Abstract
How should one manage the problem of resistance to antibiotics and pesticides? The formal modeling of this question is very much in its infancy. Therefore, we construct a dynamic and stochastic model of antibiotic or pesticide use to investigate the relative merits of two kinds of treatment options for overseeing the problem of resistance. In particular, we identify a likelihood function and then, inter alia, we show that this function has an important bearing on how we might best address the problem of resistance.
Original language | English |
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Pages (from-to) | 39-50 |
Number of pages | 11 |
Journal | Environmental Economics and Policy Studies |
Volume | 7 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2005 |