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The Value of Technology Improvements in Games with Externalities: A Fresh Look at Offsetting Behavior

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  • Michael Hoy
  • Mattias Polborn

Abstract

How should we evaluate the welfare implications of improvements to safety technologies in the presence of offsetting behavior? We model this problem as a symmetric game in which each player’s payoff depends on his own action and the average action of the other players, and analyze under which conditions an improved technology increases or decreases both the level of precautionary activity and equilibrium utility of players. For mandatory safety technologies, the direction of the welfare effect depends on whether the externality between players is positive or negative, and on whether the improved technology increases the individually optimal activity level, taking the activity of other players as given. For safety technologies that individuals can choose whether to employ, we show that an individual will generally expend too much on reducing the size of loss but, depending on conditions that we specify, either too much or too little on features that reduce the individual’s probability of loss.

Suggested Citation

  • Michael Hoy & Mattias Polborn, 2014. "The Value of Technology Improvements in Games with Externalities: A Fresh Look at Offsetting Behavior," CESifo Working Paper Series 4798, CESifo.
  • Handle: RePEc:ces:ceswps:_4798
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    Cited by:

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    2. François Salanié & Nicolas Treich, 2020. "Public and private incentives for self-protection," The Geneva Risk and Insurance Review, Palgrave Macmillan;International Association for the Study of Insurance Economics (The Geneva Association), vol. 45(2), pages 104-113, September.
    3. Talamàs, Eduard & Vohra, Rakesh, 2020. "Free and perfectly safe but only partially effective vaccines can harm everyone," Games and Economic Behavior, Elsevier, vol. 122(C), pages 277-289.
    4. Eduard Talamàs & Rakesh Vohra, 2018. "Go Big or Go Home: A Free and Perfectly Safe but Only Partially Effective Vaccine Can Make Everyone Worse Off," PIER Working Paper Archive 18-006, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania, revised 15 Jan 2018.
    5. P. Battiston & M. Menegatti, 2022. "Interaction in Prevention: A General Theory and an Application to COVID-19 Pandemic," Economics Department Working Papers 2022-EP02, Department of Economics, Parma University (Italy).
    6. Adriani, Fabrizio & Ladley, Dan, 2021. "Social distance, speed of containment and crowding in/out in a network model of contagion," Journal of Economic Behavior & Organization, Elsevier, vol. 190(C), pages 597-625.

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    JEL classification:

    • C70 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - General
    • D60 - Microeconomics - - Welfare Economics - - - General
    • D70 - Microeconomics - - Analysis of Collective Decision-Making - - - General
    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General

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