Cited by 251Efficiency Analysis Using DEASpatial and Panel Data AnalysisEconomic Growth and Productivity

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Endogeneity in stochastic frontier models

Amsler, Christine, Prokhorov, Artem, Schmidt, Peter·2016·Journal of Econometrics

DOI 10.1016/j.jeconom.2015.06.013

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(2001) · RePEc: Research Papers in Economics · Cited by 27,577
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
Self-citation
An Introduction to Copulas
Nelsen, R. B. (1999) · Lecture notes in statistics · doi:10.1007/978-1-4757-3076-0 · Cited by 7,777
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
Self-citation
Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models
Lewbel, A. (2012) · Journal of Business & Economic Statistics · doi:10.1080/07350015.2012.643126 · Cited by 2,712
Two-stage residual inclusion estimation: Addressing endogeneity in health econometric modeling
Terza, J. V., Basu, A., & Rathouz, P. J. (2008) · Journal of Health Economics · doi:10.1016/j.jhealeco.2007.09.009 · Cited by 1,728
Estimation and Inference in Two-Step Econometric Models
Murphy, K. M., & Topel, R. (1985) · Journal of Business and Economic Statistics · doi:10.1198/073500102753410417 · Cited by 1,647
Handling Endogenous Regressors by Joint Estimation Using Copulas
Park, S., & Gupta, S. (2012) · Marketing Science · doi:10.1287/mksc.1120.0718 · Cited by 1,160
Fixed and Random Effects in Stochastic Frontier Models
Greene, W. H. (2005) · Journal of Productivity Analysis · doi:10.1007/s11123-004-8545-1 · Cited by 1,148
The Skew-normal Distribution and Related Multivariate Families*
Azzalini, A. (2005) · Scandinavian Journal of Statistics · doi:10.1111/j.1467-9469.2005.00426.x · Cited by 714

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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
ORCID: Prokhorov, Artem
Schmidt, Peter
Venue: Journal of Econometrics
Publisher: Elsevier BV
Published: 2016-02
Volume: 190
Issue: 2
Pages: 280-288
ISSN: 0304-4076 (ISSN-L)
DOI: 10.1016/j.jeconom.2015.06.013
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
FWCI: 17.90
Type: journal article
Language: en
Open access: closed
Licence: www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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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