Technical efficiency in competing panel data models: a study of Norwegian grain farming

By Subal C. Kumbhakar, Gudbrand Lien, J. Brian Hardaker. 2014

532 citations recorded by the source corpus.

Subfields: Environmental Chemistry, General Agricultural and Biological Sciences, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/a588e0da2887b33a761cccddbb30028d0cb62da0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Chemistry

1. Laure Latruffe *

In General Agricultural and Biological Sciences

1. Laure Latruffe *
2. Christopher F. Parmeter
3. Subal C. Kumbhakar
4. Jean Joseph Minviel
5. Erol Taymaz

In Management Science and Operations Research

1. Christopher F. Parmeter
2. Laure Latruffe *
3. Subal C. Kumbhakar
4. Jean Joseph Minviel
5. William H. Greene
6. B. Bravo-Ureta
7. Erol Taymaz

Citations in the corpus

• Efficiency Analysis: A Primer on Recent Advances (2014, background): “Note that even if there is no noise in the Kumbhakar et al. (2009) model, selection cannot be ignored.”
• Effect of public subsidies on farm technical efficiency: a meta-analysis of empirical results (2017, background): “In Europe, one publication has focused on Switzerland (Ferjani 2008), two on Norway (Kumbhakar and Lien 2010; Kumbhakar, Lien, and Hardaker 2014) and two on Russia (Sotnikov 1998; Sedik, Trueblood, and Arnade 2000).”
• Persistent and transient productive inefficiency: a maximum simulated likelihood approach (2015, unknown): “Kumbhakar et al. (2012) suggested a multistep procedure based only on least squares regressions.”