The economic consequences of drought episodes are increasingly important, although they are often difficult to apprehend in part because of the complexity of the underlying mechanisms. In this article, we will study one of the consequences of drought, namely the risk of subsidence (or more specifically clay shrinkage induced subsidence), for which insurance has been mandatory in France for several decades. Using data obtained from several insurers, representing about a quarter of the household insurance market, over the past twenty years, we propose some statistical models to predict the frequency but also the intensity of these droughts, for insurers, showing that climate change will have probably major economic consequences on this risk. But even if we use more advanced models than standard regression-type models (here random forests to capture non linearity and cross effects), it is still difficult to predict the economic cost of subsidence claims, even if all geophysical and climatic information is available.
翻译:干旱事件的经济后果越来越重要,尽管由于基本机制的复杂性,往往很难部分地加以遏制。在本篇文章中,我们将研究干旱的后果之一,即沉降风险(或者更具体地说,泥土萎缩诱发沉降),法国几十年来一直强制对此进行保险。 在过去二十年中,我们利用代表家庭保险市场四分之一左右的若干保险人提供的数据,为保险人提出了一些统计模型,以预测这些干旱的发生频率,但也预测这些干旱的强度,表明气候变化可能对这一风险产生重大经济后果。 但是,即使我们使用比标准回归型模型(这里随机森林可以捕捉非线性和交叉效应)更先进的模型(这里是随机森林,可以捕捉非线性和交叉效应 ), 也很难预测沉积索赔的经济成本,即使所有地球物理和气候信息都存在。