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Individual behaviours when facing health risk and their aggregate impacts on the society

Abstract : During the past 2 decades, health has become a more and more important role in our economy life: on the one hand, we observe a significant improvement of average lifespan across the globe, on the other hand, the health expenditures is also increasing enormously, which has become a shake to the public health system of many countries. In this dissertation, we begin with these 2 stylized facts but we also show that there is more to it: though the average level of health has been improved significantly, health related inequalities are still being reported and actually tend to increase, plus, we also show that countries with important health expenditures performs generally poorly in terms of health system efficiency, in short, this improvement of human health we are talking about seems to benefit more those who can pay the bills. In order to figure out what causes this phenomenon and eventually propose practical solutions that help solve the problem, in this dissertation we take 2 approaches: first we start with the deterministic approach and also the more theoretical approach, in this approach we build our model based on the Grossman health capital model and we examine how people would behave when their health fluctuates, then we turn to the second approach, which is the stochastic approach and also the more practical approach, in this approach we use the Markov chain to simulate the real health risk and examine the behaviors of individuals of different social-economic status(SES) under this circumstance, we also aggregate these behaviors to see what impact could be generated on the whole society and we test reversely how these behavior would affected by public policies.
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Submitted on : Wednesday, November 27, 2019 - 4:07:07 PM
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  • HAL Id : tel-02383237, version 1

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Ze Zhong Shang. Individual behaviours when facing health risk and their aggregate impacts on the society. Economics and Finance. Université du Maine, 2019. English. ⟨NNT : 2019LEMA2001⟩. ⟨tel-02383237⟩

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