Robust Estimation of Additive Boundaries With Quantile Regression and Shape Constraints-Reference-Cited by-同舟云学术

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Robust Estimation of Additive Boundaries With Quantile Regression and Shape Constraints

Published:2020-12-23 Issue: Volume: Page:1-14
ISSN:0735-0015
Container-title:Journal of Business & Economic Statistics
language:en
Short-container-title:Journal of Business & Economic Statistics

Author:

Fang Yan¹,Xue Lan²,Martins-Filho Carlos³,Yang Lijian⁴^ORCID

Affiliation:

1. School of Finance, Shanghai University of International Business and Economics, Shanghai, China;

2. Department of Statistics, Oregon State University, Corvallis, OR;

3. Department of Economics, University of Colorado, Boulder, CO;

4. Center for Statistical Science, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation

Simons Foundation

National Science Foundation

National Natural Science Foundation of China

Research Fund for the Doctoral Program of Higher Education of China

Division of Mathematical Sciences

Publisher

Informa UK Limited

Subject

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

Link

https://www.tandfonline.com/doi/pdf/10.1080/07350015.2020.1847123

Reference31 articles.

1. Interpreting and Testing the Scaling Property in Models where Inefficiency Depends on Firm Characteristics

2. NONPARAMETRIC FRONTIER ESTIMATION: A CONDITIONAL QUANTILE-BASED APPROACH

3. Frontier Estimation and Firm-Specific Inefficiency Measures in the Presence of Heteroscedasticity

4. Nonparametric frontier estimation: a robust approach

5. Measuring the efficiency of decision making units

Cited by 1 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. Robust nonparametric frontier estimation in two steps;Econometric Reviews;2023-07-03

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