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The Analysis of Risk Attitude Amongst Family Members

机译:家庭成员的风险态度分析

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The determinants of risk attitude amongst family members are explored using data from the German Socio-Economic Panel over the period 2004 to 2009. The focus of the analysis is the repeated responses to the survey question about general willingness to take risk. Responses to this question are provided on a 0-10 Likert scale. We respect both the ordinality and the panel structure of the data by estimating the random effects ordered probit model. We divide household members into thee types: heads, spouses and offspring. Of the three types, we find that spouses are the most risk averse, and offspring the least risk averse. In view of these findings, we estimate the model separately for the three groups and find different results between the three. For example, household income has a positive effect (on risk-taking) for heads and spouses (particularly strong for spouses), but no effect on offspring. Some effects are similar between the the three groups; for example, risk aversion always increases with age. In the offspring equation, we include both the head’s and the spouse’s risk attitude as explanatory variables, and find that both have a significantly positive effect on the offspring’s risk-attitude, indicating that children tend to inherit the risk attitude of their guardians. We then focus on couples in the data set, and we apply the random effects bivariate ordered probit model to the analysis of the simultaneous determination of the male’s and the female’s risk attitude. In this model, the individual-specific effects for the male and the female are assumed to have a non-zero correlation, which is estimated to be +0.412. This significantly positive correlation is interpreted as a form of homophily: individuals tend to form partnerships with others having a similar risk attitude. The importance of respecting the ordinality of the data is confirmed when a straightforward (linear) seemingly unrelated model is applied to the same problem; this gives a correlation of only +0.27: a seriously downward-biased estimate of this key parameter.
机译:使用德国社会经济专家小组2004年至2009年的数据探讨了家庭成员中风险态度的决定因素。分析的重点是对有关冒险总体意愿的调查问题的重复回答。对这个问题的回答以0-10的李克特量表提供。我们通过估计随机效应有序概率模型来尊重数据的常规性和面板结构。我们将家庭成员分为以下类型:户主,配偶和后代。在这三种类型中,我们发现配偶是风险最大的厌恶者,而后代是风险最小的厌恶者。鉴于这些发现,我们分别为三个组估计模型,并在三个组之间找到不同的结果。例如,家庭收入对父母和配偶(特别是对配偶而言)具有积极的影响(对冒险),但对后代没有影响。这三组之间的某些效果相似。例如,风险规避总是随着年龄增长而增加。在后代方程中,我们将头和配偶的冒险态度都包括在内作为解释变量,并且发现两者都对后代的冒险态度产生了显着的积极影响,表明孩子倾向于继承监护人的冒险态度。然后,我们专注于数据集中的夫妻,并将随机效应双变量有序概率模型应用于同时确定男性和女性的风险态度的分析。在此模型中,假定男性和女性的个体特异性效应具有非零相关性,估计为+0.412。这种明显的正相关被解释为同质的一种形式:个人倾向于与具有相似风险态度的其他人结成伙伴关系。当将一个简单的(线性)看似无关的模型应用于同一问题时,就可以确定尊重数据序数的重要性。得出的相关系数仅为+0.27:此关键参数的估计值严重偏下。

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