A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh
Climate change assessments often inadequately address uncertainty when estimating damages. Using a dynamic economy‐wide model of Bangladesh, damages from historical climate variability and future anthropogenic climate change are estimated and decomposed. The stochastic simulation approach used avoid...
| Main Authors: | , , |
|---|---|
| Format: | Journal Article |
| Language: | Inglés |
| Published: |
Wiley
2012
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/153167 |
Similar Items: A stochastic simulation approach to estimating the economic impacts of climate change in Bangladesh
- Agricultural productivity in Paraguay: stochastic frontier estimation using rural household data
- A novel approach to stochastic input-output modeling
- Current climate variability and future climate change: Estimated growth and poverty impacts for Zambia
- Semiparametric stochastic frontier estimation via profile likelihood
- The economic value of seasonal forecasts stochastic economywide analysis for East Africa
- Agricultural productivity growth in Sub-Saharan Africa: Malmquist and stochastic frontier approach