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Infectious Diseases and Economic Growth

  • Aditya Goenka
  • Lin Liu
  • Manh-Hung Nguyen

This paper develops a framework to study the economic impact of infectious diseases by integrating epidemiological dynamics into a neo-classical growth model. There is a two way interaction between the economy and the disease: the incidence of the disease affects labor supply, and investment in health capital can affect the incidence and recuperation from the disease. Thus, both the disease incidence and the income levels are endogenous. The disease dynamics make the control problem non-convex thus usual optimal control results do not apply. We establish existence of an optimal solution, continuity of state variables, show directly that the Hamiltonian inequality holds thus establishing optimality of interior paths that satisfy necessary conditions, and of the steady states. There are multiple steady states and the local dynamics of the model are fully characterized. A disease-free steady state always exists, but it could be unstable. A disease-endemic steady state may exist, in which the optimal health expenditure can be positive or zero depending on the parameters of the model. The interaction of the disease and economic variables is non-linear and can be non-monotonic.

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File URL: http://www2.toulouse.inra.fr/lerna/travaux/cahiers2011/11.04.338.pdf
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Paper provided by LERNA, University of Toulouse in its series LERNA Working Papers with number 11.04.338.

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Date of creation: Feb 2011
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Handle: RePEc:ler:wpaper:11.04.338
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  20. Aditya Goenka & Lin Liu, 2012. "Infectious diseases and endogenous fluctuations," Economic Theory, Springer, vol. 50(1), pages 125-149, May.
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  26. Michael Kremer, 1996. "Integrating Behavioral Choice into Epidemiological Models of AIDS," The Quarterly Journal of Economics, Oxford University Press, vol. 111(2), pages 549-573.
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