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The reasonable person standard: a new perspective on the incentive effects of a tailored negligence standard

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Abstract

This paper compares the effects of a uniform reasonable person standard to a due care standard that is tailored to individual capabilities. This is done in a framework in which potential injurers can invest in developing greater capability. I show that the uniform reasonable person standard may induce better or worse investment incentives, depending on whether greater capability is represented by reduced precaution costs or reduced accident costs. In so doing, I show that recent results showing that the reasonable person standard creates better investment incentives are not general, but depend on the model of injurer capacity used. I go on to show the availability of “over-tailoring” of the negligence standard as a novel form of subsidy for investment in care technology. In some circumstances, holding an injurer to a lower standard of care than would be optimal in a perfectly static world can result in a trade-off between dynamic and static efficiency that is superior to that generated by either a uniform or tailored standard of care.

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Notes

  1. In the literature of technical change induced by liability law and government regulation, the distinction between a uniform and tailored standard is often framed in terms of “ex ante” regulation, where the regulator sets the relevant behavioral norms prior to observing the technical capabilities of the individual parties, and “ex post” regulation, where the regulator sets the relevant behavioral norms after observing the technical capabilities of the individual parties (see Endres and Friehe 2013a).

  2. As Endres and Friehe have explained, the assumptions underlying the “Standard Model” were used in seminal papers by Downing and White (1986) and Milliman and Prince (1989), and became “the standard way to stylize progress in abatement technology and…part of the environmental economics textbook folklore.” (Endres and Friehe 2012, see also Harris 2006; Sterner 2003; Russell 2001; Xepapadeas 1997; Goodstein 1995).

  3. Because this paper focuses on accident law, rather than environmental regulation, I am using somewhat different terminology than Endres and Friehe. They primarily write for an audience of environmental economists and are concerned with the development of pollution abatement technology and, in keeping with the relevant literature, refer to the investment in greater capability as being in “care technology.” For reasons that will become clear, this term is too narrow, and potentially misleading, in the accident context. Endres and Friehe also, following convention, use the term “investment” as shorthand for the level of “care technology” attained. In the context of accident law, this shorthand could create unnecessary confusion over whether it is meant to refer to the cost of the injurer’s investment or the level of “care technology” achieved as a result of the investment. I will endeavor to be clear on which I am referring to.

  4. Endres and Friehe assume, as do I, that there are a sufficient number of injurers and choices of \(\alpha\) that a given injurer’s choice of \(\alpha\) will not materially affect the reasonable person standard.

  5. This effect is driven by the assumption that courts will assign liability for all accidents caused by a negligent defendant, and not just those accidents that could have been avoided by reasonable care. This assumption, while conventional in the literature, is inconsistent with traditional tort doctrine, though it arguably better reflects actual judicial practice (Grady 1983; Kahan 1989; Korsmo 2013). The effect is not crucial to the main argument of this paper.

  6. For example, the prospect of facing or avoiding liability for accidents probably plays a relatively trifling role in an individual’s decision whether or not to engage in physical exercise to get stronger and fitter. Other costs and benefits of exercise would undoubtedly dominate. In such cases, a tailored standard would likely be preferable.

  7. As noted above, to be general, both C and H could vary with \(\alpha\). I will focus on the simple Inverse Model case, as it helps to draw out the essential consequences of the model.

  8. See Restatement (Third) of Torts: Liability for Physical and Emotional Harm § 11 cmt. b (2005).

  9. As noted above, it is possible for a lower (higher) standard of care to be optimal for the more (less) capable, even under the Standard Model where greater capability manifests as a reduced cost of precaution, if the cross-derivative, \(C_{x\alpha }\), is positive. Similarly, it is possible for a higher (lower) standard of care to be optimal for the more (less) capable under the Inverse Model, if the cross-derivative, \(H_{x\alpha }\), is negative. Where greater capability reduces either precaution costs or accident costs in a straightforward way, however, the Standard Model prescribes a higher (lower) standard of care for the more (less) capable, and the Inverse Model prescribes the reverse.

  10. Again, this effect is driven by the assumption that courts will assign liability for all accidents caused by a negligent defendant, and not just those accidents that could have been avoided by reasonable care. See supra n.4.

  11. Of course, to the extent that driving too fast poses danger to the driver himself, in addition to third parties, a truly bad driver may rationally choose to drive below the speed limit even under the Inverse Model.

  12. As before, the results are less conclusive if we generalize by allowing the signs of the cross-derivatives to stray from the standard assumptions (Endres and Friehe 2012).

  13. It would, of course, be possible if the sign of the cross-derivatives departs from the standard assumptions.

References

  • Baker, E., & Adu-Bonnah, K. (2008). Investment in risky R&D programs in the face of climate uncertainty. Energy Economics, 30, 465–486.

    Article  Google Scholar 

  • Baker, E., Clarke, L., & Shittu, E. (2008). Technical change and the marginal cost of abatement. Energy Economics, 30, 2799–2816.

    Article  Google Scholar 

  • Baker, E., Clarke, L., & Weyant, J. (2006). Optimal technology R&D in the face of climate uncertainty. Climate Change, 78, 157–179.

    Article  Google Scholar 

  • Baker, E., & Shittu, E. (2006). Profit-maximizing R&D in response to a random carbon tax. Resource and Energy Economics, 28, 160–180.

    Article  Google Scholar 

  • Baker, E., & Shittu, E. (2008). Uncertainty and endogenous technical change in climate policy models. Energy Economics, 30, 2817–2828.

    Article  Google Scholar 

  • Dari-Mattiacci, G., & Franzoni, L. A. (2014). Innovative negligence rules. American Law and Economics Review, 16, 333–365.

    Article  Google Scholar 

  • Diamond, P. A. (1974). Single activity accidents. Journal of Legal Studies, 3, 107–164.

    Article  Google Scholar 

  • Downing, P. B., & White, L. J. (1986). Innovation in pollution control. Journal of Environmental Economics and Management, 13, 18-29.

    Article  Google Scholar 

  • Endres, A., & Friehe, T. (2011). The reasonable person standard: Trading off static and dynamic efficiency. European Journal of Law and Economics, 37, 249–267.

    Article  Google Scholar 

  • Endres, A., & Friehe, T. (2012). Generalized progress of abatement technology: Incentives under environmental liability law. Environmental and Resource Economics, 53, 61–71.

    Article  Google Scholar 

  • Endres, A., & Friehe, T. (2013a). The monopolistic polluter under environmental liability law: Incentives for abatement and R&D. Social Choice and Welfare, 40, 753–770.

    Article  Google Scholar 

  • Endres, A., & Friehe, T. (2013b). Led on the wrong track? A note on the direction of technical change under environmental liability law. Journal of Public Economic Theory, 15, 506–518.

    Article  Google Scholar 

  • Goodstein, E. S. (1995). Economics and the environment. Englewood Cliffs: Prentice Hall.

    Google Scholar 

  • Grady, M. (1983). A new positive economic theory of negligence. Yale Law Journal, 92, 799–829.

    Article  Google Scholar 

  • Grady, M. (1988). Why are people negligent? Technology, nondurable precautions, and the medical malpractice explosion. Northwestern University Law Review, 82, 293–334.

    Google Scholar 

  • Harris, J. M. (2006). Environmental and natural resource economics. Boston: Houghton Mifflin Company.

    Google Scholar 

  • Jacob, J. (2015). Innovation in risky industries under liability law: The case of “Double-Impact” innovations. Journal of Institutional and Theoretical Economics (forthcoming).

  • Kahan, M. (1989). Causation and incentives to take care under the negligence rule. Journal of Legal Studies, 18, 427–447.

    Article  Google Scholar 

  • Korsmo, C. (2013). Lost in translation: Law, economics, and subjective standards of care in negligence law. Penn State Law Review118, 283–335.

    Google Scholar 

  • Landes, W., & Posner, R. (1987). The economic structure of Tort law. Cambridge, MA: Harvard University Press.

    Book  Google Scholar 

  • Milliman, S. R., & Prince, R. (1989). Firm incentives to promote technological change in pollution control. Journal of Environmental Economics and Management, 17, 247–265.

    Article  Google Scholar 

  • Russell, C. S. (2001). Applying economics to the environment. Oxford: Oxford University Press.

    Google Scholar 

  • Shavell, S. (1980). Strict liability versus negligence. Journal of Legal Studies, 9, 1–25.

    Article  Google Scholar 

  • Shavell, S. (1987). Economic analysis of accident law. Cambridge, MA: Harvard University Press.

    Book  Google Scholar 

  • Sterner, T. (2003). Policy instruments for environmental and natural resource management. Washington, DC: Resources for the Future.

    Google Scholar 

  • Xepapadeas, A. (1997). Advanced principles in environmental policy. Cheltenham: Edward Elgar.

    Google Scholar 

Download references

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Correspondence to Charles R. Korsmo.

Appendix

Appendix

The following numerical example provides an illustration of the possibility of over-tailoring. Consider a world with only two skill levels, unskilled (α U ) and skilled (α S ). For unskilled and skilled injurers, respectively, let us assume that accident costs and precaution costs are as follows:

Unskilled

$$H_{U} \left( x \right) = Ae^{ - Bx}$$
(16)
$$C_{U} \left( x \right) = e^{Cx} - 1$$
(17)

Skilled

$$H_{S} \left( x \right) = SAe^{ - Bx} ,{\text{ where }}\left( {S < \, 1} \right)$$
(18)
$$C_{S} \left( x \right) = e^{Cx} - 1$$
(19)

These formulas are arbitrary, except that they have been designed to satisfy the assumptions of the Inverse Model. That is, both skilled and unskilled injurers experience the same costs of precaution, but skilled injurers generate lower expected accident costs (by a factor of S) at a given level of precaution. In addition, both types of injurers experience diminishing returns from additional precaution, and positive non-decreasing costs of taking additional precaution. The constants, at this point, are arbitrary, but A, B, and C can be thought of as representing, respectively, the expected losses if the injurer exercises no precaution, the rate at which expected accident costs decline with additional precaution, and the rate at which precaution costs increase with additional precaution.

Given these assumptions, and assuming no investment in developing skill is required to become unskilled, the social costs generated by unskilled and skilled injurers, respectively, are:

$$SC_{U} = Ae^{ - Bx} + e^{Cx} - 1$$
(20)
$$SC_{S} = SAe^{ - Bx} + e^{Cx} - 1 + g(\alpha_{S} , \theta )$$
(21)

Confronted with these social costs, a policy maker attempting to tailor the standard of care so as minimize social costs, but unable to observe g, would impose a tailored standard of care

$$x_{TU} = \frac{{\ln \left( \frac{AB}{C} \right)}}{B + C}$$
(22)

on unskilled injurers, and a tailored standard of care

$$x_{TS} = \frac{{\ln \left( \frac{ABS}{C} \right)}}{B + C}$$
(23)

on skilled injurers.

Re-arranging the equations, we find that total social costs are lower for a skilled injurer (and thus skill is desirable) when:

$$g(\alpha_{S} , \theta ) < A\left( {e^{{ - Bx_{TU} }} - Se^{{ - Bx_{S} }} } \right) + \left( {e^{{Cx_{TU} }} - e^{{Cx_{S} }} } \right)$$
(24)

where x S is the care exercised by the skilled injurer, which may be different from x TS .

The key question, then, is whether this inequality is ever satisfied where (1) x S  < x TS ; (2) the injurer would not choose to become skilled if held to a standard of x TS ; and (3) the injurer would choose to become skilled if held to the lower standard x S ? If so, it would be possible to set an over-tailored standard x OT for skilled injurers that, while sub-optimal in a purely static world, leads to lower overall social costs in a world where injurers can invest in skill.

An injurer held to a standard of care x OT will find it in her interest to become skilled when the costs of becoming skilled are less than the reduction in precaution costs she will experience as a result of being held to a lower standard of care:

$$g(\alpha_{S} , \theta ) < e^{{Cx_{TU} }} - e^{{Cx_{OT} }}$$
(25)

Solving this equation for x OT , we obtain:

$$x_{OT} < \frac{{\ln (e^{{Cx_{TU} }} - g(\alpha_{S} , \theta ))}}{C}$$
(26)

In extremis, the injurer held to a standard of care x OT will find it just barely in her interest to become skilled when

$$g(\alpha_{S} , \theta ) = e^{{Cx_{TU} }} - e^{{Cx_{OT} }}$$
(27)

Combining this with Eq. 24 and solving for x OT gives

$$x_{OT} > \frac{\ln S}{B} + x_{TU}$$
(28)

Taken together, these equations establish the following conditions for over-tailoring

$$\left\{ {\begin{array}{*{20}c} {\frac{\ln S}{B} + x_{TU} < x_{OT} < \frac{{\ln (e^{{Cx_{TU} }} - g(\alpha_{S} , \theta ))}}{C}} \\ {x_{OT} < x_{TS} } \\ \end{array} } \right.$$
(29)

Whenever these conditions are satisfied, it would be possible to achieve reduced total social costs by lowering the applicable standard of care for skilled injurers below x TS to x OT in order to induce injurers to become skilled (see Fig. 2).

Fig. 2
figure 2

This graph shows how, under the Inverse Model, an over-tailored standard of care can result in lower overall social costs. Here, the cost of becoming skilled is high enough that even tailoring the standard of care provides insufficient incentive for the injurer to become skilled. In the graph, this is shown by the fact that the costs faced by a skilled injurer held to a tailored standard, IC S (tailored)—represented by the dotted green horizontal line—are higher than (above) the costs faced by an unskilled injurer, IC U —represented by the solid black horizontal line. If, however, the skilled injurer is held to a standard of care between x min (over) and x max (over)—which are even lower than (to the left of) x S *—the injurer will have sufficient incentive to become skilled, while still generating fewer total social costs than if he were to remain unskilled (Color figure online)

It may be useful to provide a numerical example, if it is not immediately apparent that these conditions may all be satisfied simultaneously. If, for example, we set our constants to A = $100, B = 0.1, C = 0.1, \(g\left( {\alpha_{S} , \theta } \right)\) = $7, and S = 0.2 (meaning that skilled injurers cause one-fifth as many accident losses at any given level of care), we obtain the following tailored standards

$$x_{TU} = 2 3.0 3$$
$$x_{TS} = 1 4. 9 8$$

Faced with these standards, however, we can see that injurers would be better off remaining unskilled. The costs experienced by an unskilled injurer are approximately $9, while the costs experienced by a skilled injurer, including the cost of becoming skilled, are approximately $10.50 even under a tailored standard (they would be even higher, approximately $12.90, under a uniform standard). As a result of all injurers remaining unskilled, total social costs—given by Eq. 20—are approximately $19.

Equation 29, however, yields the following range of values for an “over-tailored” standard of care for skilled injurers.

$$6. 9 3< x_{OT} < 10. 9 9$$

Imposing a standard of care below x OT  = 10.99 on skilled injurers would result in skilled injurers experiencing total costs below $9—an improvement over unskilled costs, thus giving injurers an incentive to become skilled. At the same time, skilled injurers subject to a standard x OT  > 6.93 would still generate fewer social costs than unskilled injurers. Skilled injurers subject to a standard x S  = 10.99, for example, would generate total social costs of only approximately $15.70, which is an improvement over the total social costs of approximately $19 generated by unskilled injurers. As the standard of care x OT is slid down still further to 6.93, more of the benefits of skill are transferred to the skilled injurer, yielding skilled costs of only approximately $8, and social costs of approximately $17.90—higher, but still an improvement over the approximately $19 in social costs generated by unskilled injurers.

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Korsmo, C.R. The reasonable person standard: a new perspective on the incentive effects of a tailored negligence standard. Eur J Law Econ 41, 459–477 (2016). https://doi.org/10.1007/s10657-015-9487-y

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