Are risk preferences consistent?: The influence of decision domain and personality
Introduction
The prediction of risk taking has been the goal of a number of studies. One approach to theoretical development is through understanding the consistency of risky decision-making (e.g. Weber, Blais, & Betz, 2002; Weber & Milliman, 1997). In this paper we consider the influence of personality and decision factors, including risk perception, on domain-specific and cross-domain risk preferences. We base this proposal on the risk modelling of Sitkin and Pablo (1992), and the subsequent empirical work of Sitkin and Weingart (1995).
In contrast to much previous research we consider risk across three domains important in most people’s lives rather than just one domain. The domains were work, health and personal finance, chosen for two reasons. First, it seemed likely that these three key domains are central to many people’s lives, as indicated in previous research (e.g. Byrnes, Miller, & Schafer, 1999). Second, it was thought that these domains would be applicable to almost all respondents in the sample groups chosen.
Two key concepts in this paper are domain-specific preferences and cross-domain consistency. Domain-specific preferences refer to the decision-making and risk preferences within a particular choice domain, for example work. Cross-domain consistency refers to the degree of variation that an individual shows for the same decision-making variable, e.g. risk preference, across each of the decision domains.
Whether someone is consistent or not is significant for both theory and practice. Support for cross-domain consistency would fit the idea that there are relatively stable risk dispositions, which might have a basis in personality. Domain-specific behaviour indicates that risk taking might be influenced by domain-specific risk factors, for example through information framing (e.g. Mittal, Ross, & Tsiros, 2002; Tversky & Kahneman, 1986). In terms of human resource management, a dispositional approach to risk could be managed through selection and placement to match risk preferences to the nature of work in risk sensitive industries, whereas domain-specific risk factors could be managed through systems such as organisational culture and incentive structures.
There is evidence for both approaches. A study of reported risk taking in six decision domains (recreation, health, career, finance, safety and social) found a distinctive personality profile. Risk taking overall was associated positively with extraversion and openness, and negatively with neuroticism, agreeableness and conscientiousness (Nicholson, Soane, Fenton–O’Creevy, & Willman, 2005). Kowert and Hermann (1997) found that risk taking was associated positively with openness and negatively with conscientiousness and agreeableness. The risk and personality research has two important implications. First, risk behaviour can be understood in terms of dispositional motivations. For example, people will take or avoid risks to achieve goals that are consistent with their character, e.g. extraverts take risks because of a generalised need for sensation (Zuckerman, 1994), and sensation is the goal of their risk taking. Second, since personality is relatively stable across adulthood (McCrae & Costa, 1997), tendencies to take or avoid risk might also be robust.
Much of the research into the influence of situational factors upon risk taking has been based upon prospect theory (Kahneman & Tversky, 1979). Research by the theory’s authors (e.g. Tversky & Kahneman, 1986) has shown that decision-making is influenced by relative perceptions of loss and gain: people become risk-averse when they think they are ahead, and risk-seeking when they think they are behind. The suggested implication is that risk preferences are variable. However, some studies have found that there can be strong associations between different types of risk taking. A study of managerial risk taking found that, while there were few generalised consistencies among measured risk behaviours, some individuals had consistent responses to different measures of risk (MacCrimmon & Wehrung, 1986). However, these studies did not measure the effects of dispositions on risk taking.
A second factor, important in understanding the variability of risk taking is the approach to data analysis; notably, a focus on individual data. The research discussed above suggests that individual level risk behaviour could be influenced by a combination of personality and situational variables such as loss and gain. The combination of factors could vary on an individual-level basis and be determined by the strength of personality characteristics and psychological decision preference variables. It could be proposed that, if risk preferences are shaped by personality, people who have a particular pattern of strong personality characteristics that are associated with consistent approaches to decision-making will be consistent in their risk taking across domains. If risk preferences are shaped by decision characteristics then risk decisions are more likely to be variable and inconsistent across domain.
Three questions present themselves from considering the literature above:
- 1.
Can people be characterised as consistent in their risk preference across different areas of their lives, and if so are there differences between them and inconsistent people in terms of personality and factors associated with risk-related decision-making?
- 2.
Can personality variables predict the risk preferences of those people characterised as inconsistent?
- 3.
Are different combinations of personality and risk factors important to risk preference within different decision domains?
Section snippets
Participants
The sampling strategy targeted people engaged with different types of risk via professional or non-work activities; it is acknowledged that the groups are not mutually exclusive. Heterogeneity within and across groups and variance on the individual-level variables in the questionnaire were sought. The groups were academics; chess players; firefighters; mountaineers and traders in financial markets. Each group has been the subject of previous research into risk taking.
Academics have provided a
Can people be categorised as consistent and inconsistent across domain, and do these groups differ in terms of personality and risk variables?
A frequency count revealed that 51 participants (14.25% of the sample) were consistent in their risk preferences across the three decision domains. The data in Table 1 shows that the consistent group was lower in neuroticism, higher in agreeableness and conscientiousness and was less variable in their approach to considering payoffs and costs associated with risky decisions.
The consistent group was then split into two: people who were consistently risk averse (N = 37) and those who were
Discussion
The first stage of the analysis examined the differences between people who were consistent in their risk preferences across domains, and those who were inconsistent. The data in Table 2 show that there are a number of significant differences between the consistent and the inconsistent groups. The differences in personality fit with the nature of the dispositional factors. The trait of neuroticism is described by Costa and McCrae (1992) as representing emotional stability. The association of a
References (30)
- et al.
Sensation seeking and involvement in chess
Personality and Individual Differences
(2002) - et al.
Gender differences in risk behaviour in financial decision making: An experimental analysis
Journal of Economic Psychology
(1997) - et al.
Looking closer at the effects of framing on risky choice: An item response theory analysis
Organizational Behavior and Human Decision Processes
(1998) - et al.
Gender differences in risk taking: A meta-analysis
Psychological Bulletin
(1999) - et al.
Revised NEO personality inventory (NEO PI-R) and NEO five-factor inventory (NEO-FFI) professional manual
(1992) Reconsidering reflexivity: Introducing the case for intellectual entrepreneurship
Qualitative Health Research
(2003)Mood effects on decision making strategies
Australian Journal of Psychology
(1989)Human factors in firefighting—ergonomic, cardiopulmonary, and psychogenic stress-related issues
International Archives of Occupational and Environmental Health
(1992)- et al.
Problem domain and prospect frame: Choice under opportunity versus threat
Personality and Social Psychology Bulletin
(1996)
Effects of fatigue and other negative mood states in everyday decision making
Cognition and Emotion
Crucial decisions: Leadership in policy making and crisis management
Coping with decision conflict
American Scientist
The big five inventory—versions 4a and 54
Prospect theory: An analysis of decision under risk
Econometrica
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