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JDR Vol.9 No.1 pp. 35-41
(2014)
doi: 10.20965/jdr.2014.p0035

Paper:

Risk Measuring Model on Public Liability Fire and Empirical Study in China

Guo-Xue Gu and Shang-Mei Zhao

School of Economics and Management, Beijing University of Aeronautics and Astronautics, Xueyuan road 37, Haidian District, Beijing 100191, P.R.China

Received:
September 17, 2013
Accepted:
January 13, 2014
Published:
February 1, 2014
Keywords:
public liability fires risk, bandwidth, GLM, gaussian kernel
Abstract

Public fire insurance has recently appeared in China. The basis for calculating the premium is the accurate measurement of Publicliability risk in fire. The generalized linear model (GLM) is widely used for measuring this risk in practice, but the GLM often cannot be satisfied, especially in fat-tailed distribution. A nonparametric Gaussian kernel linear model used to improve the GLM is applied to measure publicliability risk in fire, yielding a favorable effect. Results show three major risk factors that were measured precisely – the nature of the industry, the scale of public places and the level of fire precaution.

Cite this article as:
Guo-Xue Gu and Shang-Mei Zhao, “Risk Measuring Model on Public Liability Fire and Empirical Study in China,” J. Disaster Res., Vol.9, No.1, pp. 35-41, 2014.
Data files:
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