Technical efficiency analysis correcting for biases from observed and unobserved variables: an application to a natural resource management project
By B. Bravo-Ureta, William H. Greene, D. Solís. 2012
143 citations recorded by the source corpus.
Subfields: General Agricultural and Biological Sciences, Management Science and Operations Research, Soil Science
View Paper: https://www.semanticscholar.org/paper/de9aefeb39b04180ddff0136e527b9bab155e348
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In General Agricultural and Biological Sciences
- Sanzidur Rahman
- D. Solís
- B. Bravo-Ureta
- Renato A. Villano
- Euan Fleming
- Nesar Ahmed
- Stephen T. Garnett
In Management Science and Operations Research
- Sanzidur Rahman
- Renato A. Villano
- Euan Fleming
- D. Solís
- B. Bravo-Ureta
- Viet‐Ngu Hoang
- Boon L. Lee
- Nesar Ahmed
In Soil Science
Citations in the corpus
- Smallholder farmers’ adaptation to climate change and its potential contribution to UN’s sustainable development goals of zero hunger and no poverty (2020, background): “However, farmers often self-select into a particular group (Bravo-Ureta et al., 2012; Rahman et al., 2009).”
- Modern Rice Technologies and Productivity in the Philippines: Disentangling Technology from Managerial Gaps (2015, methodology): “As indicated above, we follow the approach of Greene (2010) and Bravo-Ureta et al. (2012) where the PSM and SPF approaches are combined in order to correct biases from both observed and unobserved characteristics.”