Productivity and Performance: A GMM approach-Reference-Cited by-同舟云学术

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Productivity and Performance: A GMM approach

Published:2022-12 Issue:2 Volume:85 Page:331-344
ISSN:0305-9049
Container-title:Oxford Bulletin of Economics and Statistics
language:en
Short-container-title:Oxf Bull Econ Stat

Author:

Tsionas Mike G.¹²,Kumbhakar Subal C.³⁴^ORCID

Affiliation:

1. Montpellier Business School 2300 Avenue des Moulins Montpellier 34080 France

2. Lancaster University Management School Lancaster LA1 4YX UK

3. Department of Economics State University of New York at Binghamton Binghamton New York USA

4. Inland Norway University of Applied Sciences Lillehammer Norway

Publisher

Wiley

Subject

Statistics, Probability and Uncertainty,Economics and Econometrics,Social Sciences (miscellaneous),Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/obes.12530

Reference21 articles.

1. Identification Properties of Recent Production Function Estimators

2. Trade Liberalization, Intermediate Inputs, and Productivity: Evidence from Indonesia

3. Endogeneity in stochastic frontier models

4. Consistent Moment Selection Procedures for Generalized Method of Moments Estimation

5. Particle Markov chain Monte Carlo methods

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Machine Learning Approach to Stochastic Frontier Modeling;2024-05-30

2. Some reflections on technical and allocative inefficiency modeling;Tourism Economics;2024-05-06

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