引出个人的风险态度——不同的程序，不同的发现

Q3 Decision Sciences

International Journal of Information and Decision Sciences Pub Date : 2023-01-01 DOI:10.1504/ijids.2023.132823

Sven Grüner, Norbert Hirschauer, Felix Krüger

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引用次数: 0

摘要

我们比较了引出个人风险态度的三种程序:霍尔特和劳里(2002)，埃克尔和格罗斯曼(2002)以及德国社会经济小组的一般承担风险意愿问题。采用学科内设计，我们对就读于物理学、计算机科学、农业科学、法律和历史学位课程的学生进行了课堂实验。我们发现，通过三个程序测量的风险态度有很大的差异。这对这些测量仪器的有效性提出了严峻的挑战。

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Eliciting individual risk attitudes - different procedures, different findings

We compare three procedures for eliciting individual risk attitudes: Holt and Laury (2002), Eckel and Grossman (2002) and the general willingness-to-take-risks question of the German socio-economic panel. Using a within-subject design, we carry out a classroom experiment with students who are enrolled in the degree programs Physics, Computer Sciences, Agricultural Sciences, Law, and History. We find that the risk attitudes as measured by the three procedures diverge substantially. This poses a serious challenge to the validity of these measurement instruments.

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来源期刊

International Journal of Information and Decision Sciences Business, Management and Accounting-Management of Technology and Innovation

CiteScore

1.90

自引率

0.00%

发文量

期刊介绍： In today''s fast-paced business environment, even with an abundance of information, decision-making can be complex and slow. As floods of data emerge, effective information processing is sought as a panacea. With the ever-present spectre of uncertainty, sound decisions are key. As a consequence of the various conflicts/dilemmas, employment of efficient data management leading to better decision-making is the goal. Organisations must employ effective information management/decision-making processes at each critical stage of their functions. IJIDS addresses the issues involved in this. Topics covered include: -AHP or DEA -Behavioural sciences, psychology, sociology -Business intelligence, economics -Computing and decision sciences, data-driven decision making -Decision making in social setting, under uncertainty, with multimedia -Decision support systems/software -Decision theory, decision trees, MCDM -Ethical decision making, group decision making, software -Fuzzy information processing, game theory, grid analysis, informatics, IT -Intelligent agent technologies, neural networks, OLAP -Knowledge discovery in databases, web search, scenario/system analysis -Mathematics of decision sciences, decision making methods/styles -Perspectives of decision making, robust decisions, morphological analysis -Political/public decision making -Risk management, statistics