风险和信任态度的代际传递:利用基因信息双胞胎数据复制并扩展 "Dohmen、Falk、Huffman 和 Sunde 2012 "的内容

IF 3.2 2区 社会学 Q1 SOCIOLOGY Social Science Research Pub Date : 2024-02-21 DOI:10.1016/j.ssresearch.2024.102982
Christoph Spörlein , Cornelia Kristen , Regine Schmidt
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引用次数: 0

摘要

该研究基于德国社会经济调查小组(GSOEP)的数据,揭示了父母和子女的态度之间存在正相关关系。原始研究的作者认为,家庭中的社会化在传递过程中非常重要。有越来越多的证据表明,家庭内部的传播有相当大的遗传因素,这就对社会化作为主要传播途径提出了质疑。为了在社会传播的基础上考虑遗传传播,该研究利用了德国双胞胎家庭面板 TwinLife。研究结果表明:首先,儿童的风险和社会信任态度的大部分差异可归因于非共享环境的差异,其次是遗传差异,而共享家庭环境的差异--社会传播的主要候选者--并不重要。其次,父母和子女态度之间的相关性主要涉及遗传相似性。第三,家庭条件并不影响这些关系。因此,研究结果并不支持社会化假设。
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The intergenerational transmission of risk and trust attitudes: Replicating and extending “Dohmen, Falk, Huffman and Sunde 2012” using genetically informed twin data

This replication revisits an influential contribution on the intergenerational transmission of risk and trust attitudes, which, based on data from the German Socioeconomic Panel (GSOEP), reveals a positive correlation between parents' and children's attitudes. The authors of the original study argue that socialization in the family is important in the transmission process. The replication is motivated by mounting evidence indicating that within-family transmission has a considerable genetic component, which calls into question socialization as the main transmission pathway. To consider genetic transmission in addition to social transmission, the replication relies on the German twin family panel TwinLife. The findings reveal that, first, most of the variation in children's risk and social trust attitudes is attributable to differences in the non-shared environment, followed by genetic differences, whereas differences in the shared family environment – the main candidate for social transmission – do not matter. Second, correlations between parents' and children's attitudes essentially involve genetic similarity. Third, family conditions do not moderate these relationships. Thus, the findings do not support the socialization assumption.

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来源期刊
CiteScore
4.30
自引率
4.00%
发文量
0
审稿时长
65 days
期刊介绍: Social Science Research publishes papers devoted to quantitative social science research and methodology. The journal features articles that illustrate the use of quantitative methods in the empirical solution of substantive problems, and emphasizes those concerned with issues or methods that cut across traditional disciplinary lines. Special attention is given to methods that have been used by only one particular social science discipline, but that may have application to a broader range of areas.
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