Forecasts and Adaptation
| dc.creator | Shrader, Jeffrey | |
| dc.date | 2017-04-01T19:41:44Z | |
| dc.date.accessioned | 2026-07-09T08:03:05Z | |
| dc.description | For many environmental problems, economics adaptation will likely be the primary means by which potential damages are avoided. How and by how much humans adapt to environmental risks, therefore, is a question of paramount importance. This paper uses a novel dataset documenting the introduction of forecasts of an important, global driver of climate variation—El Nino/Southern Oscillation (ENSO)—to derive the first well identified estimates of total adaptation in a climate exposed industry. The primary results indicate that for the setting under consideration, risks from ENSO events can be almost entirely mitigated given 3 months of advance warning. This adaptation comes from a combination of daily and annual actions. In sum, the results point both to the ability for individuals in some settings to mitigate their own environmental risks given high quality information. | |
| dc.identifier | doi:10.22004/ag.econ.170626 | |
| dc.identifier | https://ageconsearch.umn.edu/record/170626/files/forecasts_and_adaptation_shrader.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/170626 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/595069 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/170626 | |
| dc.title | Forecasts and Adaptation | |
| dc.type | Text |