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on Insurance Economics |
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Issue of 2013‒08‒23
two papers chosen by Soumitra K Mallick Indian Institute of Social Welfare and Business Management |
| By: | Daniel Kemptner |
| Abstract: | This paper proposes a dynamic life cycle model of health risks, employment, early retirement, and wealth accumulation in order to analyze the health-related risks of consumption and old age poverty. In particular, the model includes a health process, the interaction between health and employment risks, and an explicit modeling of the German public insurance schemes. I rely on a dynamic programming discrete choice framework and estimate the model using data from the German Socio-Economic Panel. I quantify the health-related life cycle risks by simulating scenarios where health shocks do or do not occur at different points in the life cycle for individuals with differing endowments. Moreover, a policy simulation investigates minimum pension benefits as an insurance against old age poverty. While such a reform raises a concern about an increase in abuse of the early retirement option, the simulations indicate that a means test mitigates the moral hazard problem substantially. |
| Keywords: | Dynamic programming, discrete choice, health, employment, early retirement, consumption, tax and transfer system |
| JEL: | C61 I14 J22 J26 |
| Date: | 2013 |
| URL: | http://d.repec.org/n?u=RePEc:diw:diwwpp:dp1320&r=ias |
| By: | A. K. Bahl; O. Baltzer; A. Rau-Chaplin; B. Varghese; A. Whiteway |
| Abstract: | Stochastic simulation techniques employed for the analysis of portfolios of insurance/reinsurance risk, often referred to as `Aggregate Risk Analysis', can benefit from exploiting state-of-the-art high-performance computing platforms. In this paper, parallel methods to speed-up aggregate risk analysis for supporting real-time pricing are explored. An algorithm for analysing aggregate risk is proposed and implemented for multi-core CPUs and for many-core GPUs. Experimental studies indicate that GPUs offer a feasible alternative solution over traditional high-performance computing systems. A simulation of 1,000,000 trials with 1,000 catastrophic events per trial on a typical exposure set and contract structure is performed in less than 5 seconds on a multiple GPU platform. The key result is that the multiple GPU implementation can be used in real-time pricing scenarios as it is approximately 77x times faster than the sequential counterpart implemented on a CPU. |
| Date: | 2013–08 |
| URL: | http://d.repec.org/n?u=RePEc:arx:papers:1308.2572&r=ias |