Home > Research > Publications & Outputs > On the estimation of zero-inefficiency stochast...

Research

Associated organisational units

Electronic data

  • ZISF-Endog-Aug-2016-Final

    Rights statement: This is the author’s version of a work that was accepted for publication in Economics Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Economics Letters, 147, 2016 DOI: 10.1016/j.econlet.2016.08.014

    Accepted author manuscript, 243 KB, PDF document

    Available under license: CC BY-NC-ND

Links

Text available via DOI:

Keywords

View graph of relations

On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Published

Standard

On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors. / Tran, Kien C.; Tsionas, Efthymios.
In: Economics Letters, Vol. 147, 10.2016, p. 19-22.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Tran, KC & Tsionas, E 2016, 'On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors', Economics Letters, vol. 147, pp. 19-22. https://doi.org/10.1016/j.econlet.2016.08.014

APA

Tran, K. C., & Tsionas, E. (2016). On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors. Economics Letters, 147, 19-22. https://doi.org/10.1016/j.econlet.2016.08.014

Vancouver

Tran KC, Tsionas E. On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors. Economics Letters. 2016 Oct;147:19-22. Epub 2016 Aug 17. doi: 10.1016/j.econlet.2016.08.014

Author

Tran, Kien C. ; Tsionas, Efthymios. / On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors. In: Economics Letters. 2016 ; Vol. 147. pp. 19-22.

Bibtex

@article{e9be8043ac4a4433be5e58f5d76dcb1a,
title = "On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors",
abstract = "In this paper, we investigate endogeneity issues in the zero-inefficiency stochastic frontier (ZISF) models by mean of simultaneous equation setting. Specifically, we allow for one or more regressors to be correlated with the statistical noise. A modified limited information maximum likelihood (LIML) approach is used to estimate the parameters of the model. Moreover, the firm specific inefficiency score is also provided. Limited Monte Carlo simulations show that the proposed estimators perform well in finite sample.",
keywords = "Endogeneity, Fully efficient firm, Limited information maximum likelihood, Firm specific inefficiency score, Zero-inefficiency stochastic frontier",
author = "Tran, {Kien C.} and Efthymios Tsionas",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Economics Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Economics Letters, 147, 2016 DOI: 10.1016/j.econlet.2016.08.014",
year = "2016",
month = oct,
doi = "10.1016/j.econlet.2016.08.014",
language = "English",
volume = "147",
pages = "19--22",
journal = "Economics Letters",
issn = "0165-1765",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - On the estimation of zero-inefficiency stochastic frontier models with endogenous regressors

AU - Tran, Kien C.

AU - Tsionas, Efthymios

N1 - This is the author’s version of a work that was accepted for publication in Economics Letters. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Economics Letters, 147, 2016 DOI: 10.1016/j.econlet.2016.08.014

PY - 2016/10

Y1 - 2016/10

N2 - In this paper, we investigate endogeneity issues in the zero-inefficiency stochastic frontier (ZISF) models by mean of simultaneous equation setting. Specifically, we allow for one or more regressors to be correlated with the statistical noise. A modified limited information maximum likelihood (LIML) approach is used to estimate the parameters of the model. Moreover, the firm specific inefficiency score is also provided. Limited Monte Carlo simulations show that the proposed estimators perform well in finite sample.

AB - In this paper, we investigate endogeneity issues in the zero-inefficiency stochastic frontier (ZISF) models by mean of simultaneous equation setting. Specifically, we allow for one or more regressors to be correlated with the statistical noise. A modified limited information maximum likelihood (LIML) approach is used to estimate the parameters of the model. Moreover, the firm specific inefficiency score is also provided. Limited Monte Carlo simulations show that the proposed estimators perform well in finite sample.

KW - Endogeneity

KW - Fully efficient firm

KW - Limited information maximum likelihood

KW - Firm specific inefficiency score

KW - Zero-inefficiency stochastic frontier

U2 - 10.1016/j.econlet.2016.08.014

DO - 10.1016/j.econlet.2016.08.014

M3 - Journal article

VL - 147

SP - 19

EP - 22

JO - Economics Letters

JF - Economics Letters

SN - 0165-1765

ER -