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Long-term care social insurance: How to avoid big losses?

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Abstract

Long-term care (LTC) needs are expected to rapidly increase in the next decades, and at the same time, the main provider of LTC, namely the family, is stalling. This calls for more involvement of the state that today covers <20% of these needs and most often in an inconsistent way. Besides the need to help the dependent poor, there is a mounting concern in the middle class that a number of dependent people are incurring costs that could force them to sell all their assets. In this paper, we study the design of a social insurance program that meets this concern. Following Arrow (Am Econ Rev 53:941–973, 1963), we suggest a policy that is characterized by complete insurance above a deductible amount.

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Notes

  1. Following Drèze and Schokkaert (2013), we will show that the equilibrium insurance policy is in line with Arrow’s theorem of the deductible.

  2. If the pre-retirement choices were modelled explicitly, the expected utility would be written as:

    $$\begin{aligned} \mathrm{EU}_{i}=u(y_{i}-P_{i}-s_{i})-v\left( \frac{y_{i}}{w_{i}}\right) +\pi _{1}u(s_{i}-(1-\alpha _{1i})L_{1i})+\pi _{2}u(s_{i}-(1-\alpha _{2i})L_{2i})+(1-\pi _{1}-\pi _{2})u(s_{i}) \end{aligned}$$

    where \(s_{i}\) denotes individual savings. Our model can be seen as a reduced form of this more complete specification. Using this specification would make the analysis more cumbersome but would not change our main insights.

  3. Individuals can obviously decide how to allocate their wealth between, e.g. their old age consumption and bequests left to their children. We do not model these choices explicitly but rather focus on individuals’ total wealth. As long as bequests are considered as normal goods, wealthier individuals will leave higher bequests. In other words, individuals want to smooth both their consumption and their bequests across the states of nature.

  4. We are grateful to an anonymous referee for suggesting this approach.

  5. It is easy to see this with the initial specification where \(c_{i}^{I}=y_{i}-P_{i}\) and \(c_{i}^{D_{1}}=c_{i}^{D_{2}}=y_{i}-P_{i}-D_{i}\).

  6. We can note that all three commodities are normal goods since their levels increase when income goes up.

  7. DARA (resp. IARA and CARA) means that absolute risk aversion decreases (resp. increases and remains constant) when wealth increases. For more details, see Appendix 1.

  8. See, for instance, Seog (2010). For the intuition of this result, note that a higher deductible means less insurance; thus, since under DARA (resp. IARA) wealthier people are less (resp. more) risk averse, they require less (resp. more) insurance.

  9. This is always the case in the “standard” deductible insurance theory in which \(y_{i}\) is exogenous and is thus not affected by changes in \(\lambda \). In our setting with endogenous labour supply, the possibility of an overall increase in wealth cannot be excluded if the increase in \(y_{i}\) is sufficiently large. The general conclusion that the effect of a change in \(\lambda \) on the insurance deductible is ambiguous under DARA remains nevertheless the same.

  10. See, for instance, Briys et al. (1989).

  11. Regarding the relative costs of private and public health insurance and pension schemes see Diamond (1992) and Mitchell (1998). Both argue that public costs tend to be lower than private ones. For the high loading costs in the private LTC insurance market, see Brown and Finkelstein (2007).

  12. Another possible approach would be to introduce Pareto weights on individual utilities, but this would make the analysis (in particular, the comparison of optimal deductibles faced by the two types of individuals) more cumbersome.

  13. For instance, these individuals might require more comfort or even “luxury” in a nursing home or want to go to a more “prestigious” nursing home.

  14. The dependence probabilities are assumed to remain the same for both types. We have adopted this setting for reasons of simplicity. If we had added the quite realistic idea that the dependence probability is higher for the unskilled than for the skilled, the analysis would have become much more intricate.

  15. Apart from assuming that h has higher needs than l in both dependence states of nature, we do not impose any structure on their need differences in the two states: we allow for \(L_{1h}-L_{1l}\lessgtr L_{2h}-L_{2l}\) and discuss the implications of these different cases.

  16. This could be also called “commodity egalitarianism”.

  17. As in Mirrlees (1971), additive utility implies that in the first-best the more productive individual has a lower utility than the less productive one.

  18. Recall that the deductible can be defined as the difference \(c_{i}^{I}-c_{i}^{D_{1}}=c_{i}^{I}-c_{i}^{D_{2}}\).

  19. Indeed, we have

    $$\begin{aligned} u^{\prime }\left( c_{h}^{D_{1}}\right) =u^{\prime }\left( c_{h}^{D_{2}}\right) =\frac{\mu (1+\lambda ^\mathrm{g})n_{h}}{(n_{h}+\gamma )}<u^{\prime }\left( c_{l}^{D_{1}}\right) =u^{\prime }\left( c_{l}^{D_{2}}\right) =\frac{\mu (1+\lambda ^\mathrm{g})n_{l}}{(n_{l}-\gamma )} \end{aligned}$$

    and

    $$\begin{aligned} u^{\prime }\left( c_{h}^{I}\right) =\frac{\mu n_{h}\left[ 1-(1+\lambda ^\mathrm{g})\pi _{1}-(1+\lambda ^\mathrm{g})\pi _{2}\right] }{\left( 1-\pi _{1}-\pi _{2}\right) (n_{h}+\gamma )}<u^{\prime }\left( c_{l}^{I}\right) =\frac{\mu n_{l}\left[ 1-(1+\lambda ^\mathrm{g})\pi _{1}-(1+\lambda ^\mathrm{g})\pi _{2}\right] }{\left( 1-\pi _{1}-\pi _{2}\right) (n_{l}-\gamma )}. \end{aligned}$$
  20. See also Stiglitz (1982).

  21. Interestingly, in this setting our results concerning type l are very close to the findings of Drèze and Schokkaert (2013) who study the relevance of Arrow’s theorem under moral hazard. They also find a state-dependent deductible (the amount of which depends on the price elasticity) and show that a deductible is optimal even when loading costs are zero.

  22. Using the FOCs in Appendix 2 it can be verified that type h has lower marginal utilities than type l in all states of nature, i.e. is again given informational rent.

  23. See, for instance, Cremer et al. (2001).

  24. This also resembles the classical result when individuals differ only in productivity, but leisure and consumption are not separable. Commodity taxation is then also needed since differences in leisure then create differences in the valuation of goods between individual types (see, for instance, Stiglitz 1982).

  25. The decentralization in terms of insurance follows the same reasoning as shown explicitly in Appendix 4 for the case of type l in the second-best without paternalism.

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Acknowledgements

We are grateful to Erik Schokkaert and two anonymous referees for helpful comments. We also thank the participants of CIRANO conference on The Design and Evaluation of Long-Term Care Policy in Montreal, Workshop on Risk, fairness and well-being in collective choice in Leuven, SCOR conference on long-term care in Paris, 15th Journées Louis-André Gérard-Varet in Aix-en-Provence and seminars at CORE (Louvain-la-Neuve), CERDI (Clermont-Ferrand), LEM (Lille) and the University of Valenciennes for useful comments and questions. The financial support from the Belgian Science Policy Office (BELSPO) research project CRESUS is gratefully acknowledged. P. Pestieau gratefully acknowledges financial support from the Chaire “Marché des risques et création de valeur” of the FDR/SCOR.

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Appendices

Appendix 1: Comparative statics in the laissez-faire

Fully differentiating Eqs. (810) with respect to \(w_{i},\) we get, respectively,

$$\begin{aligned}&\frac{\partial z_{i}^{1}}{\partial w_{i}}\left[ (q^{0})^{2}\pi _{1}u^{\prime \prime }\left( c_{i}^{D_{1}}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) (q^{1})^{2}\right] \nonumber \\&\qquad -\frac{\partial y_{i}}{\partial w_{i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{1}+\frac{\partial z_{i}^{2}}{\partial w_{i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{1}q^{2}=0, \nonumber \\\end{aligned}$$
(37)
$$\begin{aligned}&\frac{\partial z_{i}^{2}}{\partial w_{i}}\left[ (q^{0})^{2}\pi _{2}u^{\prime \prime }\left( c_{i}^{D_{2}}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) (q^{2})^{2}\right] \nonumber \\&\qquad -\frac{\partial y_{i}}{\partial w_{i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{2}+\frac{\partial z_{i}^{1}}{\partial w_{i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{1}q^{2}=0\nonumber \\ \end{aligned}$$
(38)

and

$$\begin{aligned}&\frac{\partial y_{i}}{\partial w_{i}}\left[ \left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) -(q^{0})^{2}\frac{v^{\prime \prime }\left( \frac{y_{i}}{w_{i}}\right) }{w_{i}^{2}}\right] \nonumber \\&\qquad -\frac{\partial z_{i}^{1}}{\partial w_{i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{1}-\frac{\partial z_{i}^{2}}{\partial w_{i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{2}\nonumber \\&\qquad +(q^{0})^{2}\frac{v^{\prime \prime }\left( \frac{y_{i}}{w_{i}}\right) y_{i}}{w_{i}^{3}}+(q^{0})^{2}\frac{v^{\prime }\left( \frac{y_{i}}{w_{i}}\right) }{w_{i}^{2}}=0 \end{aligned}$$
(39)

Solving the system of Eqs. (3739) for \(\frac{\partial z_{i}^{1}}{\partial w_{i}}\), \(\frac{\partial z_{i}^{2}}{\partial w_{i}}\) and \(\frac{\partial y_{i}}{\partial w_{i}}\), we obtain

$$\begin{aligned}&\frac{\partial y_{i}}{\partial w_{i}}=\frac{\left[ 1\right] \cdot \left[ 2\right] }{\left[ 3\right] }>0,\\&\frac{\partial z_{i}^{1}}{\partial w_{i}}=\frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{1}\pi _{2}u^{\prime \prime }\left( c_{i}^{D_{2}}\right) \frac{\partial y_{i}}{\partial w_{i}}}{\left[ 1\right] }>0,\\&\frac{\partial z_{i}^{2}}{\partial w_{i}}=\frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{2}\pi _{1}u^{\prime \prime }\left( c_{i}^{D_{1}}\right) \frac{\partial y_{i}}{\partial w_{i}}}{\left[ 1\right] }>0 \end{aligned}$$

where

$$\begin{aligned}&\left[ 1\right] \equiv \pi _{2}u^{\prime \prime }\left( c_{i}^{D_{2}}\right) (q^{0})^{2}\pi _{1}u^{\prime \prime }\left( c_{i}^{D_{1}}\right) +\pi _{2}u^{\prime \prime }\left( c_{i}^{D_{2}}\right) \left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) (q^{1})^{2}\\&\qquad \quad \quad +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) (q^{2})^{2}\pi _{1}u^{\prime \prime }\left( c_{i}^{D_{1}}\right) >0,\\&\left[ 2\right] \equiv -\left( q^{0}\right) ^{2}\frac{v^{\prime \prime }\left( \frac{y_{i}}{w_{i}}\right) y_{i}}{w_{i}^{3}}-\left( q^{0}\right) ^{2}\frac{v^{\prime }\left( \frac{y_{i}}{w_{i}}\right) }{w_{i}^{2}}<0,\\&\left[ 3\right] \equiv \left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) \pi _{2}u^{\prime \prime }\left( c_{i}^{D_{2}}\right) (q^{0})^{2}\pi _{1}u^{\prime \prime }\left( c_{i}^{D_{1}}\right) -(q^{0})^{2}\frac{v^{\prime \prime }\left( \frac{y_{i}}{w_{i}}\right) }{w_{i}^{2}}\left[ 1\right] <0. \end{aligned}$$

Using Eq. (7), we have

$$\begin{aligned} \frac{\partial z_{i}^{0}}{\partial w_{i}}=\frac{1}{q^{0}}\left[ \frac{\partial y_{i}}{\partial w_{i}}-q^{1}\frac{\partial z_{i}^{1}}{\partial w_{i}}-q^{2}\frac{\partial z_{i}^{2}}{\partial w_{i}}\right] =\frac{q^{0}\pi _{2}u^{\prime \prime }\left( c_{i}^{D_{2}}\right) \pi _{1}u^{\prime \prime } \left( c_{i}^{D_{1}}\right) \frac{\partial y_{i}}{\partial w_{i}}}{\left[ 1\right] }>0. \end{aligned}$$

Since from Eqs. (8) and (9) we have \(u'(c_{i}^{D_{1}})=u'(c_{i}^{D_{2}})\,\Leftrightarrow c_{i}^{D_{1}}=c_{i}^{D_{2}}\), it is also true that \(u^{\prime \prime }(c_{i}^{D_{1}})=u^{\prime \prime }(c_{i}^{D_{2}})\). Using this and the definitions of \(q^{1}\) and \(q^{2}\), it is straightforward to see that \(\frac{\partial z_{i}^{1}}{\partial w_{i}}=\frac{\partial z_{i}^{2}}{\partial w_{i}}\). Moreover, note that \(\frac{\partial z_{i}^{0}}{\partial w_{i}}=\frac{\partial c_{i}^{I}}{\partial w_{i}}\) and, since \(L_{1i}\) and \(L_{2i}\) remain unchanged, we also have that \(\frac{\partial z_{i}^{1}}{\partial w_{i}}=\frac{\partial c_{i}^{D_{1}}}{\partial w_{i}}\) and \(\frac{\partial z_{i}^{2}}{\partial w_{i}}=\frac{\partial c_{i}^{D_{2}}}{\partial w_{i}}\).

We can thus write

$$\begin{aligned} \frac{\partial c_{i}^{D_{1}}}{\partial w_{i}}-\frac{\partial c_{i}^{I}}{\partial w_{i}}=\frac{\partial c_{i}^{D_{2}}}{\partial w_{i}}-\frac{\partial c_{i}^{I}}{\partial w_{i}}=\frac{\frac{\partial y_{i}}{\partial w_{i}}\pi _{2}u^{\prime \prime } \left( c_{i}^{D_{2}}\right) \left[ 4\right] }{\left[ 1\right] } \end{aligned}$$
(40)

where

$$\begin{aligned} \left[ 4\right] \equiv \left( 1-\pi _{1}-\pi _{2}\right) (1+\lambda )\pi _{1}u^{\prime \prime }\left( c_{i}^{I}\right) -\left[ 1-(1+\lambda )(\pi _{1}+\pi _{2})\right] \pi _{1}u^{\prime \prime }\left( c_{i}^{D_{1}}\right) . \end{aligned}$$

The sign of \(\left[ 4\right] \) is ambiguous in the general case and differs depending on the absolute risk aversion (ARA) exhibited by the utility function. In particular, we are now going to show that \(\left[ 4\right] >0\) under decreasing absolute risk aversion (DARA), \(\left[ 4\right] <0\) under increasing absolute risk aversion (IARA) and \(\left[ 4\right] =0\) under constant absolute risk aversion (CARA).

To see this, let us first note that DARA (resp. IARA and CARA) means that

$$\begin{aligned} ARA(c)=\frac{-u^{\prime \prime }(c)}{u^{\prime }(c)}<(\text {resp.}>\text { and }=)\text { }ARA(d)=\frac{-u^{\prime \prime }(d)}{u^{\prime }(d)}\text { for }c>d, \end{aligned}$$

where \(\frac{-u^{\prime \prime }(x)}{u^{\prime }(x)}\) is the Arrow-Pratt measure of absolute risk aversion at wealth x.

Thus, noting that from (8) we have \(c_{i}^{I}>c_{i}^{D_{1}},\) under DARA (resp. IARA and CARA) preferences we can write

$$\begin{aligned}&\frac{-u^{\prime \prime }\left( c_{i}^{I}\right) }{u^{\prime }\left( c_{i}^{I}\right) }<(\text {resp.}>\text { and }=)\text { }\frac{-u^{\prime \prime }\left( c_{i}^{D_{1}}\right) }{u^{\prime }\left( c_{i}^{D_{1}}\right) }\\&\Longleftrightarrow \\&u^{\prime \prime }\left( c_{i}^{I}\right) >(\text {resp.}<\text { and }=)\text { } \frac{u^{\prime \prime }\left( c_{i}^{D_{1}}\right) }{u^{\prime }\left( c_{i}^{D_{1}}\right) } \text { }u^{\prime }\left( c_{i}^{I}\right) \end{aligned}$$

We can then multiply both sides by \(\left( 1-\pi _{1}-\pi _{2}\right) (1+\lambda )\pi _{1}\) and subtract \(\left[ 1-(1+\lambda )(\pi _{1}+\pi _{2})\right] \pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\) from both sides, which gives

$$\begin{aligned}&\left( 1-\pi _{1}-\pi _{2}\right) (1+\lambda )\pi _{1}u^{\prime \prime } \left( c_{i}^{I}\right) -\left[ 1-(1+\lambda )(\pi _{1}+\pi _{2})\right] \pi _{1}u^{\prime \prime }\left( c_{i}^{D_{1}}\right) \nonumber \\&\qquad >(\text {resp.}<\text { and }=)\text { }\frac{u^{\prime \prime } \left( c_{i}^{D_{1}}\right) }{u^{\prime }\left( c_{i}^{D_{1}}\right) } \left[ \text { }u^{\prime }\left( c_{i}^{I}\right) \left( 1-\pi _{1}-\pi _{2}\right) (1+\lambda )\pi _{1}\right. \nonumber \\&\qquad \quad \left. -\left[ 1-(1+\lambda )(\pi _{1}+\pi _{2})\right] \pi _{1}u^{\prime }\left( c_{i}^{D_{1}}\right) \right] =0 \end{aligned}$$
(41)

noting that the expression in the last big bracket is zero from Eq. (8).

The left-hand side of inequality (41) is exactly the definition of \(\left[ 4\right] ;\) we therefore indeed have that under DARA (resp. IARA and CARA), \(\left[ 4\right] >(\)resp. < and \(=)\) 0. We can now use this in (40), which gives that

$$\begin{aligned} \frac{\partial c_{i}^{D_{1}}}{\partial w_{i}}-\frac{\partial c_{i}^{I}}{\partial w_{i}}=\frac{\partial c_{i}^{D_{2}}}{\partial w_{i}}-\frac{\partial c_{i}^{I}}{\partial w_{i}}<(\text {resp.}>\text { and }=)\text { }0\text { } \end{aligned}$$

under DARA (resp. IARA and CARA) preferences.

Fully differentiating Eqs. (810) with respect to \(L_{1i},\) we get, respectively,

$$\begin{aligned}&\frac{\partial z_{i}^{1}}{\partial L_{1i}}\left[ \left( q^{0}\right) ^{2}\pi _{1}u^{\prime \prime }\left( c_{i}^{D_{1}}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) \left( q^{1}\right) ^{2}\right] \nonumber \\&\qquad -\frac{\partial y_{i}}{\partial L_{1i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{1}\nonumber \\&\qquad +\frac{\partial z_{i}^{2}}{\partial L_{1i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{1}q^{2}-\left( q^{0}\right) ^{2}\pi _{1}u^{\prime \prime }\left( c_{i}^{D_{1}}\right) =0, \end{aligned}$$
(42)
$$\begin{aligned}&\frac{\partial z_{i}^{2}}{\partial L_{1i}}\left[ \left( q^{0}\right) ^{2}\pi _{2}u^{\prime \prime }\left( c_{i}^{D_{2}}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) \left( q^{2}\right) ^{2}\right] \nonumber \\&\qquad -\frac{\partial y_{i}}{\partial L_{1i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{2}+\frac{\partial z_{i}^{1}}{\partial L_{1i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }\left( c_{i}^{I}\right) q^{1}q^{2}=0\nonumber \\ \end{aligned}$$
(43)

and

$$\begin{aligned}&\frac{\partial y_{i}}{\partial L_{1i}}\left[ \left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})-(q^{0})^{2}\frac{v^{\prime \prime }\left( \frac{y_{i}}{w_{i}}\right) }{w_{i}^{2}}\right] \nonumber \\&\qquad -\frac{\partial z_{i}^{1}}{\partial L_{1i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{1}-\frac{\partial z_{i}^{2}}{\partial L_{1i}}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{2}=0\nonumber \\ \end{aligned}$$
(44)

Solving the system of Eqs. (4244) for \(\frac{\partial z_{i}^{1}}{\partial L_{1i}}\), \(\frac{\partial z_{i}^{2}}{\partial L_{1i}}\) and \(\frac{\partial y_{i}}{\partial L_{1i}}\), we obtain

$$\begin{aligned} \frac{\partial y_{i}}{\partial L_{1i}}= & {} \frac{q^{1}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})(q^{0})^{2}\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})}{\left[ 3\right] }>0,\nonumber \\ \frac{\partial z_{i}^{1}}{\partial L_{1i}}= & {} \frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{1}\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})\frac{\partial y_{i}}{\partial L_{1i}}}{\left[ 1\right] }\nonumber \\&+\frac{\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\left[ (q^{0})^{2}\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})+(q^{2})^{2}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})\right] }{\left[ 1\right] }>0,\nonumber \\ \frac{\partial z_{i}^{2}}{\partial L_{1i}}= & {} \frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{2}\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\left[ \frac{\partial y_{i}}{\partial L_{1i}}-q^{1}\right] }{\left[ 1\right] }<0. \end{aligned}$$
(45)

The last sign follows from the fact that \(\frac{\partial y_{i}}{\partial L_{1i}}<q^{1}\). This can be easily seen from (45) using the above definition of \(\left[ 3\right] \) and noting that

$$\begin{aligned} \frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})(q^{0})^{2}\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})}{\left[ 3\right] }<1. \end{aligned}$$

Using Eq. (7), we have

$$\begin{aligned} \frac{\partial z_{i}^{0}}{\partial L_{1i}}=\frac{1}{q^{0}}\left[ \frac{\partial y_{i}}{\partial L_{1i}}-q^{1}\frac{\partial z_{i}^{1}}{\partial L_{1i}}-q^{2}\frac{\partial z_{i}^{2}}{\partial L_{1i}}\right] =\frac{q^{0}\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\left[ \frac{\partial y_{i}}{\partial L_{1i}}-q^{1}\right] }{\left[ 1\right] }<0. \end{aligned}$$

Note that \(\frac{\partial z_{i}^{0}}{\partial L_{1i}}=\frac{\partial c_{i}^{I}}{\partial L_{1i}}\) and, since \(L_{2i}\) remains unchanged, \(\frac{\partial z_{i}^{2}}{\partial L_{1i}}=\frac{\partial c_{i}^{D_{2}}}{\partial L_{1i}}\). On the other hand, we have

$$\begin{aligned} \frac{\partial c_{i}^{D_{1}}}{\partial L_{1i}}=\frac{\partial z_{i}^{1}}{\partial L_{1i}}-1=\frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{1}\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})\left[ \frac{\partial y_{i}}{\partial L_{1i}}-q^{1}\right] }{\left[ 1\right] }<0. \end{aligned}$$

Using the fact that \(u^{\prime \prime }\left( c_{i}^{D_{1}}\right) =u^{\prime \prime }\left( c_{i}^{D_{2}}\right) \) and the definitions of \(q^{1}\) and \(q^{2}\), it is straightforward to see that \(\frac{\partial c_{i}^{D_{1}}}{\partial L_{1i}}=\frac{\partial c_{i}^{D_{2}}}{\partial L_{1i}}\).

We can thus write

$$\begin{aligned} \frac{\partial c_{i}^{D_{1}}}{\partial L_{1i}}-\frac{\partial c_{i}^{I}}{\partial L_{1i}}=\frac{\partial c_{i}^{D_{2}}}{\partial L_{1i}}-\frac{\partial c_{i}^{I}}{\partial L_{1i}}=\frac{\left[ \frac{\partial y_{i}}{\partial L_{1i}}-q^{1}\right] \pi _{2}u^{\prime \prime }\left( c_{i}^{D_{2}}\right) \left[ 4\right] }{\left[ 1\right] } \end{aligned}$$
(46)

Recalling from above that \(\left[ 4\right] >(\)resp. < and \(=)\) 0 under DARA (resp. IARA and CARA) preferences, we have that

$$\begin{aligned} \frac{\partial c_{i}^{D_{1}}}{\partial L_{1i}}-\frac{\partial c_{i}^{I}}{\partial L_{1i}}=\frac{\partial c_{i}^{D_{2}}}{\partial L_{1i}}-\frac{\partial c_{i}^{I}}{\partial L_{1i}}>(\text {resp.}<\text { and }=)\text { }0\text { } \end{aligned}$$

under DARA (resp. IARA and CARA).

Fully differentiating Eqs. (810) with respect to \(\lambda ,\) we get, respectively,

$$\begin{aligned}&\frac{\partial z_{i}^{1}}{\partial \lambda }\left[ (q^{0})^{2}\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})+\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})(q^{1})^{2}\right] -\frac{\partial y_{i}}{\partial \lambda }\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{1}\nonumber \\&\qquad +\frac{\partial z_{i}^{2}}{\partial \lambda }\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{1}q^{2}-q^{0}\pi _{1}u^{\prime }(c_{i}^{D_{1}})\left( \pi _{1}+\pi _{2}\right) -q^{0}\pi _{1}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }(c_{i}^{I})\nonumber \\&\qquad +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{1}\left[ \pi _{1}\left( z_{i}^{1}-z_{i}^{0}\right) +\pi _{2}\left( z_{i}^{2}-z_{i}^{0}\right) \right] =0, \end{aligned}$$
(47)
$$\begin{aligned}&\frac{\partial z_{i}^{2}}{\partial \lambda }\left[ (q^{0})^{2}\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})+\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})(q^{2})^{2}\right] -\frac{\partial y_{i}}{\partial \lambda }\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{2}\nonumber \\&\qquad +\frac{\partial z_{i}^{1}}{\partial \lambda }\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{1}q^{2}-q^{0}\pi _{2}u^{\prime }(c_{i}^{D_{2}})\left( \pi _{1}+\pi _{2}\right) -q^{0}\pi _{2}\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }(c_{i}^{I})\nonumber \\&\qquad +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{2}\left[ \pi _{1}\left( z_{i}^{1}-z_{i}^{0}\right) +\pi _{2}\left( z_{i}^{2}-z_{i}^{0}\right) \right] =0 \end{aligned}$$
(48)

and

$$\begin{aligned}&\frac{\partial y_{i}}{\partial \lambda }\left[ \left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})-(q^{0})^{2}\frac{v^{\prime \prime }\left( \frac{y_{i}}{w_{i}}\right) }{w_{i}^{2}}\right] -\frac{\partial z_{i}^{1}}{\partial \lambda }\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{1}\nonumber \\&\qquad -\frac{\partial z_{i}^{2}}{\partial \lambda }\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{2}+q^{0}\left( \pi _{1}+\pi _{2}\right) \frac{v^{\prime }\left( \frac{y_{i}}{w_{i}}\right) }{w_{i}}\nonumber \\&\qquad -\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})\left[ \pi _{1}\left( z_{i}^{1}-z_{i}^{0}\right) +\pi _{2}\left( z_{i}^{2}-z_{i}^{0}\right) \right] =0 \end{aligned}$$
(49)

Solving the system of Eqs. (4749) for \(\frac{\partial z_{i}^{1}}{\partial \lambda }\), \(\frac{\partial z_{i}^{2}}{\partial \lambda }\) and \(\frac{\partial y_{i}}{\partial \lambda }\), we obtain

$$\begin{aligned} \frac{\partial y_{i}}{\partial \lambda }= & {} \frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})(q^{0})^{2}\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})\left[ \pi _{1}\left( z_{i}^{1}-z_{i}^{0}\right) +\pi _{2}\left( z_{i}^{2}-z_{i}^{0}\right) \right] }{\left[ 3\right] }\nonumber \\&\qquad +\frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }(c_{i}^{I})q^{0}\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})\left( \pi _{1}+\pi _{2}\right) \left[ 4\right] }{\left[ 3\right] }, \end{aligned}$$
(50)
$$\begin{aligned}&\frac{\partial z_{i}^{1}}{\partial \lambda }=\frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{1}\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})\left[ \frac{\partial y_{i}}{\partial \lambda }-\pi _{1}\left( z_{i}^{1}-z_{i}^{0}\right) -\pi _{2}\left( z_{i}^{2}-z_{i}^{0}\right) \right] }{\left[ 1\right] }\nonumber \\&\qquad +\frac{q^{0}\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})\pi _{1}\left[ u^{\prime }(c_{i}^{D_{1}})\left( \pi _{1}+\pi _{2}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }(c_{i}^{I})\right] }{\left[ 1\right] }, \end{aligned}$$
(51)
$$\begin{aligned}&\frac{\partial z_{i}^{2}}{\partial \lambda }=\frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})q^{2}\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\left[ \frac{\partial y_{i}}{\partial \lambda }-\pi _{1}\left( z_{i}^{1}-z_{i}^{0}\right) -\pi _{2}\left( z_{i}^{2}-z_{i}^{0}\right) \right] }{\left[ 1\right] }\nonumber \\&\qquad +\frac{q^{0}\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\pi _{2}\left[ u^{\prime }(c_{i}^{D_{2}})\left( \pi _{1}+\pi _{2}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }(c_{i}^{I})\right] }{\left[ 1\right] } \end{aligned}$$
(52)

Let us first discuss \(\frac{\partial y_{i}}{\partial \lambda }\). It is easy to see that its first term is always positive, while the sign of the second term depends on the sign of \(\left[ 4\right] \). Therefore, the second term is positive (resp. negative and equal to zero) under DARA (resp. IARA and CARA) preferences. This implies that \(\frac{\partial y_{i}}{\partial \lambda }\) is clearly positive under DARA and CARA, but its sign is ambiguous under IARA. Moreover, it can be easily seen that \(\frac{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime \prime }(c_{i}^{I})(q^{0})^{2}\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})}{\left[ 3\right] }<1\). This means that the first term of \(\frac{\partial y_{i}}{\partial \lambda }\) is smaller than \(\pi _{1}\left( z_{i}^{1}-z_{i}^{0}\right) +\pi _{2}\left( z_{i}^{2}-z_{i}^{0}\right) \). We therefore have \(\frac{\partial y_{i}}{\partial \lambda }<\pi _{1}\left( z_{i}^{1}-z_{i}^{0}\right) +\pi _{2}\left( z_{i}^{2}-z_{i}^{0}\right) \) under CARA and IARA preferences, while this comparison is ambiguous under DARA.

Let us now turn to \(\frac{\partial z_{i}^{1}}{\partial \lambda }\) and \(\frac{\partial z_{i}^{2}}{\partial \lambda }\). First, using the fact that \(u^{\prime \prime }(c_{i}^{D_{1}})=u^{\prime \prime }(c_{i}^{D_{2}})\) and the definitions of \(q^{1}\) and \(q^{2}\), it is straightforward to see that \(\frac{\partial z_{i}^{1}}{\partial \lambda }=\frac{\partial z_{i}^{2}}{\partial \lambda }\). It can then be noted that the second terms of \(\frac{\partial z_{i}^{1}}{\partial \lambda }\) and \(\frac{\partial z_{i}^{2}}{\partial \lambda }\) are always negative (substitution effects as explained in the main text). As for the first terms (income effects), it follows from the above discussion of \(\frac{\partial y_{i}}{\partial \lambda }\) that they are also negative under CARA and IARA, but their sign is ambiguous under DARA. Thus, under CARA and IARA we clearly have \(\frac{\partial z_{i}^{1}}{\partial \lambda }=\frac{\partial z_{i}^{2}}{\partial \lambda }<0\), while under DARA the sign is undetermined.

Using Eq. (7), we have

$$\begin{aligned} \frac{\partial z_{i}^{0}}{\partial \lambda }= & {} \frac{1}{q^{0}}\left[ \frac{\partial y_{i}}{\partial \lambda }-q^{1}\frac{\partial z_{i}^{1}}{\partial \lambda }-q^{2}\frac{\partial z_{i}^{2}}{\partial \lambda }\right] \\= & {} \frac{q^{0}\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})\pi _{1}u^{\prime \prime }(c_{i}^{D_{1}})\left[ \frac{\partial y_{i}}{\partial \lambda }-\pi _{1}\left( z_{i}^{1}-z_{i}^{0}\right) -\pi _{2}\left( z_{i}^{2}-z_{i}^{0}\right) \right] }{\left[ 1\right] }\\&-\frac{\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})\pi _{1}\left( q^{1}+q^{2}\right) \left[ u^{\prime }(c_{i}^{D_{1}})\left( \pi _{1}+\pi _{2}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }(c_{i}^{I})\right] }{\left[ 1\right] } \end{aligned}$$

The sign of \(\frac{\partial z_{i}^{0}}{\partial \lambda }\) is ambiguous. While its second term is always positive (substitution effect), the ambiguity comes from the first term (income effect). Under CARA and IARA preferences the first term is negative, which makes the sign of the whole expression undetermined. Under DARA preferences the sign of the first term is itself undetermined.

Note that \(\frac{\partial z_{i}^{0}}{\partial \lambda }=\frac{\partial c_{i}^{I}}{\partial \lambda }\) and, since \(L_{1i}\) and \(L_{2i}\) remain unchanged, we have that \(\frac{\partial z_{i}^{1}}{\partial \lambda }=\frac{\partial c_{i}^{D_{1}}}{\partial \lambda }\) and \(\frac{\partial z_{i}^{2}}{\partial \lambda }=\frac{\partial c_{i}^{D_{2}}}{\partial \lambda }\).

We can thus write

$$\begin{aligned}&\frac{\partial c_{i}^{D_{1}}}{\partial \lambda }-\frac{\partial c_{i}^{I}}{\partial \lambda }=\frac{\partial c_{i}^{D_{2}}}{\partial \lambda }-\frac{\partial c_{i}^{I}}{\partial \lambda }=\frac{\left[ \frac{\partial y_{i}}{\partial \lambda }-\pi _{1}\left( z_{i}^{1}-z_{i}^{0}\right) -\pi _{2}\left( z_{i}^{2}-z_{i}^{0}\right) \right] \pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})[4]}{\left[ 1\right] }\nonumber \\&\qquad +\frac{\pi _{2}u^{\prime \prime }(c_{i}^{D_{2}})\pi _{1}\left[ u^{\prime }(c_{i}^{D_{1}})\left( \pi _{1}+\pi _{2}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }(c_{i}^{I})\right] }{\left[ 1\right] } \end{aligned}$$
(53)

The second term of the RHS of (53) (substitution effect) is always negative. The first term (income effect) is also negative under IARA preferences but is equal to zero under CARA and undetermined under DARA. We thus have that

$$\begin{aligned} \frac{\partial c_{i}^{D_{1}}}{\partial \lambda }-\frac{\partial c_{i}^{I}}{\partial \lambda }=\frac{\partial c_{i}^{D_{2}}}{\partial \lambda }-\frac{\partial c_{i}^{I}}{\partial \lambda }<0\text { } \end{aligned}$$

under IARA and CARA, but the sign is undetermined under DARA.

Appendix 2: FOCs of the government’s problem (general case)

The FOCs of the government’s problem in the general case write as follows:

$$\begin{aligned}&\frac{\partial \mathcal {L}}{\partial z_{h}^{1}}=\pi _{1}u^{\prime }(c_{h}^{D_{1}})\left[ n_{h}+\gamma \right] -\mu n_{h}p^{1}=0 \end{aligned}$$
(54)
$$\begin{aligned}&\frac{\partial \mathcal {L}}{\partial z_{h}^{2}}=\pi _{2}u^{\prime }(c_{h}^{D_{2}})\left[ n_{h}+\gamma \right] -\mu n_{h}p^{2}=0 \end{aligned}$$
(55)
$$\begin{aligned}&\frac{\partial \mathcal {L}}{\partial z_{h}^{0}}=(1-\pi _{1}-\pi _{2})u^{\prime }(c_{h}^{I})\left[ n_{h}+\gamma \right] -\mu n_{h}p^{0}=0 \end{aligned}$$
(56)
$$\begin{aligned}&\frac{\partial \mathcal {L}}{\partial y_{h}}=-v'\left( \frac{y_{h}}{w_{h}}\right) \frac{1}{w_{h}}\left[ n_{h}+\gamma \right] +\mu n_{h}=0 \end{aligned}$$
(57)
$$\begin{aligned}&\frac{\partial \mathcal {L}}{\partial z_{l}^{1}}=n_{l}\pi _{1}u^{\prime }(c_{l}^{D_{1}})-\mu n_{l}p^{1}-\gamma \pi _{1}u^{\prime }(\widetilde{c}_{l}^{D_{1}})=0 \end{aligned}$$
(58)
$$\begin{aligned}&\frac{\partial \mathcal {L}}{\partial z_{l}^{2}}=n_{l}\pi _{2}u^{\prime }(c_{l}^{D_{2}})-\mu n_{l}p^{2}-\gamma \pi _{2}u^{\prime }(\widetilde{c}_{l}^{D_{2}})=0 \end{aligned}$$
(59)
$$\begin{aligned}&\frac{\partial \mathcal {L}}{\partial z_{l}^{0}}=(1-\pi _{1}-\pi _{2})u^{\prime }(c_{l}^{I})\left[ n_{l}-\gamma \right] -\mu n_{l}p^{0}=0 \end{aligned}$$
(60)
$$\begin{aligned}&\frac{\partial \mathcal {L}}{\partial y_{l}}=-n_{l}v'\left( \frac{y_{l}}{w_{l}}\right) \frac{1}{w_{l}}+\mu n_{l}+\gamma v'\left( \frac{y_{l}}{w_{h}}\right) \frac{1}{w_{h}}=0 \end{aligned}$$
(61)

Appendix 3: Specific examples with identical needs

Recall that \(D_{h}=c_{h}^{I}-c_{h}^{D_{1}}=c_{h}^{I}-c_{h}^{D_{2}}\) and \(D_{l}=c_{l}^{I}-c_{l}^{D_{1}}=c_{l}^{I}-c_{l}^{D_{2}}\).

Let us first assume that \(u(x)=\ln x\). Then, from (54) to (55) we have \(c_{h}^{D_{1}}=c_{h}^{D_{2}}=\frac{(n_{h}+\gamma )}{\mu (1+\lambda ^\mathrm{g})n_{h}}\) and from (56), \(c_{h}^{I}=\frac{\left( 1-\pi _{1}-\pi _{2}\right) (n_{h}+\gamma )}{\mu n_{h}\left[ 1-(1+\lambda ^\mathrm{g})\pi _{1}-(1+\lambda ^\mathrm{g})\pi _{2}\right] }\).

Similarly, from (58) to (59) we have \(c_{l}^{D_{1}}=c_{l}^{D_{2}}=\frac{(n_{l}-\gamma )}{\mu (1+\lambda ^\mathrm{g})n_{l}}\) and from (60), \(c_{l}^{I}=\frac{\left( 1-\pi _{1}-\pi _{2}\right) (n_{l}-\gamma )}{\mu n_{l}\left[ 1-(1+\lambda ^\mathrm{g})\pi _{1}-(1+\lambda ^\mathrm{g})\pi _{2}\right] }\).

We then get

$$\begin{aligned} D_{h}=\frac{(n_{h}+\gamma )\lambda ^\mathrm{g}}{\mu n_{h}\left[ 1-(1+\lambda ^\mathrm{g})\pi _{1}-(1+\lambda ^\mathrm{g})\pi _{2}\right] (1+\lambda ^\mathrm{g})} \end{aligned}$$

and

$$\begin{aligned} D_{l}=\frac{(n_{l}-\gamma )\lambda ^\mathrm{g}}{\mu n_{l}\left[ 1-(1+\lambda ^\mathrm{g})\pi _{1}-(1+\lambda ^\mathrm{g})\pi _{2}\right] (1+\lambda ^\mathrm{g})}. \end{aligned}$$

Noting that \(\frac{(n_{h}+\gamma )}{n_{h}}>1\) and \(\frac{(n_{l}-\gamma )}{n_{l}}<1\), we have \(D_{h}>D_{l}\).

Let us now consider \(u(x)=-e^{-x}\). Now, from (54) to (55) we have \(c_{h}^{D_{1}}=c_{h}^{D_{2}}=-\ln \left[ \frac{\mu (1+\lambda ^\mathrm{g})n_{h}}{(n_{h}+\gamma )}\right] \) and from (56), \(c_{h}^{I}=-\ln \left[ \frac{\mu n_{h}\left[ 1-(1+\lambda ^\mathrm{g})\pi _{1}-(1+\lambda ^\mathrm{g})\pi _{2}\right] }{\left( 1-\pi _{1}-\pi _{2}\right) (n_{h}+\gamma )}\right] \).

Similarly, from (58) to (59) we have \(c_{l}^{D_{1}}=c_{l}^{D_{2}}=-\ln \left[ \frac{\mu (1+\lambda ^\mathrm{g})n_{l}}{(n_{l}-\gamma )}\right] \) and from (60) we have \(c_{l}^{I}=-\ln \left[ \frac{\mu n_{l}\left[ 1-(1+\lambda ^\mathrm{g})\pi _{1}-(1+\lambda ^\mathrm{g})\pi _{2}\right] }{\left( 1-\pi _{1}-\pi _{2}\right) (n_{l}-\gamma )}\right] \).

We then obtain

$$\begin{aligned} D_{h}=D_{l}=\ln \left[ \frac{(1+\lambda ^\mathrm{g})\left( 1-\pi _{1}-\pi _{2}\right) }{\left[ 1-\pi _{1}(1+\lambda ^\mathrm{g})-\pi _{2}(1+\lambda ^\mathrm{g})\right] }\right] . \end{aligned}$$

Appendix 4: Implementation of the (non-paternalistic) second-best with different needs

In this appendix, we come back to the initial specification of the individual problem with an explicit modelling of private insurance (as presented in Sect. 2). Individuals thus earn income \(y_{i}\), pay private insurance premiums \(P_{i}\) and get insurance benefits \(\alpha _{1i}L_{1i}\) and \(\alpha _{2i}L_{2i}.\) We assume that the government can observe all these variables and consider the following (nonlinear) policy instruments:

  • Tax based on income and insurance premiums \(T(y_{i},P_{i})\) paid before the realisation of the state of nature;

  • Tax based on insurance benefits in the state of low severity dependence \(T_{1}(\alpha _{1i}L_{1i});\)

  • Tax based on insurance benefits in the state of high severity dependence \(T_{2}(\alpha _{2i}L_{2i}).\)

We also assume here that the government has the same loading costs as private insurers, i.e. \(\lambda ^\mathrm{g}=\lambda \).

Given the government’s policy, the Lagrangian of individual i writes as

$$\begin{aligned} \mathcal {L}&=\pi _{1}u\left( c_{i}^{D_{1}}\right) +\pi _{2}u\left( c_{i}^{D_{2}}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u\left( c_{i}^{I}\right) -v\left( \frac{y_{i}}{w_{i}}\right) \\&\quad +\mu _{i}\left[ P_{i}-\pi _{1}(1+\lambda )\alpha _{1i}L_{1i}-\pi _{2}(1+\lambda )\alpha _{2i}L_{2i}\right] \end{aligned}$$

where

\(c_{i}^{D_{1}}=y_{i}-P_{i}-T(y_{i},P_{i})-(1-\alpha _{1i})L_{1i}-T_{1}(\alpha _{1i}L_{1i})\)

\(c_{i}^{D_{2}}=y_{i}-P_{i}-T(y_{i},P_{i})-(1-\alpha _{2i})L_{2i}-T_{2}(\alpha _{2i}L_{2i})\)

\(c_{i}^{I}=y_{i}-P_{i}-T(y_{i},P_{i}).\)

Assuming interior solutions, the individual FOCs write as follows:

$$\begin{aligned} \frac{\partial \mathcal {L}}{\partial y_{i}}= & {} \left[ \pi _{1}u^{\prime }\left( c_{i}^{D_{1}}\right) +\pi _{2}u^{\prime }\left( c_{i}^{D_{2}}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }\left( c_{i}^{I}\right) \right] \left( 1-T_{y_{i}}\right) -\frac{v^{\prime }\left( \frac{y_{i}}{w_{i}}\right) }{w_{i}}=0 \nonumber \\\end{aligned}$$
(62)
$$\begin{aligned} \frac{\partial \mathcal {L}}{\partial P_{i}}= & {} \left[ \pi _{1}u^{\prime }\left( c_{i}^{D_{1}}\right) +\pi _{2}u^{\prime }\left( c_{i}^{D_{2}}\right) +\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }(c_{i}^{I})\right] \left( -1-T_{p_{i}}\right) +\mu _{i}=0 \nonumber \\\end{aligned}$$
(63)
$$\begin{aligned} \frac{\partial \mathcal {L}}{\partial \alpha _{1i}}= & {} u^{\prime }\left( c_{i}^{D_{1}}\right) \left[ 1-T_{1}^{\prime }(\alpha _{1i}L_{1i})\right] -\mu _{i}(1+\lambda )=0 \end{aligned}$$
(64)
$$\begin{aligned} \frac{\partial \mathcal {L}}{\partial \alpha _{2i}}= & {} u^{\prime }\left( c_{i}^{D_{2}}\right) \left[ 1-T_{2}^{\prime }(\alpha _{2i}L_{2i})\right] -\mu _{i}(1+\lambda )=0 \end{aligned}$$
(65)

where \(T_{y_{i}}\) and \(T_{p_{i}}\) denote the partial derivatives of T with respect to \(y_{i}\) and \(P_{i}.\)

From (62), we have

$$\begin{aligned} \frac{v'\left( \frac{y_{i}}{w_{i}}\right) }{(1-\pi _{1}-\pi _{2})u'(c_{i}^{I})}=w_{i}\left( 1-T_{y_{i}}\right) \left[ 1+\frac{\pi _{1}u^{\prime }(c_{i}^{D_{1}})}{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }(c_{i}^{I})}+\frac{\pi _{2}u^{\prime }(c_{i}^{D_{2}})}{\left( 1-\pi _{1}-\pi _{2}\right) u^{\prime }(c_{i}^{I})}\right] \nonumber \\ \end{aligned}$$
(66)

Combining (64) and (65), we get

$$\begin{aligned} \frac{u^{\prime }(c_{i}^{D_{1}})}{u^{\prime }(c_{i}^{D_{2}})}=\frac{\left[ 1-T_{2}^{\prime }(\alpha _{2i}L_{2i})\right] }{\left[ 1-T_{1}^{\prime }(\alpha _{1i}L_{1i})\right] } \end{aligned}$$
(67)

Combining (64) and (63), we can get

$$\begin{aligned} \frac{u^{\prime }(c_{i}^{I})}{u^{\prime }(c_{i}^{D_{1}})}= & {} \frac{-\pi _{1}}{\left( 1-\pi _{1}-\pi _{2}\right) }+\frac{\left[ 1-T_{1}^{\prime }(\alpha _{1i}L_{1i})\right] }{\left( 1-\pi _{1}-\pi _{2}\right) (1+\lambda )\left( 1+T_{p_{i}}\right) }\nonumber \\&-\frac{\pi _{2}}{\left( 1-\pi _{1}-\pi _{2}\right) }\frac{\left[ 1-T_{1}^{\prime }(\alpha _{1i}L_{1i})\right] }{\left[ 1-T_{2}^{\prime }(\alpha _{2i}L_{2i})\right] } \end{aligned}$$
(68)

Finally, combining (65) and (63), we can get

$$\begin{aligned} \frac{u^{\prime }(c_{i}^{I})}{u^{\prime }(c_{i}^{D_{2}})}= & {} \frac{-\pi _{2}}{\left( 1-\pi _{1}-\pi _{2}\right) }+\frac{\left[ 1-T_{2}^{\prime }(\alpha _{2i}L_{2i})\right] }{\left( 1-\pi _{1}-\pi _{2}\right) (1+\lambda )\left( 1+T_{p_{i}}\right) }\nonumber \\&-\frac{\pi _{1}}{\left( 1-\pi _{1}-\pi _{2}\right) }\frac{\left[ 1-T_{2}^{\prime }(\alpha _{2i}L_{2i})\right] }{\left[ 1-T_{1}^{\prime }(\alpha _{1i}L_{1i})\right] } \end{aligned}$$
(69)

Let us first look at labour supply. For type h, combining (66) with (16), (18) and (19), we have \(T_{y_{h}}=0\).

For type l, combining (66) with (17), (20) and (21), we get

$$\begin{aligned} T_{y_{l}}=1-\frac{\left[ n_{l}-\gamma \right] \beta }{\left[ n_{l}-\gamma \frac{w_{l}v'\left( \frac{y_{l}}{w_{h}}\right) }{w_{h}v'\left( \frac{y_{l}}{w_{l}}\right) }\right] }>0 \end{aligned}$$

where

$$\begin{aligned} \beta =\frac{\left[ n_{l}-\gamma \frac{u'(\widetilde{c}_{l}^{D_{1}})}{u'(c_{l}^{D_{1}})}\right] \left[ n_{l}-\gamma \frac{u'(\widetilde{c}_{l}^{D_{2}})}{u'(c_{l}^{D_{2}})}\right] }{\left[ n_{l}-\gamma \frac{u'(\widetilde{c}_{l}^{D_{1}})}{u'(c_{l}^{D_{1}})}\right] \left[ n_{l}-\gamma \frac{u'(\widetilde{c}_{l}^{D_{2}})}{u'(c_{l}^{D_{2}})}\right] +p^{1}\left[ n_{l}-\gamma \frac{u'(\widetilde{c}_{l}^{D_{2}})}{u'(c_{l}^{D_{2}})}\right] \left[ \gamma \frac{u'(\widetilde{c}_{l}^{D_{1}})}{u'(c_{l}^{D_{1}})}-\gamma \right] +p^{2}\left[ n_{l}-\gamma \frac{u'(\widetilde{c}_{l}^{D_{1}})}{u'(c_{l}^{D_{1}})}\right] \left[ \gamma \frac{u'(\widetilde{c}_{l}^{D_{2}})}{u'(c_{l}^{D_{2}})}-\gamma \right] }<1. \end{aligned}$$

Turning to insurance, from the discussion in Sect. 4.2 it follows immediately that for type h we have \(T_{p_{h}}=0,\) \(T_{1}^{\prime }(\alpha _{1h}L_{1h})=0\) and \(T_{2}^{\prime }(\alpha _{2h}L_{2h})=0.\)

For type l, combining the government’s FOCs (58) and (59), we can get

$$\begin{aligned} \frac{u^{\prime }(c_{i}^{D_{1}})}{u^{\prime }(c_{i}^{D_{2}})}=1-\frac{\gamma }{n_{l}}\left[ \frac{u^{\prime }(\widetilde{c}_{l}^{D_{2}})-u^{\prime }(\widetilde{c}_{l}^{D_{1}})}{u^{\prime }(c_{l}^{D_{2}})}\right] . \end{aligned}$$

Combining this with (67), we have

$$\begin{aligned} \frac{\left[ 1-T_{2}^{\prime }(\alpha _{2i}L_{2i})\right] }{\left[ 1-T_{1}^{\prime }(\alpha _{1i}L_{1i})\right] }=1-\frac{\gamma }{n_{l}}\left[ \frac{u^{\prime }(\widetilde{c}_{l}^{D_{2}})-u^{\prime }(\widetilde{c}_{l}^{D_{1}})}{u^{\prime }(c_{l}^{D_{2}})}\right] \end{aligned}$$
(70)

We know from the discussion in the main text that the optimal allocation implies \(u^{\prime }(c_{i}^{D_{1}})<u^{\prime }(c_{i}^{D_{2}})\) if \(\widehat{L}_{2h}>\widehat{L}_{1h}\), \(u^{\prime }(c_{i}^{D_{1}})>u^{\prime }(c_{i}^{D_{2}})\) if \(\widehat{L}_{2h}<\widehat{L}_{1h}\) and \(u^{\prime }(c_{i}^{D_{1}})=u^{\prime }(c_{i}^{D_{2}})\) if \(\widehat{L}_{2h}=\widehat{L}_{1h}\). We thus have that \(T_{2}^{\prime }(\alpha _{2l}L_{2l})>T_{1}^{\prime }(\alpha _{1l}L_{1l})\) if \(\widehat{L}_{2h}>\widehat{L}_{1h}\), \(T_{2}^{\prime }(\alpha _{2l}L_{2l})<T_{1}^{\prime }(\alpha _{1l}L_{1l})\) if \(\widehat{L}_{2h}<\widehat{L}_{1h}\) and \(T_{2}^{\prime }(\alpha _{2l}L_{2l})=T_{1}^{\prime }(\alpha _{1l}L_{1l})\) if \(\widehat{L}_{2h}=\widehat{L}_{1h}\).

Further, combining (68) with (24), using (70) and rearranging, we obtain

$$\begin{aligned}&\frac{\left[ 1-T_{1}^{\prime }(\alpha _{1l}L_{1l})\right] }{\left( 1+T_{p_{l}}\right) }=\frac{\left[ 1-\pi _{1}(1+\lambda )-\pi _{2}(1+\lambda )\right] \left[ n_{l}-\gamma \frac{u'\left( \widetilde{c}_{l}^{D_{1}}\right) }{u'\left( c_{l}^{D_{1}}\right) }\right] }{\left[ n_{l}-\gamma \right] }\nonumber \\&\qquad +\pi _{1}(1+\lambda )+\frac{\pi _{2}(1+\lambda )n_{l}u^{\prime }\left( c_{l}^{D_{2}}\right) }{n_{l}u^{\prime }\left( c_{l}^{D_{2}}\right) -\gamma \left[ u^{\prime }\left( \widetilde{c}_{l}^{D_{2}}\right) -u^{\prime }\left( \widetilde{c}_{l}^{D_{1}}\right) \right] } \end{aligned}$$
(71)

Similarly, combining (69) with (25), we can get

$$\begin{aligned}&\frac{\left[ 1-T_{2}^{\prime }(\alpha _{2l}L_{2l})\right] }{\left( 1+T_{p_{l}}\right) }=\frac{\left[ 1-\pi _{1}(1+\lambda )-\pi _{2}(1+\lambda )\right] \left[ n_{l}-\gamma \frac{u'\left( \widetilde{c}_{l}^{D_{2}}\right) }{u'\left( c_{l}^{D_{2}}\right) }\right] }{\left[ n_{l}-\gamma \right] }\nonumber \\&\qquad +\pi _{2}(1+\lambda )+\frac{\pi _{1}(1+\lambda )\left( n_{l}u^{\prime }\left( c_{l}^{D_{2}}\right) -\gamma \left[ u^{\prime }\left( \widetilde{c}_{l}^{D_{2}}\right) -u^{\prime }\left( \widetilde{c}_{l}^{D_{1}}\right) \right] \right) }{n_{l}u^{\prime }\left( c_{l}^{D_{2}}\right) } \end{aligned}$$
(72)

Equations (7072) define \(T_{p_{l}},\) \(T_{1}^{\prime }(\alpha _{1l}L_{1l})\) and \(T_{2}^{\prime }(\alpha _{2l}L_{2l}).\) It can be noticed that these marginal taxes can be chosen in several ways as long as the equations are satisfied. For instance, one of the three marginal taxes can be equal to zero as long as the other two are chosen optimally. These equations also show that taxing only the premium is generally not enough: this is only possible if \(\widehat{L}_{2h}=\widehat{L}_{1h}\). Otherwise, in addition to the marginal tax on the premium, a marginal tax or subsidy is needed in at least one of the two dependence states.

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Klimaviciute, J., Pestieau, P. Long-term care social insurance: How to avoid big losses?. Int Tax Public Finance 25, 99–139 (2018). https://doi.org/10.1007/s10797-017-9445-4

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