Panel Frontier Models is a stochastic frontier analysis framework that belongs to the class of efficiency measurement models and is distinguished by its use of panel data to estimate time-varying inefficiency effects while accounting for unobserved heterogeneity through fixed or random effects specifications.
316
Publications
26K
Citations
645
Authors
408
Institutions
Publications per year
2017–2026
100
Variants
Panel Stochastic Frontier Models
Parents
Publications
316
1–5 of 316
Authors
645
- SC
15
h-index
- RC
11
h-index
- MF
6
h-index
- EGEfthymios G. Tsionas
Athens University of Economics and Business, Greece
5 publications · 292 citations
5
h-index
- AH
5
h-index
1–5 of 645
Institutions
408
Binghamton University
Binghamton, United States
10 h-index
10 publications
995 citations
Rice University
Houston, United States
8 h-index
8 publications
1K citations
UCLouvain
Louvain-la-Neuve, Belgium
7 h-index
10 publications
1.8K citations
The University of Texas at Austin
Austin, United States
6 h-index
6 publications
1.2K citations
University of Science and Technology of China
Hefei, China
6 h-index
16 publications
1.7K citations
University of New England
Armidale, Australia
6 h-index
9 publications
7K citations
Michigan State University
East Lansing, United States
5 h-index
7 publications
1.4K citations
City University of Hong Kong
Hong Kong, Hong Kong
5 h-index
7 publications
1.3K citations
1–8 of 408
Venues
- Journal of Productivity Analysis
15 publications · 4.4K citations
14
h-index
- Journal of Econometrics
11 publications · 2.8K citations
11
h-index
- RePEc: Research Papers in Economics
Repository · 11 publications · 211 citations
10
h-index
- Applied Economics
10 publications · 556 citations
10
h-index
- European Journal of Operational Research
9 publications · 854 citations
9
h-index
1–5