Optimal Antibiotic Usage with Resistance and Endogenous Technological Change
| dc.creator | Secchi, Silvia | |
| dc.creator | Babcock, Bruce A. | |
| dc.date | 2017-04-01T19:47:30Z | |
| dc.date.accessioned | 2026-07-09T03:24:32Z | |
| dc.description | The authors develop an expected utility model with heterogeneous individuals and apply some of the approaches developed in the energy literature to explicitly identify the public nature characteristics of susceptibility in a dynamic setting and to characterize the optimal intertemporal usage problem from a social planner perspective. The authors determine the optimal time path for the depletion of susceptibility to an existing drug and show that use of antibiotics should be rationed across the population and through time. The authors also discuss the impact of endogenous technological change and analyze the dynamics of research activities in backstop technologies both in a certain and in an uncertain world. The authors show that resources invested in R&D should increase through time if the discovery process is uncertain. | |
| dc.identifier | doi:10.22004/ag.econ.18499 | |
| dc.identifier | https://ageconsearch.umn.edu/record/18499/files/wp010269.pdf | |
| dc.identifier | http://ageconsearch.umn.edu/record/18499 | |
| dc.identifier.uri | http://hdl.handle.net/123456789/532032 | |
| dc.language | eng | |
| dc.publisher | ||
| dc.source | http://ageconsearch.umn.edu/record/18499 | |
| dc.title | Optimal Antibiotic Usage with Resistance and Endogenous Technological Change | |
| dc.type | Text |