A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers
| Main Authors: | , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2015
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/150872 |
Similar Items: A dynamic adoption model with Bayesian learning: An application to U.S. soybean farmers
- GM vs. Non-GM: A survival analysis of U.S. hybrid seed corn
- Learning from China? Manufacturing, investment, and technology transfer in Nigeria
- An approach for improving the sampling efficiency in the Bayesian calibration of computationally expensive simulation models
- Estimating the supply elasticity of cotton in Mali with the Nerlove Model: A bayesian method of moments approach:
- Closing the gaps in experimental and observational crop response estimates: a Bayesian approach
- Bayesian multitrait kernel methods improve multienvironment genome-based prediction