Efficiency Analysis: A Primer on Recent Advances
By Christopher F. Parmeter, Subal C. Kumbhakar. 2014
204 citations recorded by the source corpus.
This monograph reviews the econometric literature on the estimation of stochastic frontiers and technical efficiency. Special attention is devoted to current research.
Subfields: Economics and Econometrics, Management Science and Operations Research
View Paper: https://www.semanticscholar.org/paper/8a8cd658a72be5fa13f50b761775d802d52577d0
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Inmaculada C Álvarez
- William E. Griffiths
- G. Hajargasht
- Luis Orea
- William H. Greene
- Lourdes Trujillo
- N. Key
- MarI´a Manuela González
In Management Science and Operations Research
- Inmaculada C Álvarez
- William E. Griffiths
- G. Hajargasht
- Luis Orea
- Lourdes Trujillo
- William H. Greene
- N. Key
- MarI´a Manuela González
Citations in the corpus
- Some models for stochastic frontiers with endogeneity (2016, background): “In view of recent developments in the stochastic frontier literature – see, for example, Parmeter and Kumbhakar (2014) – having a model with time-invariant inefficiencies can be considered too restrictive.”
- A new stochastic frontier model with cross-sectional effects in both noise and inefficiency terms (2019, background): “Schmidt et al., 2009, and Orea et al (2017). On the other hand, a SF model with crosssectional correlation in the inefficiency term could also be useful for examining whether firms benefit from best practices implemented in their adjacent firms.”
- Persistent and transient productive inefficiency: a maximum simulated likelihood approach (2015, unknown): “See Greene (2008) or Parmeter and Kumbhakar (2015) for surveys. distribution (half-normal, exponential or truncated-normal distribution).”