords
- stochastic frontier model, endogeneity, systems of equations, production frontier, two-stage least squares, control functions, limited information maximum likelihood, estimator consistency
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