Abstract
While it reduces the probability of facing a primary (or vaccine-preventable) disease, vaccination may also introduce the risk of facing vaccine induced side effects. In this paper, we address the link between this feature of vaccination and attitudes toward risk. Risk aversion is shown to increase the propensity to vaccinate when the primary disease is lethal or when the risks of primary disease and of side effects are faced in different periods. When the primary disease is non-lethal and may occur together with side effects, we show how the effect of risk aversion is affected by the probability and severity of each disease. The implications of the introduction of random effects of primary disease and of random side effects are also analyzed.
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Notes
In this direction, the model in this work can be seen as a kind of extension of self-protection models where the cost of self-protection is to face a new risk. On this see also the discussion in Sect. 7.
Starting from Menegatti (2009), the two-period framework is alternatively used in the literature on self-protection against financial risks.
This is also the typical case of vaccines against influenza which usually have short-term side effects and are distributed before the expected period of contagion.
In fact, Pauker and Kassirer’s treatment is similar to the self-insurance instrument while vaccination acts as self-protection.
A special case of this reduction, where p = \( \Delta \), is considered in the paper by Nuscheler and Roeder (2016), since they study eradication of the primary disease.
Note that in the case where \( q = 0 \) we would just have that, under our assupmption, the decision maker vaccinates for every positive \( \Delta \).
We emphasize that the results obtained in the following sections hold under alternative formulations of the assumptions introduced in this section on how vaccination affects the probability of contracting the primary disease and on how primary and secondary diseases worsen the health status. For instance, it can be easily shown that replacing \( p - \Delta \) with \( p \) (where \( < 1 \)) or replacing \( H_{0} - M_{1} \) with \( m_{1} H_{0} \) and \( H_{0} - M_{2} \) with \( m_{2} H_{0} \) (where \( 0 < m_{1} < m_{2} < 1) \) does not affect the results derived in next sections.
This is another and less fundamental difference between vaccination and the self-protection literature. In the latter, the decision maker has to select a level of self-protection while for vaccination the decision maker may face a binary decision (vaccinate or not) or decisions involving a finite number of consequences (depending for instance on the use of vaccine adjuvants). Also note that our assumption on agent’s decision implicitly implies that vaccination is voluntary. For a discussion on recommendations versus mandates in vaccination see, for instance, Lawler (2017).
Note that under quadratic utility the mean value theorem ensures that \( u\left( y \right) - u\left( z \right) = u^{\prime } \left( s \right)[y - z] \) where \( s = \frac{y + z}{2} \).
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Crainich, D., Eeckhoudt, L. & Menegatti, M. Vaccination as a trade-off between risks. Ital Econ J 5, 455–472 (2019). https://doi.org/10.1007/s40797-019-00089-w
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DOI: https://doi.org/10.1007/s40797-019-00089-w